

RTX Pro 6000 Hosting, Rent Pro 6000 Blackwell GPU VPS

RTX PRO 6000 Blackwell comes with 96GB DDR7 ECC Memory, 4th Gen RT/5th Gen Tensor Core GPU, PCIe Gen 5 support, DisplayPort 2.1, Universal MIG. It delivers up to 3X the performance of the previous generation and support for FP4 precision for faster AI model processing times with reduced memory usage, enabling local fine-tuning of LLMs and generative AI. With 96 GB of GPU memory and 1.8 TB ps bandwidth, it can tackle massive 3D and AI projects, fine-tune AI models locally, explore large-scale VR environments, and drive larger multi-app workflows.

Dedicated Server with Nvidia RTX Pro 6000 GPU Rental

RTX Pro 6000 VPS GPU Hosting Pricing

The GPU dedicated server with RTX Pro 6000 is equipped with Dual 24-Core Platinum 8160 CPU and 256GB RAM, delivering high performance for your AI and Deep Learning projects.

Pre-sale Product

Enterprise GPU VPS- RTX Pro 6000

90GB RAM
32 CPU Cores
400GB SSD
1000Mbps Unmetered Bandwidth

Once per 2 Weeks Backup
OS: Windows / Linux
Dedicated GPU: Nvidia RTX Pro 6000
CUDA Cores: 24,064
Tensor Cores: 852
GPU Memory: 96GB GDDR7
FP32 Performance: 126 TFLOPS

1mo3mo12mo24mo

$ 479.00/mo

Pro 6000 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 6000 GPU VPS servers.

Pro 6000 GPU Benchmark with Ollama 0.13.5

Models	gpt-oss	gpt-oss	deepseek-r1	deepseek-r1	gemma3	llama3.3	qwen3	qwen2.5
Parameters	20b	120b	32b	70b	27b	70b	32b	72b
Size (GB)	14	65	20	43	17	43	20	47
GPU UTL	65%	60%	87%	94%	83%	94%	90%	93%
GPU Memory	33%	77%	98%	41%	18%	41%	20%	45%
Eval Rate (tokens/s)	185.09	134.28	64.31	32.04	61.49	31.96	55.96	29.15

Note: The models are all from the Ollama library. For more testing data, please visit: https://www.databasemart.com/blog/ollama-gpu-benchmark-pro6000

Pro 6000 GPU Benchmark with vLLM

Models	Llama-3.1-8B	gemma-3-12b-it	gpt-oss-20b	gpt-oss-120b	DeepSeek-R1-Distill-Llama-8B	DeepSeek-R1-Distill-Qwen-14B	DeepSeek-R1-Distill-Qwen-32B	Qwen3-8B	Qwen3-14B	Qwen3-VL-32B-Instruct
Quantization	BF16	BF16	MXFP4	MXFP4	BF16	BF16	BF16	BF16	BF16	BF16
Size（GB）	15GB	23GB	13GB	61GB	15GB	28GB	62GB	15GB	28GB	63GB
Request Numbers	50	50	50	50	50	50	50	50	50	50
Benchmark Duration(s)	10.93	19.23	7.99	19.68	10.89	18.66	36.19	11.29	17.20	37.67
Request (req/s)	4.57	2.60	6.25	2.54	4.59	2.68	1.38	4.43	2.91	1.33
Input (tokens/s)	452.7	257.4	625.49	254.11	454.63	265.33	136.78	443.01	290.62	132.95
Output (tokens/s)	2743.63	1560.03	3752.90	1524.66	2755.33	1608.06	829.02	2658.02	1743.76	796.45
Total Throughput (tokens/s)	3196.33	1817.43	4378.39	1778.77	3209.96	1873.39	965.80	3101.03	2034.38	929.20

Note: The models are all from the Hugging Face library. For more testing data, please visit: https://www.databasemart.com/blog/vllm-gpu-benchmark-pro6000

Specifications of Nvidia RTX Pro 6000

The RTX Pro 6000 on our dedicated GPU hosting server is equipped with the latest generation RT Cores, Tensor Cores, and CUDA® cores for unprecedented rendering, AI, graphics, and compute performance.

Basic Specifications

GPU Microarchitecture

Blackwell 2.0

Memory

96 GB GDDR7 with error-correcting code (ECC)

Tensor Cores

752, 5th Generation

CUDA Cores

24064

FP16 (half)

126.0 TFLOPS (1:1)

FP32 (float)

126.0 TFLOPS

FP64 (double)

1.968 TFLOPS (1:64)

Compute Capability

12.0

Technology Support

AI TOPS

4000 AI TOPS

RT Core performance

380 TFLOPS

Display connectors

4x DisplayPort 2.1b

Video Engines

4x NVENC (9th Gen), 4x NVDEC (6th Gen)

Graphics APIs

DirectX 12, Shader Model 6.6, OpenGL 4.6, Vulkan 1.3

Compute APIs

CUDA 12.8, OpenCL 3.0, DirectCompute

Other Specifications

TMUs

752

ROPs

192

TDP

600W

Memory Bus Width

512-bit

Memory Clock Speed

1750 MHz

Memory Bandwidth

1.79 TB/s

System Interface

PCIe 5.0 x16

GPU Clock speed

1590 MHz

Features of NVIDIA RTX PRO 6000 Blackwell

Hosted GPU servers contain RTX PRO 6000 graphics cards deliver the cutting-edge performance and features.

