Dedicated 8x RTX 4090
One physical server reserved for your workload. Suitable when the team needs all GPUs on one host and predictable access during a rental window.
- GPU8x RTX 4090
- VRAM192GB total
- AccessSSH / Docker / Jupyter
- RuntimeCUDA + PyTorch
Dedicated GPU rental for AI teams
Provisioned for AI training, LLM fine-tuning, image/video generation and batch inference with SSH, Docker, CUDA, PyTorch and per-GPU container delivery.
Current offer
Launch pricing is designed for the first overseas customers who need a real 8x4090 machine now. Standard and managed tiers keep room for setup, monitoring and support.
One physical server reserved for your workload. Suitable when the team needs all GPUs on one host and predictable access during a rental window.
Market reality
Customer fit
For teams that need separate environments per GPU, we can bind each container to one physical RTX 4090 and expose independent ports for SSH, Jupyter or APIs.
RTX 4090 does not support NVIDIA MIG. We provide Docker-level GPU binding, isolated runtimes and separate access endpoints. This is suitable for independent jobs, team testing and service instances.
Trust package
nvidia-smi for all 8 GPUs, CPU, RAM, disk and driver version screenshots.
CUDA, PyTorch and Docker validation with a small benchmark or customer-provided test.
Bandwidth and latency samples for customer regions, with bandwidth terms quoted separately.
SSH, Jupyter or API endpoint handoff with a paid two-hour test before longer rental.
Process
FAQ
Some workloads require EU residency or low latency. If EU location is mandatory, we state that upfront. If remote training is acceptable, the machine can still be useful for European customers.
Yes, through Docker-level GPU binding and separate ports. RTX 4090 does not support MIG hardware partitioning, so we do not describe it as MIG isolation.
We can provide root or managed access depending on risk profile, rental duration and accepted usage.
Bandwidth is confirmed during quote. Public marketplaces often list GPU price plus bandwidth, so the final comparison should include traffic needs.
Sales inquiry
Tell us your GPU count, target rental length, software stack and whether the workload requires a specific region. We will reply with available inventory, launch pricing and a paid two-hour test option.