- Nvidias RTX Pro 6000 offers 96 GB memory, enough for giant AI models and data sets
- With 24,064 cuda nuclei, this GPU dominates deep learning, rendering and scientific simulations
- For $ 8,200 this card is not for players; It is strictly built for serious professionals
In the evolving world of professional computing, Pny Technologies has launched what is perhaps the most powerful workstation GPU to date: NVIDIA RTX Pro 6000 Blackwell Workstation Edition.
Directdial reports that the card is priced at a staggering $ 8,200, making it firmly aimed at professionals working in AI development, simulation or advanced content creation rather than relaxed users.
In the heart of the GPU is Nvidia’s latest Blackwell architecture, which delivers 24,064 cuda kernels to accelerate demanding workloads such as deep learning, real-time reproduction and scientific computing.
Blackwell architecture delivers massive power and memory
The RTX Pro 6000 Blackwell supports a record-breaking 96 GB GDDR7 memory operating over a 512-bit bus with a bandwidth of up to 1.75 TB/s.
This is achieved using 3 GB modules configured as 16 × 2 × 3 GB, enabling the huge memory pool needed to handle massive AI models and ultra-high resolution assets. ECC memory is also on board to improve the stability of mission-critical tasks.
Despite its performance, the card maintains a relatively modest 300W TDP and is considered energy efficient for its class.
GPU supports a wide range of APIs, including volcano 1.3, Directx 12 and Opencl 3.0.
Early PCB images suggest the absence of a 12V-6X2 connector that may point to a back-mounted power input design that is more commonly found in servers or max-q setups.
However, a single 16-pole plug supports the current desktop version that uses a PCIe 5.0 X16 interface and fits into a standard double-slot, full length layout.
Although technically a workstation GPU, the RTX Pro 6000 Blackwell opens new options across a number of specialized fields. It can support up to four 8K screens and is designed to meet the requirements of professionals in VFX, CAD and AI training environments.