Introducing AMD Helion, Agentic AI Compute at Rack Scale
AMD launched the Helion agentic AI rack-scale solution, an open blueprint for agentic AI infrastructure designed based on OCP specifications.
AMD launched the Helion agentic AI rack-scale solution, an open blueprint for agentic AI infrastructure designed based on OCP specifications.
AMD announced that as of mid-2026 its AI energy efficiency improvement is estimated at 4x, exceeding the 3x expected for this phase, as it advances toward its 20x30 goal of a 20x improvement in rack-scale AI training and inference energy efficiency by 2030.
AMD released its 2025-26 Corporate Responsibility Report, reviewing progress on 2020-2025 goals and looking ahead to 2030. From 2020 to 2025, renewable electricity rose from 22% to 58%, operational greenhouse gas emissions fell 30%, AI training and high-performance computing node energy efficiency improved 38x, and AMD systems on the Green500 list grew from 11 to 194; new targets include a 20x improvement in rack-scale AI energy efficiency from 2024 to 2030.
TrendForce analysis indicates that large-scale AI data center (AIDC) deployments in 2026 are pushing energy storage from an optional add-on to critical infrastructure. North America urgently needs storage to secure 24/7 power given gas generation's 40-50% share and tight supply of large gas turbines; China has made compute-power coordination part of new infrastructure, making 4-8 hour long-duration storage standard for compute hubs. AIDC storage is deployed on both the data center side and the power generation side, and NVIDIA's 800V DC architecture white paper proposes facility-level and rack-level two-tier storage schemes.
Arista announced the launch of XPO high density liquid cooled pluggable optics. The original page body failed to load, so details such as specifications and availability cannot yet be verified.