Interhash.ai GPU Cloud

AI GPU cloud built for training & inference

Rent enterprise NVIDIA GPUs for AI workloads in hours, not weeks. Deploy infrastructure for LLM training, fine-tuning, inference, computer vision and generative AI — without buying a single server.

NVIDIA H100, H200, B200 & RTX GPUs
Dedicated or shared infrastructure
Fast deployment, live in hours
Flexible hourly & monthly pricing
A personal technical engineer, not a ticket queue

Get Pricing Book Consultation

H100 · 80GB

72%

H200 · 141GB

88%

B200 · Blackwell

61%

RTX 4090

34%

RTX PRO 6000

55%

< 2 hrs

Deployment

24/7

Engineer support

5GPU models available

<2hours to deployment

24/7engineer support

5solution tracks

99.9%uptime target

1GPU or 100+, your call

5GPU models available

<2hours to deployment

24/7engineer support

5solution tracks

99.9%uptime target

1GPU or 100+, your call

Why Interhash.ai

Infrastructure built for modern AI teams

Whether you're training your first model or operating production inference at scale, get enterprise GPU infrastructure without managing physical hardware.

Fast deployment

Clusters provisioned and ready to work with in hours, not weeks.

Global availability

Regional capacity so your workloads run close to your users and data.

Enterprise GPUs

H100, H200, B200 and RTX cards, non-virtualized and ready for heavy loads.

Personal support

A dedicated technical engineer for your project — not a support queue.

Popular configurations

Ready-to-deploy GPU configurations

Common starting points — every configuration can be customized to your workload and budget.

1× RTX 4090

AI Startup

MVPs
AI SaaS
Model testing

2× H100 Popular

Fine-Tuning Cluster

LoRA
QLoRA
Enterprise models

8× H100

LLM Training

Foundation models
Large datasets
Distributed training

H200 Cluster

Enterprise Inference

Production workloads
High throughput

Built to run hot, quietly

Infrastructure that doesn't blink under load

Years of operating compute-intensive infrastructure at scale, now applied to AI. Here's what that looks like in numbers.

5

GPU models

<2 hrs

Deployment time

24/7

Engineer support

99.9%

Uptime target

PyTorch

DeepSpeed

Kubernetes

Docker

Hugging Face

ComfyUI

LangChain

Ray

PyTorch

DeepSpeed

Kubernetes

Docker

Hugging Face

ComfyUI

LangChain

Ray

Solutions

Infrastructure for every AI workflow

Purpose-built environments for each stage of the AI lifecycle.

LLM Training

Train large language models on dedicated GPU infrastructure.

Learn more →

AI Inference

Reliable inference servers for production AI applications.

Learn more →

Fine-Tuning

LoRA, QLoRA and instruction tuning on right-sized infrastructure.

LoRAQLoRAInstruction tuning

Learn more →

AI Agents

Infrastructure for autonomous and multi-agent systems.

LangGraphCrewAIAutoGenMulti-Agent

Learn more →

Stable Diffusion & FLUX

Image generation pipelines with popular open tooling.

ComfyUIAutomatic1111

Learn more →

Data Processing

Embeddings, vector databases, ETL and analytics at scale.

EmbeddingsVector DBsETLAnalytics

Why GPU cloud

Why companies rent GPUs instead of buying servers

Buy hardware

Rent Interhash.ai GPU cloud

Large upfront investment

Pay only for usage

Weeks to deploy

Ready in hours

Hardware maintenance

Fully managed

Difficult to scale

Scale instantly

Hardware depreciation

Always the latest GPUs

Why us

Why customers choose Interhash.ai

01

Enterprise hardware

Latest-generation NVIDIA GPU infrastructure, non-virtualized.

02

Fast deployment

Most environments ready within hours of approval.

03

Flexible configurations

From one GPU to enterprise-scale clusters.

04

Transparent pricing

Flexible hourly and monthly billing, no hidden fees.

05

Technical support

A dedicated engineer assigned to every project.

06

Scalable infrastructure

Add GPUs whenever your project grows — no re-negotiation.

Who this is for

Designed for teams building with AI

AI Startups Enterprise AI Teams Research Labs Universities SaaS Companies ML Engineers System Integrators

How it works

Start your infrastructure in four simple steps

1

Tell us about your project

A short conversation about your workload and timeline.

TrainingInferenceResearchRendering

2

Get a recommendation

We recommend the optimal GPU configuration for your budget.

3

We deploy your infrastructure

Your cluster is provisioned and configured end to end.

4

Start working

Receive access and start training or serving immediately.

Get pricing

Need GPU resources today?

Receive pricing and infrastructure recommendations within 15–30 minutes.

Average response time: 15–30 minutes
No commitment required
Free consultation

Prefer email? Reach us directly at h.pavlenko@interhash.com

Company

Name

Business email

Telegram / WhatsApp

GPU needed

Number of GPUs

Expected duration

Project description

We use the information you provide only to respond to your request and prepare a quote. See our Privacy Policy for details on how your data is processed and your rights.

