NVIDIA GPU RTX A5000 Dedicated Server
Bare-metal NVIDIA GPU RTX A5000 dedicated servers with full root access and dedicated hardware in France and Netherlands. one ready-to-deploy configuration covering 8 cores, 64GB RAM, deployed with unmetered bandwidth and 24/7 support.
- 99.99%Network Uptime
- UnmeteredBandwidth
- InstantSetup
- 24/7Expert Support
- NVIDIARTX A5000
- Up to64 GB
- Up to1000 GB
Build Your Server
Configure your ideal NVIDIA GPU RTX A5000 dedicated server and deploy in minutes.
Instant Setup
Your server will be ready in 1–2 business days.
Available NVIDIA GPU RTX A5000 Servers
| Selected | Server | Location | CPU | RAM | Storage | Bandwidth / Port | Price /mo | Action |
|---|---|---|---|---|---|---|---|---|
| i9-9900K/64/1TB NVMe + RTX A5000 |  Netherlands+1 more | 8 cores | 64 GB | 1000 GB | — | Out Of Stock |
NVIDIA GPU RTX A5000 use cases and scoring
MonoVM Server Score
2.7/10
Hardware index from 8 cores, 64 GB max RAM, 2 locations. Not a customer rating.
Best For
- CUDA or OptiX rendering where scenes fit within 24 GB GPU memory.
- GPU application development and testing on an RTX professional GPU.
- Model inference with a measured 24 GB GPU-memory budget.
- Remote graphics workflows whose application, driver and access protocol support the selected configuration.
Not Ideal For
- Large CPU preprocessing pipelines that need many more than eight physical host cores.
- Models or scenes requiring more than 24 GB on one GPU without a supported memory strategy.
- Assuming an RTX professional GPU listing includes remote-desktop, vGPU or application licences.
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View Details
NVIDIA GPU RTX A5000 Specifications
- Processor
- NVIDIA GPU RTX A5000
- Vendor
- NVIDIA
- Product line
- GPU
- Cores
- 8
- Memory
- 64 GB
- GPU
- RTX A5000
- Storage options
- 1000 GB
- IP addresses
- 1 Free
- Configurations
- 1
- Locations
- 2
- Root access
- Full root / administrator
Network & Locations
Every NVIDIA GPU RTX A5000 ships on a dedicated uplink with unmetered bandwidth, DDoS filtering and 24/7 monitoring.
France- Netherlands
Frequently Asked Questions
Answers to common questions about NVIDIA GPU RTX A5000 servers.
The listed RTX A5000 plan uses an eight-core Intel Core i9-9900K host with 64 GB RAM and 1 TB NVMe storage. Each RTX A5000 has 24 GB GPU memory. The host is not an EPYC or dual-Xeon configuration; confirm the complete plan before sizing CPU-side work.
The plan title identifies an Intel Core i9-9900K with eight physical cores, alongside 64 GB system RAM. That host specification matters for scene preparation, compilation and data loading. Do not assume a GPU-named page uses the same CPU platform as the EPYC GPU servers.
It is a candidate when the application version, driver and remote-access method support the configuration. Verify any application certification and required licences separately. GPU hardware alone does not establish that a complete managed workstation or licensed graphics environment is included.
Compare the complete balance: RTX A5000 provides 24 GB per GPU with the listed eight-core host, while the A4000 configuration pairs 16 GB per GPU with a sixteen-core Ryzen host. Choose according to GPU memory and CPU preparation needs.
No. The 64 GB system RAM and 24 GB GPU memory are separate resources. Some applications can offload or stream data through system RAM, but performance and support vary. Measure the actual scene or model memory requirement at the intended settings.
No. A GPU feature or optional multi-card capability does not establish the installed configuration. Confirm the number of cards, any bridge and application support before designing a multi-GPU workflow. Do not assume GPU memory is automatically pooled.