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Azure HBv5: Memory-First HPC Takes the Cloud Stage

Azure HBv5: Memory-First HPC Takes the Cloud Stage

Bandwidth over Cores – The New Performance Rule * HBM3 per node: 400–450 GB (≈9 GB per core) * Sustained memory bandwidth: 6.7–6.9 TB/s (≈7 TB/s peak) * CPU: 352–368 Zen 4 cores @ 4.0 GHz, SMT disabled * Network: dual-rail 800 Gb/s InfiniBand The numbers speak

AWS, OpenAI, NVIDIA Secure $38B GPU Deployment Deal

AWS, OpenAI, NVIDIA Secure $38B GPU Deployment Deal

TL;DR * AWS and OpenAI secure $38 billion agreement, deploying hundreds of thousands of NVIDIA GPUs for cloud‑based AI training. * Multi‑cloud hybrid infrastructures rise, enabling workload portability and reducing single‑provider failure risk across enterprise data centers. * U.S. data centers consume 4 % of national electricity, projections show

Data centers power HPC with gas turbines, solar, and upgraded hardware for AI scaling.

Data centers power HPC with gas turbines, solar, and upgraded hardware for AI scaling.

TL;DR * Data centers adopt gas turbines, renewables, and 600 MW solar to fuel HPC workloads, backed by $9B renewable contracts. * Mini‑DTX motherboards and full‑copper radiators upgrade HPC hardware, boosting compute performance and cooling. * Remote KVM and gas‑turbine‑powered hyper‑scalers enable scalable AI data center operations.

Qualcomm’s AI 100 Ultra Outperforms Nvidia GPUs In Power Efficiency

Qualcomm’s AI 100 Ultra Outperforms Nvidia GPUs In Power Efficiency

TL;DR * Qualcomm’s AI 100 Ultra chip outperforms Nvidia A50 GPUs in inference per watt * Qualcomm equips datacenter AI with PCI‑Express cards interlinking four AI 100 units * Qualcomm increases AI 100 chip SRAM from 126 MB to 144 MB per chip * Qualcomm’s datacenter AI ambitions remain limited

HPE Completes $1.3B Cray Deal, Launches DAOS, Nvidia‑Nokia GPU AI, and Exascale Liquid Cooling

HPE Completes $1.3B Cray Deal, Launches DAOS, Nvidia‑Nokia GPU AI, and Exascale Liquid Cooling

TL;DR * HPE finalizes $1.3 billion Cray acquisition, positioning itself to deliver world‑class supercomputers * GX5000 exascale system launches, succeeding Cray Shasta, shipping ahead of SC2018 * HPE introduces Distributed Asynchronous Object Storage (DAOS) cluster, pioneering Intel Aurora architecture * Frontier and Fugaku lead the exascale era, setting new physics and

HPE Deploys Exascale Cray Systems; NVIDIA, AMD, Qualcomm Power Global AI; Space AI Data Centers and Energy‑Efficient HPC Rise

HPE Deploys Exascale Cray Systems; NVIDIA, AMD, Qualcomm Power Global AI; Space AI Data Centers and Energy‑Efficient HPC Rise

TL;DR * HPE expands HPC with SGI and Cray deals, deploying Cray EX4000 and GX5000 exascale systems at Oak Ridge and Livermore labs. * Frontier supercomputer achieves 1.2 exaflops; Fugaku reaches 442 petaflops, marking continued leadership in exascale performance worldwide. * NVIDIA H100, AMD RDNA4, and Qualcomm AI accelerators power cloud‑

Exascale Engine, AI Satellite, Powerhouse Turbines, Intel’s AI and HPC Boosts

Exascale Engine, AI Satellite, Powerhouse Turbines, Intel’s AI and HPC Boosts

TL;DR * NextSilicon unveils Maverick‑2 dataflow engine, targeting exascale superchip performance * ProEnergy repurposes Boeing 747 engines into 48‑MW PE6000 turbines to supply data center power * Intel finalizes Nova Lake specifications with upgraded 50‑TOPS NPU, enhancing AI acceleration * Intel’s Arrow Lake refresh equips Core Ultra 7270K+ with