GPU Cloud Server
GPU Power for AI, Rendering, and VDI
Spin up a high-performance GPU cloud instance built on VMware infrastructure to power demanding workloads — from AI inference and virtual desktop infrastructure to rendering, 3D graphics, and software development.
Benefits of
renting GPU
GPU cloud servers deliver hardware-accelerated performance for AI inference, VDI, rendering, engineering applications, visualization, and graphics-intensive tasks.
With Serverspace, you get VMware-based virtual machines equipped with NVIDIA A16 profiles, along with flexible CPU, RAM, storage, and GPU resource scaling — plus rapid deployment straight from the control panel.
Launch GPU-driven applications without the cost or hassle of buying and maintaining dedicated hardware.
GPU VPS COST
GPU resources are billed upfront for each started hour. All other virtual machine resources use our standard pay-as-you-go pricing and are charged in 10-minute intervals.
Benefits of Serverspace
GPU Cloud
Choose from 4 GB, 8 GB, or 16 GB of dedicated GPU memory to match your workload without renting an entire physical GPU.
Launch GPU-enabled virtual machines for VDI, remote desktops, AI inference, application testing, visualization, and graphics processing.
Coming Soon - Blackwell profiles for advanced AI workloads, rendering, simulations, and graphics-intensive applications.
GPU resources
tailored to your workload
Our GPU servers are built on VMware infrastructure to support a variety of GPU-accelerated use cases. NVIDIA A16 profiles are already available for virtual desktops, visualization, and basic AI workloads, while support for NVIDIA RTX Pro 6000 Blackwell will be introduced in a future update.
Built for VDI, cloud workstations, engineering applications, visualization and basic AI inference. Choose from several GPU memory profiles to fit the demands of your workload.
Coming Soon - NVIDIA RTX Pro 6000 Blackwell profiles will expand the available GPU lineup for AI, generative AI, rendering, simulation, and other resource-intensive workloads. Launch details will be shared in a future update.
Which card actually fits your workload?
NVIDIA RTX A5000 / L40S
For teams that need a fast response right now
- 24–48 GB VRAM
- FP32 / RT cores
- from 30 min rental
- 3D rendering, CAD, and video editing without codec queues
- Production inference for LLMs and diffusion models
- GPU-accelerated virtual desktops (VDI)
- Pay for actual usage — shut it down and billing stops
NVIDIA A100 / H100
For teams training and fine-tuning models from scratch
- 80 GB HBM VRAM
- NVLink clusters
- hourly billing
- Training and fine-tuning large language models
- Batch-processing datasets over long, uninterrupted runs
- Multi-GPU setups for parallel compute
- Peak performance with no throttling on long jobs
Not sure which card fits? Ask our support team — they'll match a configuration to your workload in 15 minutes.