
NVIDIA has [confirmed](https://nvidianews.nvidia.com/news/nvidia-blackwell-rtx-pro-workstations-servers-agentic-ai) the launch of the RTX Pro Blackwell series – a revolutionary generation of workstation and server GPUs. Designed to meet the needs of professional designers, data scientists, developers, and content creators, the lineup features a cutting-edge **RTX Pro 6000 Blackwell** GPU for workstations, plus other desktop and laptop variants and a data center version.

After early signs of the card [appeared in shipping logs](https://vast.ai/article/nvidia-rtx-pro-6000-x-rumors-blackwell-gpu-with-96gb-vram-spotted-in-shipping-log) a couple of months ago, we now have full details straight from the source – and this GPU is no minor upgrade. Built on NVIDIA's Blackwell architecture and featuring an incredible **96GB of GDDR7 memory** on a **512-bit bus**, the RTX Pro 6000 is set to redefine what's possible on a single professional workstation.

Here's what we now know about the RTX Pro 6000 Blackwell GPU.

### NVIDIA RTX Pro 6000: Specs That Mean Business

At the heart of the RTX Pro 6000 is the **GB202 die**, aligning with previous high-end Blackwell GPUs, like the RTX 5090\. But while the RTX 5090 is geared toward gamers and other enthusiasts, the RTX Pro 6000 goes all in for professional use.

We've certainly seen professional-grade GPUs with massive VRAM configurations before – there's the RTX 6000 Ada with 48GB of memory, for instance. However, the RTX Pro 6000 offers **double that amount**, with the faster speeds and efficiency of GDDR7 ECC memory. This makes it one of the most powerful workstation GPUs ever released.

And that's not all. On top of **24,064 CUDA cores** and **1,792 GB/s of memory bandwidth**, here's what else you get with this beast of a machine:

- **Streaming multiprocessors** with new neural shaders, delivering up to **1.5X** faster throughput for AI-augmented graphics workflows.
- **Fourth-gen RT cores** offering up to **2X** faster ray tracing performance for photorealism and complex 3D environments, with optimizations for **RTX Mega Geometry**.
- **Fifth-gen Tensor cores** capable of **4,000 AI TOPS**, supporting **FP4** precision and **DLSS 4 Multi Frame Generation** for cutting-edge AI graphics and accelerated model prototyping.
- **Ninth-gen NVENC** **& sixth-gen NVDEC**, improving encoding and decoding speed and quality for pro video work.
- **PCIe Gen 5 interface**, doubling bandwidth for faster CPU-GPU data transfer and smoother performance on heavy data workloads.
- **DisplayPort 2.1** support for ultra-high refresh rates – up to **4K at 480Hz** and **8K at 165Hz** – enabling multi-monitor setups with high color accuracy.
- **Multi-Instance GPU (MIG)**, allowing secure partitioning into up to **four GPU instances** for better workload isolation and resource allocation.

Not surprisingly, the RTX Pro 6000 does require a substantial **600 watts** of power, albeit only slightly more than the 575 watts of the RTX 5090\. But with that power comes the performance needed for agentic AI, immersive XR, large-scale simulation, and autonomous systems development – workloads where speed, memory, and throughput are non-negotiable.

(For more details and specs, check out the table at the bottom of this page\!)

So the only question that remains is: when can you get your hands on one?

### Availability and Rollout Timeline

The RTX Pro 6000 Workstation Edition is [expected](https://nvidianews.nvidia.com/news/nvidia-blackwell-rtx-pro-workstations-servers-agentic-ai) to **start shipping in May 2025** from manufacturers like BOXX, Dell, HP, Lambda, and Lenovo.

The server version of the RTX Pro 6000 is also on the way, with systems from Cisco, Dell, HP, Lenovo, and Supermicro expected to launch "soon," according to NVIDIA. Laptop variants, featuring **24GB of VRAM**, are expected to ship later in the year, from Dell, HP, Lenovo, and Razer.

NVIDIA hasn't announced official pricing yet, but estimates place the RTX Pro 6000 around $8500 – quite the investment. Fortunately, for those who need top-tier professional-grade GPU performance without the upfront cost, there are more accessible options.

### Access GPU Power Without the Overhead

Here at Vast.ai, we're excited to expand our GPU rental offerings as the **RTX Pro 6000 series** rolls out this year. In the meantime, you can tap into powerful GPUs like the **H100**, **H200**, and other high-performance options, all available on-demand through our platform, today.

With Vast, you can enjoy flexible, cost-effective access to serious compute power – with no long-term commitments and no hardware overhead – that's ready when you are.

### NVIDIA RTX Pro 6000: Key Specs

| Specification                    | RTX Pro 6000                                         |
| :------------------------------- | :--------------------------------------------------- |
| **Architecture**                 | Blackwell                                            |
| **GPU**                          | GB202                                                |
| **GPU Memory**                   | 96GB GDDR7 ECC                                       |
| **Memory Bandwidth**             | 1792 GB/s                                            |
| **Memory Interface**             | 512-bit                                              |
| **CUDA Cores**                   | 24,064                                               |
| **5th-Gen Tensor Cores**         | 752                                                  |
| **4th-Gen RT Cores**             | 188                                                  |
| **L2 Cache**                     | 128 MB                                               |
| **AI TOPS**                      | 4000                                                 |
| **Single-Precision Performance** | 125 TFLOPS                                           |
| **RT Core Performance**          | 380 TFLOPS                                           |
| **System Interface**             | PCIe 5.0 x16                                         |
| **Display Connectors**           | 4x DisplayPort 2.1b                                  |
| **Video Engines**                | 4x NVENC (9th Gen); 4x NVDEC (6th Gen)               |
| **MIG Support**                  | Up to 4x 24GB; or 2x 48GB; or 1x 96GB                |
| **Graphics APIs**                | DirectX 12, Shader Model 6.6, OpenGL 4.6, Vulkan 1.3 |
| **Compute APIs**                 | CUDA 12.8, OpenCL 3.0, DirectCompute                 |
| **Thermal Solution**             | Double-flow-through                                  |
| **Form Factor**                  | 5.4” H x 12” L, dual slot, extended height           |
| **Total Board Power**            | 600 watts                                            |


