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
GPU Cloud Computing
& AI Infrastructure
Rent high-performance RTX 3090 GPU compute from $0.15/hr, S3-compatible storage from $2.50/TB, and managed OpenClaw AI agents. Transparent pricing, a clean API, zero enterprise overhead.
- $0.15per GPU hour
- $2.50per TB / month
- $14.99OpenClaw agent / mo
- <60sdeployment time
- API-firstdeveloper access
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, ready in seconds.
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.
- 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
- Spin up in under 60 seconds
Compare GPU server rental, cheap GPU cloud options.
gpu-node-01 · running
LIVE
GPU Model
RTX 3090 · 24 GB GDDR6X
Utilization
VRAM Used
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 ready in 42sAPI 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
Objects
2.4 M files · 847 GB used
Durability
99.999999999% · 3-zone erasure
Requires BHK access key and secret. See dashboard
$ aws s3 cp ./model.bin s3://ml-checkpoints/ \
--endpoint-url https://s3.bhkcloud.com
upload: 14.2 GB in 9.1sAI 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
- 24/7 uptime with automatic updates
- Launch in under 60 seconds
openclaw-instance-01 · running
PRE-LAUNCH
Agent
OpenClaw · Latest Release
Platforms
Linux · macOS · Windows
Uptime
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 ready in 42sHow It Works
Deploy in three steps.
From first contact to running GPU workloads in under two minutes.
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 zero to training in seconds.
03
Scale & Pay as You Go
Pay only for compute and storage you actually use, billed by the hour. No minimums, no commitments. Scale down anytime.
Pricing
Transparent, usage-based pricing.
No hidden fees. No annual commits. No enterprise lock-in.
API Storage
$2.50
per TB / month · zero egress
- S3-compatible API access
- Hot, warm & archival tiers
- Versioning & lifecycle rules
- Signed URLs & CDN support
- Strong consistency
- 11-nines durability
Enterprise
Custom
dedicated capacity & SLAs
- Dedicated GPU nodes
- Reserved capacity
- Custom SLA & uptime
- Priority support
- Multi-region options
- Volume discounts
OpenClaw Instance
$14.99
per month · managed AI agent
- Hosted OpenClaw agent
- Any OS, any platform
- Latest AI models included
- REST API & CLI access
- 24/7 uptime guarantee
- Automatic updates
Interactive Estimator
GPU Compute
100 hrs
Object Storage
5 TB
Est. monthly cost
$22.45
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+ |
| Minimum commitment | None | Often required |
| GPU deployment time | < 60 seconds | 2 – 10 minutes |
| 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. There are no minimum commitments. Spin up for a single experiment 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 fast can I deploy a GPU node?
Typical deployment time is under 60 seconds. Pre-baked images for PyTorch, TensorFlow, and CUDA are ready to go, so you can be running training or inference jobs within two minutes of launch.
Do you offer committed capacity or enterprise plans?
Yes. If you need reserved GPU nodes, dedicated hardware, custom SLAs, 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. We'll set up your account, walk you through the API, and have you running within the same business day.
Ready to deploy?
Tell us about your workload and we'll get you running on the right setup in minutes.