FAQ

Frequently asked questions

What GPUs do you provide?

NVIDIA H100, H200, B200, RTX 4090 and other enterprise GPUs.

Can I rent just one GPU?

Yes. Single GPU, multi-GPU or dedicated clusters — whatever fits your project.

How quickly can I start?

Most deployments are completed within a few hours after approval.

Can you help choose the right configuration?

Absolutely. Our engineers recommend the optimal setup based on your workload and budget.

Is this suitable for production?

Yes. We support both research environments and production AI infrastructure.

Can I scale later?

Yes. Additional GPU resources can be added at any time as your project grows.

Ready when you are

Ready to scale your AI infrastructure?

Enterprise GPU resources for AI startups, enterprises and research teams.

Request Pricing Talk to an Expert

Solutions

Train Large Language Models at Scale

Deploy high-performance GPU clusters for pre-training, continued pre-training and fine-tuning of large language models.

Start Training Talk to an Expert

PyTorchDeepSpeedMegatron-LMHugging FaceRayKubernetes

What This Is

Dedicated infrastructure for foundation model training

Build and train foundation models on dedicated NVIDIA GPUs with ultra-fast networking, distributed storage and optimized infrastructure.

Whether you're training a 7B model or scaling to hundreds of billions of parameters, our GPU cloud provides the performance and flexibility needed for modern AI development.

Why Our Infrastructure

Built for serious training runs

01

Dedicated GPU clusters

Non-virtualized hardware reserved for your workload, not shared tenancy.

02

NVLink & high-speed interconnect

Multi-GPU nodes communicate at full bandwidth for large model training.

03

Distributed storage

Fast, scalable storage for datasets and checkpoints across nodes.

04

Kubernetes-ready

Orchestrate training jobs with familiar cloud-native tooling.

05

PyTorch optimized

Pre-configured images tuned for common training stacks.

06

JAX & TensorFlow support

Bring the framework your team already knows.

07

Hourly billing

Pay only for the compute time your runs actually use.

08

One-click deployment

Go from request to running cluster in hours, not weeks.

Recommended GPUs

GPUs suited to LLM training

Recommended

H100

80GB HBM3 · Perfect for large-scale transformer training.

Pre-trainingFine-tuningMulti-GPU

B200

Blackwell generation · Maximum throughput for next-gen foundation models.

Foundation modelsLarge-scale training

L40S

Cost-efficient training and experimentation.

ExperimentationSmaller models

Solution Architecture

How a training cluster comes together

A typical cluster pairs multiple GPU nodes over NVLink and high-speed interconnect, backed by distributed storage for datasets and checkpoints, and orchestrated through Kubernetes for repeatable, fault-tolerant runs.

Datasets & Storage

Distributed, high-throughput storage

GPU Cluster

NVLink-connected multi-node training

Checkpoints & Registry

Versioned model outputs

Use Cases

Built for every stage of model development

Foundation Model Training

Train Llama, Mistral, Qwen and custom transformer architectures.

Continued Pre-training

Extend existing models using proprietary datasets.

Instruction Tuning

Adapt open-source LLMs for production workloads.

Enterprise AI

Train internal knowledge assistants securely.

Research

Academic and scientific language model development.

Performance & Tooling

Runs on the stack your team already uses

Multi-node NVLink clusters
Hourly or monthly billing
Scale from 1 to 100+ GPUs

PyTorchDeepSpeedMegatron-LMHugging Face TransformersRayAccelerateKubernetesDocker

Documentation & API

Built to fit your existing stack

Every deployment ships with API access and console control, so you can automate provisioning or hand it to your engineer of record.

Full API reference and setup guides are shared during onboarding — reach out and we'll get you access.

Talk to an Expert

                        # Launch a training job curl -X POST https://api.interhash.ai/v1/llm-training \ -H "Authorization: Bearer $INTERHASH_KEY" \ -H "Content-Type: application/json"                        \ -d '{"model": "llama-3-8b", "gpus": "8xH100", "framework": "pytorch"}'
                    

FAQ

Frequently asked questions

Can I scale a training run mid-way?

Yes. Additional GPUs can be added to an active cluster as your training needs grow.

Do you support multi-node NVLink clusters?

Yes, our H100 and B200 clusters are connected via NVLink and high-speed interconnect for distributed training.

What frameworks are pre-installed?

PyTorch, DeepSpeed, Megatron-LM, Hugging Face Transformers, Ray and Accelerate are available out of the box, with JAX and TensorFlow also supported.

Ready when you are

Start your first LLM training cluster in minutes.

Start Training Talk to an Expert

Solutions

Deploy AI Inference Infrastructure

Run production-ready inference endpoints with low latency and automatic scaling.

