Blackwell Architecture
AI-optimized Tensor Cores deliver next-gen inferencing and neural graphics performance. RT Cores accelerate real-time ray tracing for photorealistic rendering.
RTX Pro 5000 Hosting, Rent Pro 5000 Blackwell GPU VPS
Unlock next-gen workstation performance with RTX PRO 5000 Blackwell. Equipped with 48GB GDDR7 ECC memory and massive 1,344 GB/s bandwidth, it is engineered to eliminate bottlenecks in LLM inference, 3D rendering, and simulation workflows. With 14,080 CUDA cores, experience seamless parallel computing power designed for modern professionals.
RTX Pro 5000 VPS GPU Hosting Pricing
PRO 5000 targets professionals who need a balance of raw compute power, extensive video memory, and advanced multimedia features — from creators and engineers to researchers and data scientists.
Advanced GPU VPS- RTX Pro 5000
- Memory: 60GB RAM
- CPU: 24 CPU Cores
- Disk: 320GB SSD
- Bandwidth: 500Mbps Unmetered Bandwidth
- Once per 2 Weeks Backup
- OS: Windows / Linux
- Dedicated GPU: Nvidia RTX Pro 5000
- CUDA Cores: 14,080
- Tensor Cores: 440
- GPU Memory: 48GB GDDR7
- FP32 Performance: 66.94 TFLOPS
Pro 5000 GPU Benchmarks on LLM Inference
The following data reflects the inference performance benchmarks we conducted for various open-source LLMs, utilizing Ollama and vLLM on our Pro 5000 GPU VPS servers.
Pro 5000 GPU Benchmark with Ollama 0.13.5
| Models | gpt-oss | deepseek-r1 | deepseek-r1 | deepseek-r1 | gemma3 | llama3.3 | qwen3 | qwen2.5 |
|---|---|---|---|---|---|---|---|---|
| Parameters | 20b | 14b | 32b | 70b | 27b | 70b | 32b | 72b |
| Size (GB) | 14 | 9 | 20 | 43 | 17 | 43 | 20 | 47 |
| GPU UTL | 61% | 75% | 85% | 93% | 78% | 91% | 90% | 93% |
| Eval Rate (tokens/s) | 175.26 | 110.01 | 53.53 | 26.07 | 51.10 | 26.05 | 47.58 | 23.72 |
Note: The models are all from the Ollama library. For more testing data, please visit: https://www.databasemart.com/blog/ollama-gpu-benchmark-pro5000
Pro 5000 GPU Benchmark with vLLM
| Models | Llama-3.1-8B | Qwen3-8B | gemma-3-12b-it | gpt-oss-20b | DeepSeek-R1-Distill-Qwen-14B | Qwen3-14B |
|---|---|---|---|---|---|---|
| Quantization | 16 | 16 | 16 | 4 | 16 | 16 |
| Size（GB） | 15GB | 15GB | 23GB | 13GB | 28GB | 28GB |
| Request Numbers | 50 | 50 | 50 | 50 | 50 | 50 |
| Benchmark Duration(s) | 14.19 | 14.12 | 23.55 | 10.42 | 23.84 | 23.98 |
| Request (req/s) | 3.52 | 3.54 | 2.12 | 4.80 | 2.10 | 2.09 |
| Input (tokens/s) | 348.77 | 354.21 | 210.15 | 479.8 | 207.67 | 208.53 |
| Output (tokens/s) | 2113.77 | 2125.27 | 1273.66 | 2878.77 | 1258.62 | 1251.18 |
| Total Throughput (tokens/s) | 2462.54 | 2479.48 | 1483.81 | 3358.57 | 1466.29 | 1459.71 |
Note: The models are all from the Hugging Face library. For more testing data, please visit: https://www.databasemart.com/blog/vllm-gpu-benchmark-pro5000
Specifications of Nvidia RTX PRO 5000
The NVIDIA RTX PRO 5000 Blackwell is a high-performance professional GPU built for modern workstations that demand advanced AI acceleration, real-time ray tracing, and large data-set graphics processing.
Specifications
GPU Microarchitecture
Blackwell
Memory Bandwidth
~1,344 GB/s
CUDA Cores
14,080
Compute Capability
12.0
Tensor Cores
440, 5th Generation
RT Cores
110, 4th Generation
Memory
48 GB GDDR7 with ECC
Memory Bus Width
384-bit
Pixel Rate
418.4 GPixel/s
AI Performance
~2,064 AI TOPS
FP32 Performance
66.94 TFLOPS
FP16 Performance
66.94 TFLOPS
FP64 (double)
1,045.9 GFLOPS
TDP
~300 W
System Interface
PCIe Gen 5.0 ×16
Display Outputs
4× DisplayPort 2.1b
Video Encode / Decode
3× 9th-Gen NVENC, 3× 6th-Gen NVDEC
Release Date
Mar 18th, 2025
Graphics Features
DirectX
12 Ultimate (12_2)
OpenGL
4.6
OpenCL
3.0
Vulkan
1.4
CUDA
12.0
Shader Model
6.8
Features of NVIDIA RTX PRO 5000 Blackwell
Built on NVIDIA’s latest Blackwell architecture, it targets creators, engineers, and developers who need reliable performance in compact or power-constrained systems.
