Intel, NVIDIA Launch New Workstations for AI Workloads

Intel Xeon W CPUs, Intel Xeon Scalable CPUs, and NVIDIA RTX 6000 GPUs are at the core of the new AI Workload-targeted Machines

Intel Xeon W CPUs, Intel Xeon Scalable CPUs, and NVIDIA RTX 6000 GPUs are at the core of the new AI Workload-targeted Machines

Intel and NVIDIA release new workstations for AI workload. Image courtesy of NVIDIA.


Betting on the increase use of workstations for AI-related workloads, Intel and NVIDIA are releasing new workstations powered by Intel Xeon W CPUs, Intel Scalable CPUs, and NVIDIA RTX 6000 GPUs.

Sandeep Gupte, VP Product Marketing, NVIDIA Professional Solutions Group, said, “These new workstations bring together the highest levels of AI computing, rendering and simulation horsepower to tackle demanding workloads across data science, manufacturing, broadcast, media and entertainment, healthcare and more.”

Bob Pette, VP of professional visualization at NVIDIA, said, “Professionals require advanced power and performance to run the most intensive workflows, like using AI, rendering in real time or running multiple applications simultaneously.”

Intel Xeon W CPUs are designed for visual effects creation, 3D rendering, 3D CAD, and AI development.

The new workstations are powered by Intel Xeon W and Intel Scalable processors, augmented with NVIDIA RTX GPUs Hardware partners BOXX and HP are beginning to take preorders, with other system makers following soon. Built for on-demand workloads, Intel Xeon Scalable processors are known for their accelerators and advanced security features. 

Based on the NVIDIA Ada Lovelace GPU architecture, NVIDIA RTX 6000 features 142 RT Cores, 568 Tensor Cores and 18,176 CUDA cores. With 48GB of graphics memory, it offers generous room for raytracing, AI, and graphics workloads. According to NVIDIA, the Ada Lovelace architecture “delivers a dramatically higher baseline of GPU performance and marks the tipping point for ray tracing and neural graphics.”

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Kenneth Wong's avatar
Kenneth Wong

Kenneth Wong is Digital Engineering’s resident blogger and senior editor. Email him at kennethwong@digitaleng.news or share your thoughts on this article at digitaleng.news/facebook.

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