Deploy Endpoint Talk to an Expert

LlamaMistralQwenGemmaDeepSeekMixtralWhisperCLIP

What This Is

Real-time inference, built for production

Serve LLMs, vision models and multimodal applications using optimized GPU instances built for real-time inference.

Reduce costs while maintaining high throughput and predictable latency.

Why Our Infrastructure

Engineered for production traffic

01

Ultra-low latency

Optimized serving stack for fast time-to-first-token.

02

Autoscaling

Capacity adjusts automatically as demand changes.

03

Load balancing

Traffic distributed evenly across your GPU pool.

04

Dedicated GPUs

Reserve capacity for predictable, isolated performance.

05

Private networking

Keep inference traffic off the public internet.

06

API deployment

Stand up an endpoint without managing servers.

07

Monitoring

Track latency, throughput and utilization in real time.

GPU Options

Match GPU to your traffic pattern

RTX 4090

Affordable AI computing.

Light trafficDev/test

L40S

Balanced performance and efficiency.

Mixed workloads

Recommended

H100

Best for large models and high concurrency.

High throughput

B200

Maximum throughput for demanding inference.

Enterprise scale

Solution Architecture

How requests are served

Inference requests are routed through a load balancer to dedicated or shared GPU pools, with autoscaling adjusting capacity to demand and private networking keeping traffic isolated.

Client / API Request

Your application or user

GPU Inference Pool

Autoscaled, load-balanced

Response

Low-latency output, streamed or batched

Best For

Where teams put inference to work

Chatbots

Conversational assistants with real-time responses.

AI APIs

Public or internal APIs backed by GPU inference.

Enterprise Assistants

Internal copilots for employees and teams.

Vision AI

Image and video model serving at scale.

Recommendation Engines

Personalization models with low-latency scoring.

RAG Applications

Retrieval-augmented generation pipelines.

Performance

Throughput and latency, under control

High request throughput
Batch inference
Streaming responses
GPU sharing
Dedicated endpoints

LlamaMistralQwenGemmaDeepSeekMixtralWhisperCLIP

Documentation & API

Built to fit your existing stack

Every deployment ships with API access and console control, so you can automate provisioning or hand it to your engineer of record.

Full API reference and setup guides are shared during onboarding — reach out and we'll get you access.

Talk to an Expert

                        # Send an inference request curl -X POST https://api.interhash.ai/v1/ai-inference \ -H "Authorization: Bearer $INTERHASH_KEY" \ -H "Content-Type: application/json"                        \ -d '{"model": "llama-3-70b", "prompt": "Hello", "stream": true}'
                    

FAQ

Frequently asked questions

What latency should I expect?

Latency depends on model size and GPU choice — our team will help you pick a configuration that meets your SLA.

Can I bring my own model?

Yes, custom and fine-tuned models can be deployed alongside the optimized models we support out of the box.

Is streaming supported?

Yes, both streaming and batch response modes are available for supported models.

Ready when you are

Deploy your inference endpoint today.

Deploy Endpoint Talk to an Expert

Solutions

Fine-Tune AI Models on Dedicated GPUs

Adapt open-source foundation models using your own datasets without managing infrastructure.

Start Fine-Tuning Talk to an Expert

LlamaQwenMistralGemmaDeepSeekPhi

What This Is

From base model to custom assistant

Launch GPU environments optimized for LoRA, QLoRA, PEFT and full fine-tuning workflows.

Train custom assistants, enterprise copilots and domain-specific AI models faster.

Why Our Infrastructure

Infrastructure and outcomes that matter

01

Fast storage

NVMe-backed storage for datasets and checkpoints.

02

Checkpointing

Resume safely from interruptions without losing progress.

03

Distributed training

Scale a fine-tuning job across multiple GPUs when needed.

04

GPU scaling

Add capacity as datasets or models grow.

05

Spot & dedicated instances

Balance cost and reliability to fit your budget.

06

Lower training cost

Pay only for what a fine-tuning run actually needs.

07

Fast iteration

Short feedback loops between experiments.

08

Secure environment

Your data and weights stay isolated to your project.

Recommended GPUs

Right-sized for adaptation, not pre-training

Recommended

H100

80GB HBM3 · Best for larger models and faster iteration.

LoRAQLoRAFull fine-tuning

RTX 4090

Affordable AI computing.

LoRASmall models

L40S

Cost-efficient training and experimentation.

Experimentation

Solution Architecture

How a fine-tuning job runs

Fine-tuning jobs run in isolated environments with fast NVMe storage for datasets and checkpoints, automatic checkpointing for safe interruption and resume, and the option to mix spot and dedicated capacity to control cost.

Base Model + Dataset

Your data, your weights

Fine-Tuning Job

LoRA, QLoRA or full fine-tune

Deployed Model

Ready for inference

Techniques We Support

Pick the approach that fits your model and budget

LoRA

Lightweight adaptation with a small set of trainable parameters.

QLoRA

Quantized LoRA for fine-tuning larger models on less hardware.

PEFT

Parameter-efficient fine-tuning methods beyond LoRA.