NVIDIA has confirmed the launch of the RTX Pro Blackwell series – a revolutionary generation of workstation and server GPUs. Designed to meet the needs of professional designers, data scientists, developers, and content creators, the lineup features a cutting-edge RTX Pro 6000 Blackwell GPU for workstations, plus other desktop and laptop variants and a data center version.

NVIDIA RTX Pro 6000 Blackwell: Redefining the Workstation GPU


Mukesh Ambani's Reliance Group is [making waves](https://www.bloomberg.com/news/articles/2025-01-23/billionaire-mukesh-ambani-plans-world-s-biggest-data-center-in-india-s-gujarat) with its plans to build what may become **the** **world's largest data center by capacity** in Jamnagar, India. The facility, expected to reach three gigawatts, would dwarf today's largest data centers, which are under one gigawatt each (or will just barely exceed one gigawatt once fully operational, as in the case of the Sines data center in Europe).

Reliance isn't alone in its bid to drastically expand AI infrastructure – companies around the world are racing to meet surging demand in this sector. Tech giants like Microsoft, Alphabet, and Amazon are investing billions of dollars into data centers to expand their AI capabilities.

The Stargate Project is another entity endeavoring to boost AI infrastructure in the United States. OpenAI, SoftBank, and Oracle all recently [pledged](https://techcrunch.com/2025/01/21/openai-teams-up-with-softbank-and-oracle-on-50b-data-center-project/) to invest $100 billion to $500 billion as part of the Stargate effort.

So what makes Reliance interesting? The company has some big ambitions...

### Reliance's AI Strategy

Ambani, the 67-year-old billionaire chairman and managing director of Reliance Group, hopes to offer AI inference to businesses and developers at significantly lower costs than competitors. In order to achieve this goal, Reliance is investing heavily in NVIDIA's AI semiconductors.

Undercutting prices isn't a new approach for Ambani; his aggressive pricing in other industries, like telecommunications, disrupted the market and forced competitors to adapt. It's not unreasonable to think that Reliance could do the same in the AI industry.

"By leveraging our expertise in infrastructure, networking, operations, software, and data and by collaborating with our global partners, our goal is to create the world's lowest AI inferencing cost, right here in India," Ambani [said](https://www.bloomberg.com/news/articles/2025-01-23/billionaire-mukesh-ambani-plans-world-s-biggest-data-center-in-india-s-gujarat) last year. "This will make AI applications in India more affordable than anywhere else, making AI accessible to all."

### Strengthening India's AI Infrastructure

One of Reliance's main objectives with this massive data center is to reduce India's reliance on overseas AI infrastructure. As AI adoption accelerates across the country, driven by a booming startup ecosystem and increasing enterprise demand, the need for localized AI compute power is greater than ever.

Currently, India's total data center capacity is under one gigawatt. If completed as planned, the Jamnagar facility alone could triple that amount by 2027\. Reliance also reportedly aims to power the new data center as much as possible with renewable energy – aligning with global sustainability trends and potentially positioning India as a more self-sufficient AI hub.

Beyond meeting domestic demand, this expansion raises questions about India's role in the global AI race. With governments and tech giants worldwide investing heavily in AI infrastructure, Reliance's project reflects India's potential to compete on the world stage as a provider of AI compute power.

### What's Next for AI Infrastructure?

Reliance's plan for the facility in Jamnagar is just one of many data center projects in the works today. According to McKinsey & Co, global data center capacity could [more than triple](https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/ai-power-expanding-data-center-capacity-to-meet-growing-demand) by 2030, reaching an estimated 219 gigawatts annually. Yet even with heavy investment, a significant shortfall will likely remain. **The U.S. alone is projected to face a 15-gigawatt gap by 2030**, requiring twice the data center capacity that's been built since 2000\.

If Reliance successfully builds its three-gigawatt facility, it could help address some of this global demand. However, ensuring that infrastructure keeps pace with AI's rapid advancement will remain a challenge worldwide.

In the meantime, access to high-performance compute remains a priority for developers, researchers, and businesses. While tech giants build massive facilities, **cloud GPU rental is an option that provides immediate, scalable access to AI compute** without the need for expensive hardware or infrastructure investments.

If you're looking for flexible and cost-effective AI compute, Vast.ai offers on-demand cloud GPU rental. We invite you to explore our platform and get the AI compute you need – and start scaling your workloads today\!


Reliance plans to build the world’s largest data center in India, aiming to lower AI costs and boost local infrastructure with NVIDIA chips and renewable energy.

Posts about: Data Center

NVIDIA RTX Pro 6000 Blackwell: Redefining the Workstation GPU

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