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HPC

AI‑Driven GPUs Poised to 100× Data Center Compute Power by 2025

AI‑Driven GPUs Poised to 100× Data Center Compute Power by 2025

Industry‑wide GPU spending is projected at $500 B for 2025‑26, feeding a $3‑4 T AI‑infrastructure budget through 2030. Major hyperscalers have lengthened depreciation from three to five years, with some vendors extending to six years. Extending asset life by 2‑3× translates into an estimated $7

Saudi 500MW GPU Center, Liquid Cooling, Cloud Scaling Drive AI Boom

Saudi 500MW GPU Center, Liquid Cooling, Cloud Scaling Drive AI Boom

TL;DR * Liquid cooling cuts AI data center power use by 80%, enabling higher GPU density. * Saudi-backed AI data center to deliver 500 MW of Nvidia GPU power, fueling AI workloads. * GPU cloud computing scales through virtualization, hybrid deployments, and enhanced elasticity. Liquid‑Cooling Drives 80 % Power Savings and Ultra‑

Data Centers' Energy Footprint Highlights Climate & Health Costs, Spurs Sustainable Growth & Exascale HPC

Data Centers' Energy Footprint Highlights Climate & Health Costs, Spurs Sustainable Growth & Exascale HPC

TL;DR * Data Center Energy Use Drives Climate Impact and Public Health Costs. * Advanced Cooling and Expansion Drive Sustainable Data Center Growth. * Exascale Supercomputers and High-Performance CPUs Push HPC Frontiers. Data‑Center Energy Surge: Climate and Health Stakes Rising Energy and Water Use * Electricity consumption climbed from 12.5 TWh

GPU Cloud, HPC, and Edge Deployments Power AI, Scientific Workloads, Boosting Scalability, Efficiency, and Security

GPU Cloud, HPC, and Edge Deployments Power AI, Scientific Workloads, Boosting Scalability, Efficiency, and Security

TL;DR * GPU Cloud Services Provide Elastic Scalable Compute for AI Training and Scientific Workloads * High‑Performance Computing Drives Scientific Simulations and AI Training * Hybrid Cloud Deployments Enable Edge HPC for Low‑Latency Scientific Applications * Automated Data Center Management Improves Capacity, Reliability, and Energy Efficiency * Physical and Cyber Protections Maintain

Microsoft Azure Launches 150K GPUs, Liquid Cooling Cuts Power, ASICs Drive Exascale AI

Microsoft Azure Launches 150K GPUs, Liquid Cooling Cuts Power, ASICs Drive Exascale AI

TL;DR * Microsoft Azure AI Superfactory Deploys 150,000+ NVLink GPUs Across 1,100+ Racks * Azure Energy‑Efficient Data Centers Use Liquid Cooling to Cut Power by 25% * High‑Performance Compute Clusters Shift to ASIC‑Based AI Accelerators for Exascale Workloads * Immersion Cooling and Renewable‑Energy Integration Reduce Carbon Footprint

Floating Data Centers and AI Power Challenges: Energy, GPU Deals and Quantum Secure

Floating Data Centers and AI Power Challenges: Energy, GPU Deals and Quantum Secure

TL;DR * Floating Data Centers Above Clouds Aim to Cut Energy Use * US Power Shortage Threatens 10% of Data Center Demand by 2030 * 30% Power Demand Growth Forecasts for Data Centers * OpenAI's $1.4 Trillion Compute Commitment * Quantum Security Moves Toward Post-Quantum Infrastructure Floating Data Centers: A Viable