SFT

Supervised fine-tuning on labeled instruction data.

RLHF preparation

Infrastructure to prepare data and reward pipelines for RLHF.

Continued Pre-training

Extend a base model's knowledge before task-specific tuning.

Performance & Tooling

Built for fast, affordable iteration

Lower training cost than pre-training from scratch
Fast iteration between experiments
Easy scaling as datasets grow
Secure, isolated environments

LlamaQwenMistralGemmaDeepSeekPhi

Documentation & API

Built to fit your existing stack

Every deployment ships with API access and console control, so you can automate provisioning or hand it to your engineer of record.

Full API reference and setup guides are shared during onboarding — reach out and we'll get you access.

Talk to an Expert

                        # Start a fine-tuning job curl -X POST https://api.interhash.ai/v1/fine-tuning \ -H "Authorization: Bearer $INTERHASH_KEY" \ -H "Content-Type: application/json"                        \ -d '{"base_model": "mistral-7b", "method": "qlora", "dataset": "s3://your-bucket/data"}'
                    

FAQ

Frequently asked questions

Can I bring my own dataset?

Yes, you can upload or connect your own dataset for any supported fine-tuning technique.

Is my data kept private?

Yes, your data and resulting model weights stay isolated to your project and are never used to train other customers' models.

Should I use LoRA or full fine-tuning?

LoRA and QLoRA are faster and cheaper for most adaptation tasks; full fine-tuning suits cases needing maximum control. Our engineers can help you choose.

Ready when you are

Start fine-tuning today.

Start Fine-Tuning Talk to an Expert

Solutions

Infrastructure for AI Agents

Build, deploy and scale autonomous AI agents powered by modern LLMs.

Launch Agents Talk to an Expert

LangChainLlamaIndexCrewAIOpenAI SDKAutoGenHaystack

What This Is

The infrastructure layer for agentic AI

Run production-ready AI agents with GPU acceleration, persistent memory, APIs and tool integrations.

Designed for enterprise copilots, automation platforms and next-generation AI products.

Agent Capabilities

What your agents can do

Reasoning

Multi-step reasoning over complex tasks.

Planning

Break down goals into executable steps.

Tool Calling

Invoke external tools and functions.

RAG

Ground responses in retrieved, up-to-date context.

Memory

Persist context across sessions and tasks.

Multi-agent orchestration

Coordinate specialized agents on shared goals.

Function Calling

Structured calls into your own systems.

Web Search

Pull in live information when needed.

Platform Features

The building blocks, already wired together

01

Vector databases

Built-in support for retrieval and long-term memory.

02

GPU inference

Low-latency inference for reasoning and tool-calling loops.

03

Fast storage

Quick access to context, logs and embeddings.

04

API access

Integrate agents into your existing products.

05

Autoscaling

Handle bursts in agent activity automatically.

06

Monitoring

Observe agent behavior and performance in production.

Recommended GPUs

Sized for reasoning-heavy workloads

Recommended

H200

141GB HBM3e · Ideal for large-context, memory-heavy agents.

Large contextProduction agents

H100

80GB HBM3 · Strong general-purpose choice for agent inference.

Multi-agent systems

RTX 4090

Affordable AI computing.

Dev & prototyping

Solution Architecture

How an agent request flows

Agents run on GPU-accelerated inference endpoints with a vector database for memory and retrieval, API access for tool calling, and autoscaling to handle bursts in agent activity.

Agent Runtime

Tools, APIs & vector memory

GPU Inference

Reasoning & planning

Action / Response

Executed task or reply

Performance & Tooling

Works with your agent framework of choice

Low-latency reasoning loops
Scales with concurrent agent sessions
Persistent memory across tasks

LangChainLlamaIndexCrewAIOpenAI SDKAutoGenHaystack

Perfect For

Teams putting agents into production

Customer Support

Agents that resolve tickets and escalate when needed.

Coding Assistants

In-IDE or CI-integrated coding agents.

Research Agents

Multi-step research and synthesis tasks.

Sales Automation

Outreach, qualification and follow-up agents.

Internal Knowledge Bases

Agents that answer from internal docs.

Business Process Automation

Agents that execute multi-step workflows.

Documentation & API

Built to fit your existing stack

Every deployment ships with API access and console control, so you can automate provisioning or hand it to your engineer of record.

Full API reference and setup guides are shared during onboarding — reach out and we'll get you access.

Talk to an Expert

                        # Run an agent task curl -X POST https://api.interhash.ai/v1/ai-agents \ -H "Authorization: Bearer $INTERHASH_KEY" \ -H "Content-Type: application/json"                        \ -d '{"agent": "support-agent", "input": "Where is my order?", "tools": ["order_lookup"]}'
                    

FAQ

Frequently asked questions

Can agents call external APIs and tools?

Yes, function calling and tool integrations are supported out of the box.

Is persistent memory supported?

