On-demand infrastructure from Frankfurt

GPU Cloud Computing & AI Infrastructure

Rent high-performance RTX 3090 GPU compute from $0.15/hr, NVIDIA datacenter and professional GPUs (H100, H200, B200, B300, RTX PRO 6000 SE) with rates shown when available, S3-compatible storage from $2.50/TB, and managed OpenClaw AI agents. Transparent pricing, a clean API, zero enterprise overhead.

  • 24 GBRTX 3090 VRAM
  • By requestcapacity confirmed before fulfillment
  • API-firstdeveloper access
$0.15 per RTX 3090 GPU hour
$2.50 per TB of storage / month
Frankfurt European capacity by request
By request capacity confirmation
$14.99 per OpenClaw agent / month

What is BHK Cloud? BHK Cloud is a Frankfurt-based provider of affordable GPU compute, S3-compatible storage, and managed AI infrastructure for European and international teams. Read the company profile.

GPU Hosting

RTX 3090 compute, available by request.

Rent AI compute with 24 GB GDDR6X memory, 10,496 CUDA cores, and tensor performance tuned for modern workloads. Provision through a clean API and pay by the hour. For larger models we also rent NVIDIA datacenter and professional GPUs by the GPU hour: H100, H200, B200, B300 and RTX PRO 6000 SE, with capacity and placement confirmed before fulfillment.

  • Hourly billing. Pay only for what you run
  • Pre-baked images for PyTorch, TensorFlow & CUDA
  • Persistent volumes and snapshot support
  • Direct SSH and API-based orchestration
  • Capacity confirmed before fulfillment

Compare GPU server rental, cheap GPU cloud options.

gpu-node-01 · running LIVE
GPU Model RTX 3090 · 24 GB GDDR6X
Utilization
82%
VRAM Used
15.4 GB / 24 GB
CUDA Cores 10,496
API key required. Set BHK_API_KEY before launch
# export BHK_API_KEY=bhk_sk_live_4a2e8b1c9d7f3a5b
$ bhk gpu launch --type rtx3090
→ instance gpu-node-01 subject to capacity confirmation

API Storage

Scalable storage with first-class API access.

S3-compatible GPU storage tuned for model assets, application data, and high-throughput pipelines. Predictable per-TB pricing, zero egress fees.

  • S3-compatible API, a drop-in for existing tooling
  • Tiered pricing for hot, warm, and archival data
  • Strong consistency and regional durability
  • Signed URLs, lifecycle rules, and versioning
  • Zero egress fees between GPU and storage
bucket: ml-checkpoints
Throughput
Throughput varies
Objects 2.4 M files · 847 GB used
Durability Durability details on request
Requires BHK access key and secret. See dashboard
$ aws s3 cp ./model.bin s3://ml-checkpoints/ \
  --endpoint-url https://s3.bhkcloud.com
upload: example transfer complete

AI Agents

Your own AI assistant, fully hosted.

A managed OpenClaw instance — the open-source AI agent that runs on any OS, any platform. Pre-configured, always online, zero setup.

  • Pre-installed OpenClaw with latest AI models
  • Runs on any OS — Linux, macOS, Windows
  • REST API and CLI access built in
  • Update options by request
  • Setup after capacity confirmation
openclaw-instance-01 · running PRE-LAUNCH
Agent OpenClaw · Latest Release
Platforms Linux · macOS · Windows
Service terms Confirm before access
API Calls / mo Unlimited
DM for pre-launch access. First 50 spots.
# Your own AI assistant, fully managed
$ openclaw connect --instance bhk-openclaw-01
→ agent openclaw-instance-01 subject to capacity confirmation

How It Works

Deploy in three steps.

From first contact to running GPU workloads after capacity confirmation.

01

Contact & Get Access

Reach out via our contact form or schedule a demo. We'll configure the right plan for your workload and provision your account.

02

Launch via API or CLI

Spin up GPU nodes and storage buckets with our clean REST API or CLI. Pre-baked images get you from setup to training after provisioning.

03

Scale & Pay as You Go

Choose RTX 3090 hourly compute or request premium datacenter GPUs with a 10-hour minimum per model. Review terms before checkout.

Choose your infrastructure

Match your workload to the right product.

Compare RTX 3090 compute, premium NVIDIA GPUs, and S3-compatible storage. Premium capacity and placement are confirmed before fulfillment.

Pricing

Transparent, usage-based pricing.

No hidden fees. No annual commits. No enterprise lock-in.

GPU Compute

$0.15

per GPU hour · RTX 3090

  • RTX 3090 · 24 GB GDDR6X
  • 10,496 CUDA cores
  • PyTorch, TF & CUDA images
  • Persistent volumes
  • Hourly billing, no lock-in
  • SSH & API access
Order GPU →

Enterprise

Custom

dedicated capacity by quote

  • Dedicated GPU nodes
  • Reserved capacity
  • Service terms by agreement
  • Priority support
  • Multi-region options
  • Volume discounts
Talk to Our Team →

Premium GPU

NVIDIA premium GPUs: H100, H200, B200, B300 and RTX PRO 6000 SE.

On-demand datacenter and professional GPUs billed by the GPU hour in USD, 10-hour minimum per model, no setup fee and no long term commitment. Regions and bundle sizes vary by model. Review the current live rate when available; our team confirms capacity and placement before fulfillment.

