AMD

AMD Advancing AI: Helios, MI400, and ROCm.ai Analyzed

AMD Advancing AI: Helios, MI400, and ROCm.ai Analyzed

AI, Application Development, Enterprise IT Strategy, Infrastructure /

AMD unveiled a sweeping AI compute portfolio at its Advancing AI event, including the rack-scale Helios platform, MI400 Series GPUs, and the ROCm.ai developer experience. Customer validation from OpenAI, Meta, Anthropic, and Microsoft signals AMD has crossed the credibility threshold as a full-stack AI infrastructure alternative. ECI Research analyzes what the announcements mean for enterprise buyers and development teams.

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Tensormesh & AMD Cut GPU Costs with KV Cache Tiering

Tensormesh & AMD Cut GPU Costs with KV Cache Tiering

AI, Application Development, GPU Computing, Infrastructure /

Tensormesh and AMD have announced a collaboration that uses tiered KV cache management to double AI model density on fixed GPU hardware. Benchmarks show a nearly 7x improvement in time-to-first-token on a 300 GB document set. The approach targets the core economics of enterprise AI inference, not just raw performance.

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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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AMD Helios on Azure: What the Microsoft Partnership Means for AI Infrastructure

AMD Helios on Azure: What the Microsoft Partnership Means for AI Infrastructure

AI, Application Development, Cloud, Infrastructure, Machine Learning /

AMD and Microsoft have expanded their strategic partnership to deploy AMD Helios, a rack-scale AI platform combining Instinct GPUs, EPYC CPUs, and Pensando DPUs, at scale on Azure for frontier model inference. The move positions AMD as a genuine competitor in cloud AI infrastructure, with implications for enterprise procurement, ROCm ecosystem maturity, and inference economics. ECI Research analyzes what the announcement means for organizations scaling production AI workloads in 2026.

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AMD Developer Day 2026: Betting Big on an Open AI Platform

AMD Developer Day 2026: Betting Big on an Open AI Platform

AI, Application Development, DevOps, Infrastructure /

AMD used Developer Day 2026 to lay out a comprehensive open AI platform strategy spanning Ryzen AI endpoints, ROCm-unified software, and Instinct-class data center GPUs. The announcements signal AMD is competing on ecosystem openness, not just silicon, targeting sovereign AI deployments and on-premises enterprise inference. ECI Research analysis examines what this means for infrastructure buyers and AI developers.

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AMD Computex 2026: AM5 Longevity, 3D V-Cache, and the Value Play

AMD Computex 2026: AM5 Longevity, 3D V-Cache, and the Value Play

Application Development, Computer Hardware, Enterprise IT Strategy, Software Development /

At Computex 2026, AMD announced a Ryzen 7 7700X3D for AM5, extended socket support through 2029, launched the Radeon RX 9070 GRE, and celebrated a decade of AM4. ECI Research breaks down the competitive positioning, what it means for ITDMs and developers, and where AMD’s V-Cache architecture could find traction beyond gaming.

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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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