Yes, agents can use a vector database to retain context across sessions.

Can I run multi-agent systems?

Yes, multi-agent orchestration is supported alongside frameworks like CrewAI and AutoGen.

Ready when you are

Launch AI agents in minutes.

Launch Agents Talk to an Expert

Solutions

GPU Infrastructure for Stable Diffusion

Generate images faster using optimized NVIDIA GPU instances built for Stable Diffusion, FLUX and modern diffusion models.

Start Generating Talk to an Expert

Stable Diffusion XLFLUXStable Diffusion 3ControlNet

What This Is

Dedicated GPUs for image generation at scale

Run image generation workloads on dedicated GPUs with optimized drivers, fast storage and one-click deployment.

Perfect for production APIs, creative platforms and AI startups.

Why Our Infrastructure

Tuned for render workloads

01

Optimized NVIDIA drivers

Configured for the diffusion model stack out of the box.

02

One-click deployment

Get a render-ready environment running in hours.

03

Fast dedicated storage

Quick access to model checkpoints and generated assets.

04

Multiple concurrent users

Share a GPU pool across a team or serve concurrent API traffic.

Recommended GPUs

High-VRAM options for render workloads

RTX 4090

Affordable AI computing.

Individual creatorsExperiments

L40S

Cost-efficient rendering at scale.

Batch rendering

Recommended

H100

80GB HBM3 · High VRAM for large batches and concurrent users.

Production APIs

Solution Architecture

How a render request is handled

Generation requests run on GPUs with high VRAM for large batch sizes, using optimized CUDA drivers and popular front-ends like ComfyUI and Automatic1111, deployed behind a simple API for production integration.

Prompt / API Request

From your app or UI

GPU Render Node

High VRAM, batched

Generated Output

Image or batch returned

Use Cases

Where teams use generated images

Image Generation

General-purpose text-to-image and image-to-image workloads.

AI Design Tools

Power creative tools with on-demand generation.

Marketing Content

Generate campaign and social assets at scale.

Gaming Assets

Concept art, textures and asset variations.

Product Images

Generate or augment product photography.

Creative Automation

Automate repetitive creative production tasks.

Performance

Fast renders, even at high batch sizes

Fast image generation
High VRAM for large batches
Batch rendering
Multiple concurrent users

CUDAPyTorchDockerComfyUIAutomatic1111InvokeAIKohya

Documentation & API

Built to fit your existing stack

Every deployment ships with API access and console control, so you can automate provisioning or hand it to your engineer of record.

Full API reference and setup guides are shared during onboarding — reach out and we'll get you access.

Talk to an Expert

                        # Generate an image curl -X POST https://api.interhash.ai/v1/stable-diffusion \ -H "Authorization: Bearer $INTERHASH_KEY" \ -H "Content-Type: application/json"                        \ -d '{"model": "sdxl", "prompt": "a studio product photo", "steps": 30}'
                    

FAQ

Frequently asked questions

Which models and checkpoints can I run?

Stable Diffusion XL, FLUX, Stable Diffusion 3 and ControlNet are supported, along with custom checkpoints.

Can multiple users share a GPU?

Yes, GPUs can be shared across a team or configured as dedicated instances for production traffic.

Is there an API for production use?

Yes, every deployment includes API access suitable for production integration.

Ready when you are

Start generating images with dedicated GPUs.

Start Generating Talk to an Expert

About Interhash.ai

Built on Years of High-Performance Computing

From operating large-scale mining infrastructure to powering the next generation of AI.

For years, we've managed high-performance computing infrastructure where uptime, efficiency and scalability are critical. Today, we apply that expertise to deliver enterprise GPU cloud solutions for AI training, inference and production workloads.

Start Building Talk to Our Team

8+

Years of HPC Experience

1000s

Devices Managed

24/7

Infrastructure Monitoring

<2 hrs

AI Deployment Time

Our Story

High-Performance Computing Is in Our DNA

Artificial intelligence didn't create the need for powerful computing — it accelerated it.

Long before the AI boom, our team was building, operating and optimizing large-scale computing infrastructure for cryptocurrency mining. Managing thousands of compute devices, maximizing performance, ensuring uptime and optimizing energy efficiency became part of our daily operations.

As the market evolved, so did we. Today, we bring the same operational expertise to modern GPU infrastructure, helping businesses train models, deploy AI applications and scale production workloads with confidence.

Why Our Experience Matters

Running AI infrastructure isn't just about renting GPUs.

It's about operating reliable, high-performance computing environments that remain stable under continuous load. Our experience includes:

Operating large-scale computing infrastructure
Managing thousands of high-performance devices
Infrastructure monitoring 24/7
Power and cooling optimization
Performance tuning
Resource utilization optimization
Infrastructure automation
Enterprise-grade reliability

From Mining to AI

Different Workloads. Same Infrastructure Expertise.