NVIDIA H100

80 GB HBM3 per GPU

Rate unavailable/ GPU hour (compute only)

  • Region: Availability to confirm
  • Minimum 10 hours; confirm at checkout
  • Bundle size to confirm
  • SSH, API and direct sales orders
Request quote →

NVIDIA H200

141 GB HBM3e per GPU

Rate unavailable/ GPU hour (compute only)

  • Region: Availability to confirm
  • Minimum 10 hours; confirm at checkout
  • Bundle size to confirm
  • SSH, API and direct sales orders
Request quote →

NVIDIA B200

180 GB HBM3e per GPU

Rate unavailable/ GPU hour (compute only)

  • Region: Availability to confirm
  • Minimum 10 hours; confirm at checkout
  • Bundle size to confirm
  • SSH, API and direct sales orders
Request quote →

NVIDIA B300

288 GB HBM3e per GPU

Rate unavailable/ GPU hour (compute only)

  • Region: Availability to confirm
  • Minimum 10 hours; confirm at checkout
  • Bundle size to confirm
  • SSH, API and direct sales orders
Request quote →

NVIDIA RTX PRO 6000 SE

96 GB GDDR7 per GPU

Rate unavailable/ GPU hour (compute only)

  • Region: Availability to confirm
  • Minimum 10 hours; confirm at checkout
  • Bundle size to confirm
  • SSH, API and direct sales orders
Request quote →

Full month and multi-GPU bookings require capacity confirmation: ask for a quote. Storage from $2.50 per TB/month with zero egress fees between GPU and storage.

Interactive Pricing Calculator

See how much you save with BHK Cloud compared to hyperscalers.

GPU Compute 100 hrs
Object Storage 5 TB
BHK Cloud $27.50 per month
AWS $115.00 per month
Azure $120.00 per month
You save $87.50 (76%) vs AWS

All plans include API access and usage-based billing. Need committed capacity? Talk to us →

Why BHK Cloud

Simple pricing. No bloat.

We cut the enterprise overhead so you get better pricing and a faster developer experience.

Feature BHK Cloud Hyperscaler
RTX 3090 GPU / hour $0.15 $0.90+
Object storage / TB $2.50 $23+
RTX 3090 minimum None Often required
Premium GPU terms 10-hour minimum; capacity confirmed Check provider terms
API complexity Clean, simple REST Dozens of services
S3 compatibility Drop-in compatible Native

Illustrative public on-demand rates reviewed in 2026. Hardware, support, network, and service levels are not direct equivalents. Confirm current third-party pricing before making a decision.

Platform

Built for performance. Priced for builders.

A focused infrastructure stack without the enterprise bloat.

01

RTX 3090 compute power

24 GB VRAM and 10,496 CUDA cores ready for training, inference, and rendering pipelines.

02

API-ready infrastructure

Spin up nodes, attach volumes, and stream data through clean, well-documented endpoints.

03

Scalable object storage

Grow from gigabytes to petabytes without re-architecting. Pay only for what you use.

04

Hourly GPU pricing

Starting at $0.15/hr, built so experimentation never gets billed like enterprise production.

05

Developer-first deployment

CLI, REST API, and infra-as-code patterns. No clicking through 40 settings panels.

06

Secure & reliable

Encrypted data at rest and in transit, regional durability, and strong consistency guarantees.

FAQ

Common questions.

Everything you need to know before getting started.

How does hourly GPU billing work?

You're billed for every hour (or fraction thereof) your GPU node is running. RTX 3090 has no minimum; premium models require at least 10 hours. Run a single experiment on RTX 3090 and shut down when done. Billing stops the moment you terminate the instance.

Is the storage S3-compatible?

Yes. BHK Cloud storage is fully S3-compatible, so you can point your existing AWS CLI, boto3, or any S3 SDK at our endpoint without changing your code. Just set --endpoint-url https://s3.bhkcloud.com.

How is GPU capacity provisioned?

Capacity and placement are confirmed for your workload before fulfillment. Ask our team about setup and image options.

Do you offer committed capacity or enterprise plans?

Yes. If you need reserved GPU nodes, dedicated hardware, custom service terms, or volume-based pricing, contact our team. We'll put together a custom proposal based on your workload and timeline.

What workloads run well on RTX 3090?

The RTX 3090's 24 GB VRAM is useful for LLM inference when the complete model, KV cache, concurrency, and runtime overhead fit in memory. Some roughly 30B-class models can fit with aggressive 4-bit quantization, depending on architecture and context. It is also useful for image generation, LoRA or QLoRA fine-tuning, rendering, and video processing.

What is an OpenClaw instance?

OpenClaw is the leading open-source AI agent — your own personal assistant that runs on any OS and any platform. A hosted OpenClaw instance on BHK Cloud gives you a fully managed deployment: pre-installed, always online, with automatic updates and no setup required. You get REST API and CLI access, plus unlimited monthly API calls. DM us for pre-launch access — first 50 spots available at $14.99/month.

How do I get started?

Fill in the contact form or schedule a demo call. Our team will confirm capacity, payment terms, and the next steps for access.

Ready to deploy?

Tell us about your workload; we'll confirm a suitable setup and availability before fulfillment.