GPU Hardware & Chips

Deep dives into NVIDIA, AMD, and Intel accelerators—H100, H200, Blackwell, MI300X, Gaudi, and the silicon powering AI.

9 articles

The AI revolution runs on silicon. From training frontier models to deploying inference at scale, GPU selection is the single most impactful infrastructure decision enterprises make today.

This hub covers everything data center architects need to know about AI accelerators: NVIDIA's H100 and H200 GPUs, the next-generation Blackwell B200, AMD's MI300X challenging for HPC workloads, and Intel's Gaudi chips offering alternatives to the NVIDIA ecosystem.

What You'll Learn Here

  • GPU Specifications & Benchmarks — Real-world performance data, memory bandwidth, interconnect speeds, and power consumption across accelerator families
  • Architecture Deep Dives — Hopper vs. Blackwell vs. CDNA vs. Gaudi: understanding the architectural trade-offs that matter for your workloads
  • Memory Technologies — HBM3, HBM3e, and the path to HBM4: why memory bandwidth often matters more than raw FLOPs
  • Supply Chain & Availability — Lead times, allocation strategies, and procurement realities in a supply-constrained market
  • TCO Analysis — Beyond sticker price: understanding the true cost of GPU infrastructure including power, cooling, and utilization

Whether you're specifying your next GPU cluster or evaluating multi-vendor strategies, our technical analysis helps you cut through marketing noise and make informed infrastructure decisions.

All GPU Hardware & Chips Articles (9)

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