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Scale AI Joins DOE’s Genesis Mission as Scientific AI Shifts Toward Data Infrastructure

AI infrastructure and software company Scale AI has signed an MOU with the Department of Energy to support the Genesis Mission – the collaborative AI for science initiative bringing together…

Sandia Lab Gives Approval to Spectra Supercomputer

The Spectra supercomputer built by Penguin Solutions using Maverick-2 chips from NextSilicon received fully system acceptance by Sandia National Lab, NextSilicon announced today. The news marks a milestone for the…


HPC Spending Cooled in ‘25, Hyperion Says

After a blowout year in 2024, HPC spending slowed a bit in 2025, posting a more modest–but still very impressive–gain of 16.9% over the previous year, led by strong growth…

Slurm vs. Kubernetes in the Age of AI

Which scheduler should you use for AI workloads, Slurm or Kubernetes? It’s a debate that generates passionate arguments on both sides. Both schedulers have their strong suits, and there’s no…

Cerebras IPO Signals Growing Pressure on the GPU Scaling Model

For most of the AI boom, the general assumption regarding AI hardware was to keep scaling GPU clusters and the rest...

From DevOps to SimOps, And the World of High-Performance Computing, AI, Cloud, and Engineering Simulation Is Within Reach

From Automation Anxiety to Career Advantage Artificial intelligence is reshaping the technical workforce at remarkable speed. For fresh graduates and early-career...

2026 AIwire People to Watch Announced

2026 AIwire People to Watch Announced

Find out which six AI luminaries are being recognized this year for driving the next wave of AI innovation within their particular fields in AIwire’s annual People to Watch feature.


Red Hat Learns New AI Tricks

IBM used its Red Hat Summit conference that’s taking place this week in Atlanta, Georgia as the location for the launch of Red Hat AI...

Featured Whitepaper

2026 State of AI Infrastructure Report

The 2026 State of AI Infrastructure Report, based on a survey of 600 U.S. IT and business leaders, reveals that infrastructure—more than AI models or accelerators—is now the critical determinant of enterprise AI success. As organizations transition from experimentation to production, four key pressures have emerged: rising infrastructure complexity, strained...

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