5th Gen Tensor Cores

Fifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate agentic and generative AI applications, and drive enhanced content creation and graphics.

4th Gen RT Cores

Fourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M&E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.

CUDA Cores

NVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.

96GB of GPU Memory

New and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.

9th-Gen NVENC

Ninth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding, and improve HEVC and AV1 encoding quality.

6th-Gen NVDEC

Sixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.

What is Nvidia RTX Pro 6000 Server Used for?

Renting a dedicated server with RTX Pro 6000 GPU and quickly commit to projects in these scenarios.

AI Development

Accelerate AI development and inference workloads, and build agentic AI applications.

Drive AI development—from training models and deploying local inference for real-time applications to building autonomous, agentic AI systems. With 96GB of memory on the RTX PRO 6000, turn your desktop into an AI powerhouse for fine-tuning LLMs, using generative AI, and prototyping adaptive AI agents.

Server RTX Pro 6000 for Rendering Large Scenes

AI-Driven Rendering and Graphics

The RTX PRO 6000 supercharges creative workflows with next-gen RTX capabilities, transforming AI-driven rendering and graphics. RTX Neural Shaders leverage AI to automate complex lighting and texture generation, while DLSS 4 enhances performance and visual fidelity through AI-powered upscaling, enabling real-time photorealistic rendering. These advancements accelerate 3D modeling, animation, and virtual production, empowering industries like film, gaming, and architectural visualization to achieve unprecedented detail and efficiency. By merging AI with cutting-edge ray tracing, the RTX PRO 6000 slashes render times, accelerates production pipelines, and delivers stunning, high-fidelity results.

Video Content and Streaming

The RTX PRO 6000 boosts performance for live media and video pipelines. With support for 4:2:2 chroma subsampling and advanced encoding/decoding engines, it ensures pristine color accuracy and accelerated processing of high-resolution 4K/8K content. With enhanced AV1 and H.265 codec support, it’s ideal for livestreaming, real-time editing, and live media workflows. By slashing latency and enabling higher throughput, it empowers creators, studios, and streaming platforms to deliver seamless, high-quality content with improved production timelines.

Alternatives to GPU server with RTX Pro 6000

Get the ultimate AI experience with RTX series GPU dedicated server.

RTX A6000 Hosting

High Performance for video editing & rendering,Deep Learning and Live streaming.

GeForce RTX 4090 Hosting

Achieve an excellent balance between function, performance, and reliability. Assist designers, engineers, and artists to realize their visions.

RTX 5090 Hosting

The NVIDIA GeForce RTX 5090 is the ultimate powerhouse for gaming, AI, rendering, and simulation tasks.

Compare popular GPU cards by performance, memory, and use cases to help you choose the right GPU for your workload.

RTX PRO 6000 vs A100: Full Performance and Benchmark Review

Comparing RTX PRO 6000 vs A100, this NVIDIA RTX PRO 6000 vs A100 analysis covers performance, AI training & inference, benchmarks, and pricing for professional workloads.

learn more >

RTX PRO 6000 vs H100 – Full Specs, Price & Performance

Compare RTX PRO 6000 vs H100 in specs, price, and performance to find the best GPU for AI training and mixed workloads for workstations or data centers.

learn more >

FAQ of NVD RTX Pro 6000 GPU Hosting

Answers to more questions about the RTX Pro 6000 GPU server hosting service can be found here

What is the NVIDIA RTX Pro 6000?



It’s a high-end professional GPU built on the Ada Lovelace architecture, ideal for AI, 3D rendering, and simulation workloads.

Can the RTX Pro 6000 be used for AI training and inference?



Yes, it performs well for small to medium AI training tasks and excels in inference and graphics workloads.

Which software and frameworks are supported?



It supports CUDA, cuDNN, TensorRT, PyTorch, TensorFlow, and most AI/ML and rendering tools.

Who should choose RTX Pro 6000 hosting?



Ideal for 3D artists, AI developers, and companies needing powerful GPU compute and visualization in the cloud.

Does the RTX Pro 6000 support NVLink?



No, it does not support NVLink.

Do you provide a RTX Pro 6000 trial server?



You can request a test server if you would like to test if the chosen cofigurations of the dedicated server can support running your software. To test the internet speed to resources hosted on our servers, you can ping our data center IP at https://www.gpu-mart.com/data-center without having to wait for the test server.

Is RTX Pro 6000 better than RTX 5090?



If you’re doing professional workloads — large-scale 3D rendering, simulation, working with very large datasets or models (e.g., data science / AI fine-tuning) — then the RTX PRO 6000 has major advantages in memory size (96 GB vs 32 GB) and is designed for that kind of usage. If your primary goal is gaming or consumer-grade graphics + content creation, the RTX 5090 is better value and better suited.