Mining Infrastructure

AI Infrastructure

High-performance computing

Large-scale GPU/ASIC operations

Large-scale GPU clusters

Infrastructure monitoring

AI workload monitoring

Power optimization

GPU optimization

Continuous uptime

Production reliability

Cluster management

AI cluster orchestration

The technologies have changed, but the core challenge remains the same: building reliable, efficient and scalable computing infrastructure.

What We Build Today

GPU Infrastructure for Modern AI

We provide infrastructure for every stage of the AI lifecycle.

LLM Training

Train foundation models on dedicated GPU clusters.

Learn more →

AI Inference

Serve production AI applications with low latency.

Learn more →

Fine-Tuning

Customize open-source models using your own data.

Learn more →

AI Agents

Power autonomous AI workflows and enterprise assistants.

Learn more →

Image Generation

Deploy Stable Diffusion, FLUX and other diffusion models.

Learn more →

Dedicated GPU Clusters

Private infrastructure for enterprise workloads.

Learn more →

Our Approach

Infrastructure First

We believe AI innovation starts with reliable infrastructure. Instead of building another AI application, we focus on providing the computing foundation that enables thousands of AI applications to run efficiently. That means:

High-performance GPUs

Fast networking

Scalable storage

Enterprise security

Flexible deployment

Transparent pricing

Dedicated support

Built for Scale

Designed for Demanding Workloads

Whether you're training your first model or deploying enterprise AI at scale, our infrastructure is built to grow with you.

From a single GPU instance to multi-node clusters, we help organizations move faster without the complexity of managing hardware.

Why Companies Choose Us

Built by people who've run infrastructure before

Years of HPC Experience

Real operational expertise managing compute-intensive infrastructure.

AI-Focused Platform

Infrastructure optimized specifically for machine learning workloads.

Enterprise Reliability

Built for production environments where uptime matters.

Scalable by Design

Grow from experimentation to enterprise deployments without changing platforms.

Engineering-Driven

Designed by infrastructure specialists, not just software developers.

Our Vision

Building the Infrastructure Behind the AI Revolution

Artificial intelligence is becoming the next layer of global computing.

Our mission is to provide the infrastructure that makes this transformation possible.

By combining years of experience in high-performance computing with modern GPU technologies, we're helping companies build, train and deploy AI faster than ever before.

Our Journey

From mining infrastructure to AI cloud

2017

Started building large-scale mining infrastructure.

2019

Expanded global computing operations.

2021

Managed enterprise-grade high-performance computing environments.

2023

Began deploying GPU infrastructure for AI workloads.

2025+

AI Cloud Platform for training, inference and enterprise GPU computing.

Ready when you are

Ready to Build on Proven Infrastructure?

Start for Free Contact Sales

Solutions

Infrastructure for Every AI Workflow

From training foundation models to serving production inference, we provide purpose-built GPU environments for every stage of the AI lifecycle.

Get Pricing Talk to an Expert

5

Solution Tracks

5

GPU Models Available

<2 hrs

Deployment Time

24/7

Engineer Support

LLM Training

Train large language models on dedicated GPU infrastructure.

Learn more →

AI Inference

Reliable inference servers for production AI applications.

Learn more →

Fine-Tuning

LoRA, QLoRA and instruction tuning on right-sized infrastructure.

LoRAQLoRAInstruction tuning

Learn more →

AI Agents

Infrastructure for autonomous and multi-agent systems.

LangGraphCrewAIAutoGen

Learn more →

Stable Diffusion & FLUX

Image generation pipelines with popular open tooling.

ComfyUIAutomatic1111

Learn more →

Not Sure Which Fits?

Our engineers help you choose

01

Tell us about your workload

Training, inference, fine-tuning, agents or image generation — we'll ask a few questions to understand your needs.

02

Get a configuration recommendation

We recommend the GPU type and cluster size that fits your budget and timeline.

03

Deploy in hours

Once approved, most environments are ready within hours.

Ready when you are

Ready to find the right solution for your workload?

Get Pricing Talk to an Expert

Host with Interhash

Turn Idle GPU Capacity Into Recurring Revenue

List your data center's GPU hardware with Interhash and get matched with enterprise AI training and inference workloads — you set the price, we bring the demand.

Apply to Host Talk to Our Team

You set the priceWeekly payoutsNo infrastructure lock-in

Why Host With Us

Built to make hosting worth your while

01

You keep full pricing control

Set your own rates for GPU time, storage and bandwidth — we never dictate what you charge.

02

Weekly payouts

Get paid on a predictable weekly cycle, with full visibility into what you've earned.

03

Enterprise-grade demand

Get matched with real AI training and inference workloads, not one-off spot requests.

04

Dedicated onboarding support

A technical team helps you get listed and configured correctly from day one.

05

Reliability-friendly maintenance

Scheduled maintenance announced in advance doesn't hurt your standing — only unplanned downtime does.

06

Team accounts for larger operations

Give your ops team shared access to manage listings, pricing and payouts together.

