AI hardware

AMD and Anthropic: A 2GW Bet on AI Infrastructure Diversification

AMD and Anthropic: A 2GW Bet on AI Infrastructure Diversification

AI, Application Development, Infrastructure /

AMD and Anthropic have announced a gigawatt-scale GPU deployment deal and multi-year engineering collaboration worth up to $5 billion in equity. The partnership challenges NVIDIA’s dominance in AI infrastructure and places a major bet on AMD’s ROCm software stack. Enterprise AI buyers and developers should pay close attention to the execution milestones ahead.

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Gimlet Labs Joins MLCommons to Define Agentic Inference Benchmarks

Gimlet Labs Joins MLCommons to Define Agentic Inference Benchmarks

AI, Application Development, DevOps, Infrastructure /

Gimlet Labs has joined MLCommons to contribute to new benchmarks for agentic inference through the MLPerf working group. The move addresses a real measurement gap: existing benchmarks weren’t designed for multi-step, multi-model agentic workloads. For enterprise buyers, standardized agentic inference benchmarks are a precondition for credible infrastructure procurement decisions.

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MatX One: A Purpose-Built LLM Inference Chip Challenges NVIDIA

MatX One: A Purpose-Built LLM Inference Chip Challenges NVIDIA

AI, Application Development, Infrastructure, Semiconductors /

MatX has closed a $500M Series B to develop the MatX One, a purpose-built LLM inference chip targeting throughput and latency at scale. The announcement signals growing disaggregation in the AI hardware market and poses real implications for enterprise AI infrastructure decisions. ECI Research analyst take on what it means for ITDMs and developers.

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Ainekko's Open Edge AI Silicon Joins OpenHW Foundation

Ainekko’s Open Edge AI Silicon Joins OpenHW Foundation

AI, Application Development, Edge Computing, Open Source /

Ainekko has donated its CORE-ET Silicon Platform to the OpenHW Foundation, placing open RISC-V AI inference hardware under neutral governance. The move signals a broader shift toward open silicon for edge AI deployments. ECI Research examines what this means for enterprise buyers and developers building the next generation of embedded AI systems.

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AMD Ryzen AI Halo: The Case for On-Device Agentic AI

AMD Ryzen AI Halo: The Case for On-Device Agentic AI

AI, Application Development, DevOps, Infrastructure /

AMD has announced the Ryzen AI Halo developer platform and Ryzen AI Max PRO 400 Series processors, targeting on-device agentic AI workloads with up to 192GB of unified memory. The move challenges cloud-centric AI infrastructure assumptions and opens a new cost and privacy calculus for enterprise IT. ECI Research analyzes what this means for IT decision-makers and the developers building the next generation of agent workflows.

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