HP VGA NVIDIA RTX A4000 16GB GDDR6, PCIe 4.0×16 Card
Enterprise-grade platform, assembled and tested in the EU.
Technical specifications:
Chipset: NVIDIA RTX A4000 Memory: 16 GB GDDR6 Memory bus width: 256-bit Interface: PCI Express Gen 4 x 16 DirectX: DirectX 12.07 Open GL: 4.6 Virtual reality: Yes Cooling: Active DisplayPort: 4x DisplayPort 1.4 External power supply: 1x 6-pin Maximum power supply: 140 W HP VGA NVIDIA RTX A4000 16GB GDDR6, PCIe 4.0×16 Card NVIDIA's Quadro products are a range of professional graphics cards designed for both rackmount servers and, above all, high-performance workstations. These are high-quality GPUs with a large memory, ECC and a special set of drivers that are adapted for work in CAD applications. CUDA technology Users of professional applications can use graphical CUDA stream processors thanks to the CUDA architecture. As a result, the gross performance of the graphics card can be used for specific calculations, which can speed up the work many times over using a conventional processor, which is significantly limited by a lower number of cores. Specifications:| CUDA Cores | 6144 |
| Tensor Cores | 192 |
| RT Cores | 48 |
| Single Precision Performance | 19.2 TFLOPS |
| RT Core Performance | 37.4 TFLOPS |
| Tensor Performance | 153.4 TFLOPS |
| GPU Memory | 16 GB GDDR6 with ECC |
| Memory Interface | 256-bit |
| Memory Bandwidth | 448 GB/sec |
| System Interface | PCI Express 4.0 x16 |
| Display Connectors | 4x DisplayPort 1.4a |
| Maximum Power Consumption | 140 W |
The questions buyers ask us most often before ordering a server.
How long does it take?
Machines built from components we hold ship quickly; anything requiring a specific GPU generation depends on supply. We give you a date before you pay, and if it moves we tell you rather than letting you find out.
Can the configuration be changed before you build it?
Almost always. GPUs, memory, storage and cooling are chosen per order, and the listed configuration is a starting point rather than a fixed package. If you need more VRAM, faster storage or a different cooling approach, say so before you order and we will quote the change.
Can I collect the server in person?
You can. Our warehouse is in Prague, and collection in person is welcome — most people who come use the visit to go through the machine with our engineer and ask the questions that are awkward over email. For orders within the Czech Republic we also try to deliver personally and walk you through the setup on site.
Can I talk to someone who actually understands the workload?
Yes. We have an engineer who works on AI systems specifically, not a general sales desk. If your question is about batch sizes, quantisation, interconnect or where your bottleneck will be, ask it — that conversation usually changes the configuration for the better.
Which model can I run on this configuration?
Yes. Every machine is assembled, burn-in tested and benchmarked on real AI workloads before it ships, and it leaves us with an LLM already installed and running. You plug it in, connect it to your network and start work — the only decision left is which project it runs first.
How do you test a server before shipping?
We run it against actual AI workloads rather than synthetic scores: inference throughput, sustained load behaviour and thermals under continuous operation. You get the benchmark results with the machine, so the performance you were promised is the performance you can verify on day one.
Is the server ready to run when it arrives?
Yes. Every machine is assembled, burn-in tested and benchmarked on real AI workloads before it ships, and it leaves us with an LLM already installed and running. You plug it in, connect it to your network and start work — the only decision left is which project it runs first.
Ships from our EU warehouse. Heavy items may require freight arrangement — contact us for a shipping quote and lead time. 2-year limited warranty with advanced RMA support; extended warranty available.
Not exactly what you need?
Tell us your workload and we'll spec this platform around it — GPUs, memory, storage and cooling matched to what you actually run.