Hardware & Infrastructure

Nvidia’s Nemotron 3.5 Lightning NVFP4 is the first production 4-bit checkpoint trained with QAD, not post-quantized. Real Blackwell benchmarks, SageMaker deploy, and 2026 GPU cost math

Nvidia is guaranteeing up to $105B in debt for OpenAI’s Ohio data center campus. Here’s who actually eats the risk if AI credit turns

Google Cloud’s Ironwood TPU v7 is now generally available: 9,216-chip pods, 192GB HBM3e per chip, and Anthropic’s million-chip bet on a real Nvidia alternative

Nvidia’s $500 billion GPU financing is under fire as Michael Burry shorts the stock — the whole case rests on what a used H100 is really worth in 2026

Cerebras wafer scale inference keeps the latency crown in 2026: the CS-4 holds active weights in 44GB on-chip SRAM at ~21 PB/s, with zero HBM round-trips

Nvidia’s reported $3B Lancium stake signals GPUs now ship with power attached. What the deal means for your compute costs, GPU rental pricing, and AI budgets in 2026

Nvidia’s GB300 NVL72 pulls 120-140kW per rack under sustained training load — roughly 10x a standard colo cabinet. Real power, cooling, and cost-per-token numbers before you buy

AMD’s Taalas acquisition bakes LLM weights straight into silicon, skipping HBM entirely. Here’s why the memory-bandwidth bet could crack Nvidia’s inference moat

SpaceX will fly Nvidia GPUs in orbit, but the SpaceX orbital data center Nvidia deal skips the real constraint: radiator physics, not silicon, caps compute in vacuum

NVIDIA Alpamayo 2 Super is an open reasoning VLA model for robotaxis and Level 4 autonomy, shipping with commercial-use rights, weights, and auditable reasoning traces

Huawei’s Zhou Hong says Nvidia’s Rubin will hit the same HBM bandwidth wall Chinese chips already face. Here’s why memory, not FLOPs, caps 2026 inference

Nvidia Vera Rubin NVL144 power requirements hit 200-250kW per rack, but 2026 datacenter shells were built for 30-40kW. That retrofit gap, not demand, caps shipments

Nvidia Vera storage benchmarks show encryption, compression, checksums and erasure-code rebuilds moving off host CPUs to DPU accelerators — here’s what the offload deltas mean for rack economics

Bloom Energy AI datacenter power is now a capex line item, not a clean-energy story. Why fuel cells, not GPUs, decide which 2026 AI datacenters actually get built

NVIDIA Video Codec SDK 13.1 finally brings B-frames to hardware AV1 encoding — we tested the 10-20% bitrate savings, zero-copy CUDA-to-NVENC, and NVDEC seek

Groq’s LPU bet versus Nvidia’s Rubin, compared on real inference cost: latency, cost per million tokens, and what procurement teams should weigh before signing a 2026 contract

Cerebras vs Groq inference speed in 2026: how the CS-4 and Groq LPU compare on real tokens per second, cost per million, and which one actually wins your production workload

AMD unveils the MI455X accelerator, Helios rack with 31TB HBM4, and 2nm EPYC Venice at Advancing AI 2026 — a rack-scale challenge to Nvidia’s data-center lead

NVIDIA NIM simplifies AI inference deployment, turning complex models into accessible microservices for enterprises. Streamline your AI.

NVIDIA Blackwell platform powers the AI supercomputer era. Learn about its GB200 Superchip, Grace CPU, and key innovations.

Deploy NVIDIA Blackwell Ultra GB300 in 2026: rack architecture, networking, cooling, NVFP4 inference economics, training, migration, procurement.

Zyphra released ZAYA1-8B on May 6 — an MoE with 760M active params trained on 1024 AMD MI300X GPUs that approaches frontier on math and reasoning.

A 13,000-word enterprise playbook for NVIDIA Blackwell B200 deployment: architecture, GB200 NVL72 racks, pricing, TCO, migration, security, and procurement.