Insights on GPU infrastructure, AI, and data centers.
ByteDance's recommendation engine spans 100,000 GPUs across 12 data centers, yet achieves 94% storage utilization through NVMe over Fabric technology that pools 85 petabytes of flash storage into a
A single NVIDIA L4 GPU processes approximately 2,000 text tokens per second through a 7-billion parameter embedding model. At that rate, generating embeddings for a billion-item collection requires
Google TPU v7, Microsoft Maia 200, Amazon Trainium 3, and Meta MTIA represent a $604B market shift. Custom ASICs grow at 44.6% CAGR while NVIDIA defends with Vera Rubin.
OpenAI orchestrates 25,000 GPUs on Kubernetes with 97% utilization. Master GPU scheduling, topology awareness, and scaling beyond 5,000 nodes.
€20M GDPR fine for AI training data crossing borders. Startup lost $50M deal over SOC 2 failure. Complete compliance implementation for GPU infrastructure.
BIS shifted H200 exports to China from denial to case-by-case review while Congress advanced the AI OVERWATCH Act to ban Blackwell sales outright. The resulting policy collision reshapes AI infrastruc...
JPMorgan Chase's trading floor processes 3 billion market events daily through AI models that must complete inference in under 250 microseconds while simultaneously maintaining audit trails for every
Verizon's deployment of NVIDIA GPUs at 1,000 edge locations, AT&T's $8 billion edge computing investment, and AWS Wavelength bringing cloud to 5G networks demonstrate the convergence of ultra-low
Eight companies now compete to build data centers in orbit. From SpaceX's 1M-satellite filing to Google's TPU clusters and Starcloud's 88K constellation, we break down the players, economics, and time...
Detailed analysis of specialized GPU cloud providers beyond hyperscalers for cost-effective AI infrastructure.
Rack power densities have jumped from 8.2kW average in 2020 to projections of 500-1000kW for AI Factory deployments.¹ GPUs like NVIDIA's Blackwell B100 and B200 cross the 1,000-watt threshold per
Five hyperscalers will spend $660-690B on AI infrastructure in 2026. Microsoft alone sits on $80B in unfulfilled Azure orders because it cannot find enough electricity to power its GPUs.
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