AI-written GPU kernels have been winning on isolated operations for over a year, but those wins rarely survive the trip to a real model — Google’s AlphaEvolve moved Gemini training by roughly 1%. Benc
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Benchmarking AI inference on Azure, yasp’s agentic compiler delivered a 2.91× speedup for the MiniGPT Block on AMD’s Radeon PRO V710 GPU over torch.compile. This technical deep-dive breaks down exactl
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As AI clusters scale to tens of thousands of GPUs, bandwidth alone is no longer enough. Infrastructure teams need deep visibility into the health and performance of the fabric itself. Discover how Int
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The next bottleneck in AI infrastructure isn't bandwidth, it's knowing why a link failed at 3am. ZeroFlap (ZF) Optics and PILOT give operators a way to actually see the optical layer instead of guessi
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AI is transforming power systems from supporting infrastructure into a critical foundation that directly impacts computing deployment efficiency. SSTs, connecting medium-voltage grids, 800V DC systems
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If your team is architecting an AI accelerator, automotive ADAS, or hyperscaler SoC — the bus-to-NoC migration is no longer a question of if. It is a question of how and when.
This one is a guide for SoC architects who are dealing with the coherency problem at scale. Not a light read — but if you're building compute, AI, or automotive SoCs today, these are the decisions tha
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CHI is how coherent CPU clusters participate in a shared memory system. This paper covers what it actually does — from the channel model to the direct-transfer features that define modern high-perform
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