Liquid Cooling vs Air Cooling for AI Data Centers: 2025 Analysis
Air cooling fails at 41.3kW while liquid cooling handles 200kW+ per rack. Compare $2-3M/MW retrofit costs against 40% energy savings for AI infrastructure.
Blog
Insights on GPU infrastructure, AI, and data centers.
GPU Cluster Benchmarking: MLPerf Testing and Performance Validation Guide
NVIDIA's DGX SuperPOD customer discovered their $15 million cluster delivered only 62% of promised performance, triggering a six-month dispute over contract terms and benchmarking methodologies. The
Power Purchase Agreements (PPAs) for AI Data Centers: Renewable Energy Strategies
Microsoft's landmark 10.5GW renewable energy PPAs, Google's 24/7 carbon-free energy commitment by 2030, and Amazon's position as world's largest corporate renewable energy purchaser with 20GW
Optical Networking for AI: 400ZR and Coherent Optics for GPU Interconnect
Google's 8,960-chip supercomputer uses optical switches delivering 4Pb/s at 10ns switching. Deploy 400ZR and silicon photonics for 7x power efficiency.
Deploying GPUs on the factory floor: manufacturing's AI infrastructure revolution
Jensen Huang captured the new reality at Samsung's AI factory announcement: "In the era of AI, every manufacturer needs two factories: one for making things, and one for creating the intelligence
GPU Deployment Best Practices: Managing 10,000+ GPUs at Scale
Managing 10,000 GPUs transforms infrastructure operations from technical discipline into industrial manufacturing, where single percentage improvements save millions and five-minute outages cost more
MLOps Infrastructure: CI/CD Pipelines for Model Training and Deployment
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
Securing AI Infrastructure: Zero-Trust Architecture for GPU Deployments
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
Claude Code CLI: The Definitive Technical Reference
Complete Claude Code CLI guide: installation, configuration, subagents, MCP integrations, hooks, skills, remote execution, IDE integration, and enterprise deployment patterns.
GPU Performance Tuning: Maximizing Throughput for LLM Training and Inference
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
NVIDIA Vera Rubin Platform: 8 Exaflops Performance and Infrastructure Requirements
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
CoWoS and Advanced Packaging: How Chip Architecture Shapes Data Center Design
Advanced packaging has evolved from semiconductor manufacturing concern to primary driver of data center design.