The Opportunity

Idle capacity, meet recurring revenue

Without Interhash

With Interhash

Hardware sits idle between contracts

Idle time turns into billable hours

Manually chasing one-off rental customers

Continuous inbound demand from AI teams

Opaque, one-size-fits-all pricing

You set and adjust your own rates

Uncertain, delayed payments

Predictable weekly payouts

Whether you're bridging the gap before a long-term contract or building a permanent revenue stream, your hardware doesn't have to sit unused.

Requirements

What you need to get started

Getting your hardware listed is straightforward — most hosts are live within days.

A supported Linux distribution (Ubuntu 22.04 or 24.04)
A lightweight monitoring agent installed on each machine
Stable internet connectivity with reasonable upload bandwidth
A minimum listing commitment of about one month for the best results

Pricing & Payouts

Your price, your payout — no surprises

We give you the tools to price competitively, but the decisions stay yours.

You set your own hourly rate for GPU time, storage and bandwidth
Whatever you list is exactly what you're paid — no hidden deductions
Payouts run on a predictable weekly cycle
Pricing guidance helps you stay competitive without racing to the bottom

FAQ

Frequently asked questions

Do I lose control over pricing?

No. You set your own rates for GPU time, storage and bandwidth. Interhash never dictates what you charge.

How often do I get paid?

Payouts run weekly, with full visibility into what you've earned.

What happens if my hardware goes offline?

Scheduled maintenance announced in advance doesn't affect your standing. Unplanned downtime is handled case by case, and we work with you to minimize impact on renters.

Can multiple people on my team manage the listing?

Yes. Larger operations can set up team access so pricing, monitoring and payouts can be managed collaboratively.

Is there a minimum commitment?

We recommend listing hardware for at least a month to give it a fair chance to build utilization and a reliability track record, though shorter arrangements can be discussed.

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Legal

Privacy Policy

Last updated: July 7, 2026

This Privacy Policy explains how Interhash.ai ("Interhash.ai", "we", "us" or "our") collects, uses, shares and protects information when you visit our website, submit a request through our contact form, or use our GPU cloud services (collectively, the "Services").

1. Information We Collect

We collect information you provide directly to us, including:

Contact details you submit through our forms, such as name, company name, business email address and messaging handle (Telegram/WhatsApp).
Project information you share with us, such as GPU requirements, expected duration and a description of your project.
Account and billing information if you become a customer, including invoicing details and payment information (processed by our payment providers).
Communications you send us, such as emails or messages to our support and sales teams.

We also automatically collect certain technical information when you visit our website, including:

IP address, browser type and device information.
Pages visited, referring URLs and general usage patterns.
Cookies and similar technologies, as described in our Cookie Policy.

2. How We Use Your Information

We use the information we collect to:

Respond to your inquiries and prepare pricing or infrastructure recommendations.
Provide, operate, maintain and improve our Services.
Communicate with you about your account, requests or changes to our Services.
Monitor and analyze usage and trends to improve website and service performance.
Detect, prevent and address fraud, abuse, security incidents or technical issues.
Comply with applicable legal obligations.

3. Legal Basis for Processing

Where applicable data protection law requires it (for example, under the GDPR), we process personal data on the following legal bases: your consent (for example, when you submit our contact form), the necessity of processing to perform a contract with you, our legitimate interests in operating and improving our business, and compliance with legal obligations.

4. How We Share Information

We do not sell your personal information. We may share information with:

Service providers who perform services on our behalf, such as hosting, analytics, email delivery and payment processing, under appropriate confidentiality and data protection obligations.
Professional advisors, such as lawyers and accountants, where necessary.
Authorities, where required by law, regulation or valid legal process.
A successor entity, in connection with a merger, acquisition or sale of assets, subject to standard confidentiality arrangements.

5. Data Retention

We retain personal information for as long as necessary to fulfill the purposes described in this Policy, including to provide our Services, comply with legal obligations, resolve disputes and enforce our agreements. Contact form submissions that do not convert into a customer relationship are retained for a limited period and then deleted or anonymized.

6. Your Rights

Depending on your location, you may have the right to: access the personal information we hold about you; request correction of inaccurate information; request deletion of your information; object to or restrict certain processing; request a portable copy of your information; and withdraw consent at any time where processing is based on consent.

To exercise any of these rights, contact us at privacy@interhash.ai. We may need to verify your identity before responding to your request.

7. Data Security

We implement reasonable technical and organizational measures designed to protect personal information against unauthorized access, loss, misuse or alteration. No method of transmission or storage is completely secure, and we cannot guarantee absolute security.

8. International Data Transfers

We may process and store information in countries other than your own. Where we transfer personal information internationally, we take steps to ensure appropriate safeguards are in place in accordance with applicable data protection law.

9. Children's Privacy

Our Services are intended for businesses and professionals and are not directed to individuals under the age of 18. We do not knowingly collect personal information from children.

