Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.
May 2026 Special Focus: Artificial Intelligence in Design and Simulation
In this Special Focus Issue, learn about the latest developments in the integration of artificial intelligence into engineering workflows.
April 2026 Special Focus Issue: Generative Design
In this Special Focus Issue, Digital Engineering takes a look at how generative design solutions can be used across different types of design problems and with a variety of manufacturing approaches to accelerate design space exploration, and…
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."
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and…
Cut Retrieval-Augmented Generation (RAG) Hallucinations by 50%
Most teams hit the same wall with enterprise AI: LLMs that hallucinate, pipelines that don’t scale, and infrastructure that’s harder to design than the models themselves.
Kenneth Wong is Digital Engineering's resident blogger and senior editor. Email him at [email protected] or share your thoughts or suggestions at digitaleng.news/facebook.
Follow DE
Join over 90,000 engineering professionals who get fresh engineering news as soon as it is published.
About Us · Contact Us · Editorial Team · Advertising · Privacy Policy · Subscriber Services · © 2026 Digital Engineering 24/7 · Peerless Media