HPC News Bytes highlights major chip reveals at CES and neuromorphic breakthrough

The latest HPC News Bytes podcast covers new high performance and Artificial Intelligence chip announcements from CES 2026, updates on leading foundry and processor roadmaps, and a neuromorphic computing result from Sandia National Laboratories.

The latest installment of HPC News Bytes, dated January 12, 2026, delivers a rapid audio rundown of recent developments at the intersection of high performance computing and Artificial Intelligence. The episode, which runs for 11:10, focuses heavily on semiconductor and systems news tied to CES 2026 in Las Vegas, while also touching on foundry expansion and emerging research in neuromorphic computing. The podcast is produced under the Inside HPC and Artificial Intelligence News umbrella and is accessible through multiple distribution platforms.

A central portion of the episode is dedicated to “big chip news” coming out of CES 2026. The hosts highlight NVIDIA Vera Rubin as a key topic, emphasizing its in-house co-design approach, and they note AMD Helios as the upcoming MI400 series along with hints at a future MI500 line. The discussion frames these platforms in the broader context of high performance and Artificial Intelligence chips and systems, underscoring vendor competition and the push for higher performance architectures. The news rundown also references positive signals around Intel Panther Lake and the Intel 18A process, with attention on the 18A fab and what it may mean for future processor generations.

Beyond product announcements, the episode points to manufacturing and research milestones shaping the ecosystem. The hosts call out TSMC’s burgeoning GigaFab in Arizona, with its expansion positioned as strategically important for domestic semiconductor capacity. On the research side, they highlight a report from Sandia National Laboratories describing “shocking” neuromorphic partial differential equation math, flagging it as a notable step in neuromorphic computing and its potential role in future high performance and Artificial Intelligence workloads. The podcast is available via the @HPCpodcast page, the OrionX.net blog, iTunes, Google, Spotify, and an RSS feed, positioning it as a recurring source of concise updates across government, manufacturing, national labs, and the broader HPC and Artificial Intelligence hardware and software community.

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