Insights on GPU infrastructure, AI, and data centers.
When hackers exfiltrated 38TB of training data and proprietary models worth $120 million from a Fortune 500 financial institution's GPU cluster, the breach exposed a fundamental truth: traditional
Netflix pushes 300 model updates daily across their recommendation infrastructure, each deployment automatically validated, tested, and monitored without human intervention. When a single bad model
Complete Claude Code CLI guide: installation, configuration, subagents, MCP integrations, hooks, skills, remote execution, IDE integration, and enterprise deployment patterns.
A perfectly configured 8-GPU node achieves 98% theoretical FLOPS while a poorly tuned identical system struggles at 43%, wasting $380,000 annually in underutilized hardware.¹ MLPerf benchmarks reveal
Eight exaflops of computational power sounds abstract until you realize it equals the combined performance of every supercomputer on Earth's TOP500 list, compressed into infrastructure that fits in a
Advanced packaging has evolved from semiconductor manufacturing concern to primary driver of data center design.
The handshake between Jensen Huang and Sam Altman represents more than corporate diplomacy. Their companies announced a letter of intent to build **10 gigawatts** of AI infrastructure—enough
CoreWeave's H100 GPUs from 2022 contract expirations immediately rebooked at 95% of original pricing.¹ The data point reveals something counterintuitive: AI accelerators retain substantial value even
Virginia's Senate moves to kill $1.6B data center tax exemption by Jan 2027 while the House fights to keep it. The outcome reshapes Data Center Alley.
US data center capacity under construction fell to 5.99 GW from 6.35 GW. Power, moratoriums, and labor shortages shifted the bottleneck to execution.
Meta's $100B AMD deal deploys 6GW of custom MI450 GPUs, breaking NVIDIA's hyperscaler exclusivity and reshaping the AI chip market permanently.
Seven hyperscalers sign Trump's Ratepayer Protection Pledge March 4, committing to build, bring, or buy power for AI data centers across 56 GW.
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