As Large Language Models continue to scale, the CPU host node in CPU-GPU AI accelerated systems has become an important performance component.
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Neural networks news
Intel NN News
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As Large Language Models continue to scale, the CPU host node in CPU-GPU AI accelerated systems has become an important performance component.
Part 3 of our CPU:GPU blog series now moves from metaphor to operations.
When it comes to choosing the right foundation for your AI infrastructure, Intel Xeon 6 processors stand out as the clear winner.
The landscape of AI agents is shifting from simple « ask-and-receive » interactions toward complex, multi-step reasoning.
Building on its existing support for Intel Gaudi 2/3 AI accelerators, Backend.AI now extends its Intel lineup to Arc graphics, starting with the Arc Pro B70. With a larger memory pool than competing desktop-grade options, the B70 shows its clearest advantage in agentic AI workloads, where sustained throughput and memory capacity matter more than peak single-user performance.
We explore the scalability and performance of agentic document summarization running on a Red Hat OpenShift cluster built on Lenovo ThinkSystem SR650 V4 servers powered by Intel Xeon 6 processors.
Confidential Computing is emerging as a foundational technology for Sovereign AI.
By enabling priority cores to exceed standard all-core turbo limits and approach higher turbo frequency levels, PCT accelerates essential operations, reduces processing delays, and improves overall system responsiveness.