
AMD Instinct MI455X
AMD's flagship CDNA 4 AI GPU with 432 GB HBM4, 40 PFLOPS FP4, and 2nm chiplet design targeting H2 2026.
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AMD's flagship CDNA 4 AI GPU with 432 GB HBM4, 40 PFLOPS FP4, and 2nm chiplet design targeting H2 2026.

AMD expands its Ryzen AI Embedded P100 family with six new 8-to-12-core processors delivering 80 system TOPS, targeting industrial automation, robotics, and medical imaging.

Meta and AMD signed a 6-gigawatt, multi-year GPU pact worth up to $100B - announced days after a separate Nvidia expansion, signaling Meta's deliberate strategy to break single-vendor dependence in AI compute.

Ayar Labs closes a $500M Series E backed by Nvidia, AMD, and Sequoia to mass-produce co-packaged optical interconnects that replace copper in AI data centers.

AMD launches the first desktop processors with Copilot+ qualified NPUs, putting 50 TOPS of on-device AI into AM5 desktops starting Q2 2026.

Awesome Agents launches a dedicated Hardware section with detailed spec pages for 21 GPUs, TPUs, and AI accelerators - from datacenter flagships to home lab favorites.

Complete specs and analysis of the AMD Instinct MI440X - a CDNA 5 enterprise GPU with 432GB HBM4, 19.6 TB/s bandwidth, and TSMC 2nm compute chiplets.

AMD Instinct MI300X specs, benchmarks, and real-world performance data. 192GB HBM3, 5,300 GB/s bandwidth, 2,610 TFLOPS FP8 on CDNA 3 chiplet architecture.

AMD Instinct MI350X specs and performance estimates. 288GB HBM3e, ~6,000 GB/s bandwidth, ~3,600 TFLOPS FP8 on CDNA 4 architecture at TSMC 3nm.

DeepSeek has denied Nvidia and AMD pre-release access to its upcoming V4 model while granting Huawei and domestic Chinese chipmakers a multi-week optimization window, signaling a strategic pivot toward building a parallel AI software ecosystem on Chinese silicon.

Meta has agreed to rent Google's Ironwood TPUs through Google Cloud to train next-generation AI models, adding a third major chip supplier alongside Nvidia and AMD in a single month.

AMD invests $250 million in Nutanix to co-develop an open enterprise AI platform using Instinct GPUs, EPYC CPUs, and ROCm - directly challenging Nvidia's CUDA lock-in.