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Faster Pipes, Stalled Clusters: The Network is the Constraint
This white paper from Cornelis explores why today’s passive networks are becoming a constraint on AI infrastructure—and what needs to change to keep expensive compute working as clusters scale.
Fuzzball gives researchers more autonomy, administrators more control, and organizations more productivity with their performance-intensive workloads, including HPC and AI.  
From Micro-Kernels to Macro-Impact: How yasp.compile Sped Up IBM Granite 4.0 by up to 3x End-to-End Over torch.compile
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 …
FROM AI COMPUTING TO 800V DC WHY SST VALIDATION MUST COME FIRST
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 …
FROM HOTSPOTS TO HEADROOM: Phononic Thermal Fabric™ Unlocks Performance, Efficiency, and Asset Life in AI Data Centers
Thermal Control Kits™ for GPU HBMs:• Deliver precise, TEC-enabled hotspot cooling that avoids thermal throttling, extends useful device life and improves PUE up to 0.15• Software-enabled thermal contr …
FuriosaAI is a semiconductor company building a new kind of AI chip for data centers and enterprise applications. Furiosa integrated proteanTecs’ on-chip agents and analytics platform to help ensure e …
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