Advanced AI and Compute
5th-Gen Tensor Cores with support for FP4 precision and DLSS 4, delivering high throughput for AI inference and generative workflows.
Large ECC VRAM
Up to 48 GB (and optional 72 GB) of high-bandwidth GDDR7 memory with ECC supports massive datasets, large 3D models, and complex simulations.
5th-Generation Tensor Cores
Delivers significantly improved AI performance, supporting FP4 precision and DLSS 4 Multi-Frame Generation for faster AI inference and models.
High Bandwidth & PCIe Gen5
PCIe Gen5 provides faster data transfer between GPU and CPU, helping performance in large data-intensive AI, simulation, and engineering tasks.
Multi-Instance GPU (MIG)
Enables splitting the GPU into multiple isolated instances, increasing utilization and supporting multi-user or mixed workloads.
What is Nvidia RTX Pro 5000 Server Used for?
Renting a dedicated server with RTX Pro 5000 GPU and quickly commit to projects in these scenarios.
Professional Graphics & Visualization
Great for: High-resolution 3D rendering, Complex CAD/CAE workflows, Photorealistic graphics with ray tracing.
Virtualization & Multi-User Workstations
MIG support enables resource partitioning for multi-user environments or mixed workloads.
Media Production & Post-Processing
Perfect for: 4K/8K video editing, color grading, and encoding, Real-time preview and accelerated effects, and Advanced NVENC/NVDEC engines drive media production pipelines.
AI Development & Inference
Strong AI TOPS and Tensor cores make the RTX PRO 5000 suitable for local AI inference, model prototyping, and accelerated analytics.
Media & Live Production
Enhanced NVENC/NVDEC support enables high-quality video processing, encoding, and real-time streaming — valuable for broadcast and production studios.
Data Science & Simulation
Suitable for: Big data visualization, GPU-accelerated scientific computing, and Multi-application workflows in research and analytics.
Alternatives to the GPU VPS Server with RTX PRO 5000
Multiple GPU Servers to choose from to meet your needs.
RTX Pro 4000 Hosting
A high-performance professional GPU built for modern workstations that demand advanced AI acceleration, real-time ray tracing, and large data-set graphics processing.
RTX A5000 Hosting
Achieve an excellent balance between function, performance, and reliability. Assist designers, engineers, and artists to realize their visions.
RTX A6000 Hosting
High Performance for AI inference, video editing & rendering, Deep Learning and Live streaming.
FAQ of NVD RTX Pro 5000 GPU VPS Hosting
Answers to more questions about the RTX Pro 5000 GPU VPS server hosting service can be found here
What is the NVIDIA RTX PRO 5000?
The RTX PRO 5000 Blackwell is a professional-grade GPU built on NVIDIA’s latest Blackwell architecture, designed for AI, graphics, simulation, and compute-intensive workloads. It features up to 48 GB of ECC GDDR7 memory, advanced Tensor and RT cores, and high-bandwidth memory suited for large models and datasets.
What software & drivers are supported on GPUMart?
GPUMart typically supports:
• NVIDIA RTX Enterprise / Data Center Drivers for stability and virtualization.
• CUDA toolkit for AI frameworks (e.g., TensorFlow, PyTorch).
• Docker & container runtimes with NVIDIA GPU support.
Leave us a message when you place an order.
• NVIDIA RTX Enterprise / Data Center Drivers for stability and virtualization.
• CUDA toolkit for AI frameworks (e.g., TensorFlow, PyTorch).
• Docker & container runtimes with NVIDIA GPU support.
Leave us a message when you place an order.
Is Pro5000 better for AI Training or Inference?
While it can do both, it is the king of high-end inference:
Inference: Its 48 GB of VRAM (Blackwell) allows it to run large models (like Llama 3 70B on Ollama) on a single card with room to spare.
Training: It is excellent for fine-tuning, but for massive "pre-training," data center GPUs (A100/H100) are usually preferred due to faster interconnects (NVLink).
Inference: Its 48 GB of VRAM (Blackwell) allows it to run large models (like Llama 3 70B on Ollama) on a single card with room to spare.
Training: It is excellent for fine-tuning, but for massive "pre-training," data center GPUs (A100/H100) are usually preferred due to faster interconnects (NVLink).
What kind of workloads is hosted RTX PRO 5000 good for?
Hosted RTX PRO 5000 servers excel at:
• AI inference and development — running large language models (LLMs) and deep learning inference.
• Data science and analytics — large dataset processing and visualization workflows.
• Graphics, rendering, and simulation — CAD, ray tracing, and professional design apps.
• Video encoding/decoding — advanced NVENC/NVDEC acceleration for 4K+ media.
• AI inference and development — running large language models (LLMs) and deep learning inference.
• Data science and analytics — large dataset processing and visualization workflows.
• Graphics, rendering, and simulation — CAD, ray tracing, and professional design apps.
• Video encoding/decoding — advanced NVENC/NVDEC acceleration for 4K+ media.
Can I run GPU-accelerated Docker services?
Yes — most hosted RTX PRO 5000 environments allow containerized GPU workflows via NVIDIA Container Toolkit and orchestration stacks that integrate GPU scheduling. Ask about support for your desired stack.