…AMD launched new initiatives aiming to increase recycled content in our products, thereby advancing our circular economy and decarbonization strategies. In 2024, 87% of AMD Manufacturing Suppliers 2 had public GHG emissions…
…Enhanced Distributed Inference AMD ROCm 7 introduces a robust approach to distributed inference, leveraging the open-source ecosystem, including frameworks like SGLang, vLLM, and llm-d. By embracing an open strategy, ROCm…
…Article By Robert Hormuth Corporate Vice President, Architecture & Strategy – Data Center Solutions Group Related Blogs View All Blogs QuickReduce FP4 Quantization and Benchmarking on MI355 — ROCm Blogs Learn how QuickReduce uses FP4…
…ZenDNN Framework landscape at a glance Supercharging vLLM V1 Engine with AMD ZenDNN Leveraging CPUs for LLM inference is rapidly evolving from a niche alternative into a sophisticated and cost-efficient strategy…
…Results point to an accelerating shift in enterprise AI strategy. Organizations are moving beyond pilot programs and embedding AI more deeply into day-to-day operations. Key findings from the IDC white…
…AI networking is one part of this broader strategy, designed to ensure that the network scales and adapts alongside rapidly evolving AI workloads. By aligning networking with open, programmable infrastructure principles, AMD…
…AI PCs represent one of the most tangible ways employees experience enterprise AI strategies, and investments in these systems can help translate broader initiatives into everyday workflows. Organizations that prioritize employee learning…
…Ask the LLM to propose multiple strategies with trade-offs. A prompt that worked well in practice: “Given this synthesis report and device constraints, propose several optimization strategies. For each, explain the…
…AI can also pick up suspicious behavior and assist in fraud detection at a level imperceptible to humans." AMD processors support 77 Bank in all areas of its IT strategy, DX, and…
…In practice, most production migrations come down to deployment strategy, not code changes. However, organizations still need a safe and predictable migration path that minimizes risk, maintains availability, and preserves existing automation…