10. Changes to This Policy

We may update this Privacy Policy from time to time. We will post the updated version on this page with a revised "Last updated" date. Material changes may be communicated through our website or by other means.

11. Contact Us

If you have questions about this Privacy Policy or our data practices, contact us at privacy@interhash.ai.

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Legal

Terms of Service

Last updated: July 7, 2026

These Terms of Service ("Terms") govern your access to and use of the Interhash.ai website and GPU cloud infrastructure services (collectively, the "Services"). By accessing our website or using our Services, you agree to be bound by these Terms. If you do not agree, do not use the Services.

1. Description of Services

Interhash.ai provides on-demand access to NVIDIA GPU infrastructure for AI training, fine-tuning, inference and related workloads, on a dedicated or shared basis, billed hourly or monthly as agreed between the parties.

2. Eligibility and Accounts

You must be authorized to act on behalf of the company or organization you represent when submitting a request or entering into an agreement with us. You are responsible for maintaining the confidentiality of any account credentials and for all activity that occurs under your account.

3. Acceptable Use

You agree not to use the Services to:

Violate any applicable law or regulation, including export control and sanctions laws applicable to GPU hardware and AI technologies.
Train, host or distribute models or content that is illegal, infringing, or that facilitates harm, fraud or abuse.
Attempt to gain unauthorized access to our systems or those of other customers.
Interfere with or disrupt the integrity or performance of the Services.
Use the Services for unauthorized cryptocurrency mining or resource abuse outside the scope of your agreed usage.

We may suspend or terminate access for use that we reasonably believe violates this section.

4. Pricing and Payment

Fees are based on the GPU configuration, billing model (hourly or monthly) and duration agreed at the time of order. Fees are due in accordance with the invoicing terms communicated to you. Late or non-payment may result in suspension or termination of Services.

5. Service Availability

We work to provide reliable, high-performance infrastructure, but the Services are provided on an "as available" basis unless a separate service level agreement has been signed. Scheduled maintenance and factors outside our reasonable control may affect availability.

6. Your Data and Content

You retain all rights to the models, datasets and other content you upload or generate using the Services ("Customer Content"). We do not use your Customer Content to train models for other customers. You are solely responsible for ensuring you have the rights necessary to use and process your Customer Content.

7. Intellectual Property

Interhash.ai retains all rights, title and interest in and to the Services, our website and associated software, branding and documentation, excluding your Customer Content. Third-party frameworks, drivers and tools made available as part of the Services remain subject to their respective licenses.

8. Disclaimer of Warranties

Except as expressly stated in a separate written agreement, the Services are provided "as is" and "as available" without warranties of any kind, whether express, implied or statutory, including implied warranties of merchantability, fitness for a particular purpose and non-infringement.

9. Limitation of Liability

To the maximum extent permitted by law, Interhash.ai will not be liable for any indirect, incidental, special, consequential or punitive damages, or for any loss of profits, data or goodwill, arising out of or related to your use of the Services.

10. Indemnification

You agree to indemnify and hold Interhash.ai harmless from any claims, damages or expenses arising from your use of the Services in violation of these Terms or applicable law.

11. Termination

Either party may terminate an agreement for Services in accordance with the terms agreed at the time of order, or immediately in the event of a material breach of these Terms. Upon termination, access to the Services will be discontinued and associated data will be deleted following a reasonable grace period, except where retention is required by law.

12. Governing Law

These Terms are governed by the laws of [Jurisdiction to be specified], without regard to conflict of law principles. Any disputes will be resolved in the courts of that jurisdiction, unless otherwise agreed in writing.

13. Changes to These Terms

We may update these Terms from time to time. Continued use of the Services after changes take effect constitutes acceptance of the revised Terms.

14. Contact Us

Questions about these Terms can be sent to legal@interhash.ai.

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Legal

Cookie Policy

Last updated: July 7, 2026

This Cookie Policy explains how Interhash.ai uses cookies and similar technologies on our website, and the choices available to you.

1. What Are Cookies

Cookies are small text files placed on your device when you visit a website. They are widely used to make websites work, work more efficiently, and provide information to site owners.

2. Types of Cookies We Use

Essential cookies — required for core website functionality, such as navigation and security. These cannot be disabled.
Analytics cookies — help us understand how visitors interact with our website so we can improve it.
Functional cookies — remember choices you make to provide a more personalized experience.
Marketing cookies — may be used to measure the effectiveness of our marketing, where applicable.

3. Third-Party Cookies

Some cookies may be set by third-party services we use, such as analytics providers. These third parties have their own privacy and cookie policies governing their use of information.

4. Managing Your Cookie Preferences

Most browsers allow you to control cookies through their settings, including blocking or deleting cookies. Note that disabling essential cookies may affect the functionality of our website.

5. Changes to This Policy

We may update this Cookie Policy from time to time. Changes will be posted on this page with a revised "Last updated" date.

6. Contact Us

Questions about our use of cookies can be sent to privacy@interhash.ai.

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