SK hynix presented several next-generation memory solutions for AI servers at OCP Global Summit 2026, held October 12–15 in San Jose.
The actual reach of a PCIe retimer is not set by the spec but by multiple factors including SerDes architecture, controller intelligence, channel quality, and diagnostics. PCI-SIG typically requires about 36 dB insertion loss tolerance, but leading vendors' retimers can tolerate 40 dB or more, enabling longer PCB traces, more connectors, and greater manufacturing variance. As PCIe Gen6 advances, designs beyond compliance testing, interoperability, and observability become key to real-world deployment reliability.
AMD released the replay of its OCP 2026 keynote themed "Building the Next Era of AI Infrastructure." Downloads on the page require first accepting AMD's trademark usage terms, and the AMD trademarks may only be used to promote products containing AMD processors.
At the OCP Global Summit, Intel detailed its GPU D-series (codenamed Crescent Island), built on the Xe3P architecture with up to 480 GB LPDDR5X memory, 1.5 TB/s memory bandwidth and 1.3 petaflops of FP8 compute at 350 watts; a single card supports 300-billion-parameter models and an 8-card system supports over 1 trillion parameters.
AMD launched the Helion agentic AI rack-scale solution, an open blueprint for agentic AI infrastructure designed based on OCP specifications.
AMD has launched the AMD Helion agentic AI rack, an open blueprint for agentic AI infrastructure designed to Open Compute Project specifications and powered by AMD compute.
At the AI Infra Summit, AMD argued that the core of AI infrastructure design should not be chips or networking but a system's ability to adapt to changing demands. The piece notes that agentic AI turns a single request into a multi-step chain of retrieval, tool calls, code execution and sub-agent coordination, and should be measured by cost per completed task rather than cost per token, offering three auditable principles: adaptable, economical, and open.
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, Supermicro and Spectro Cloud jointly launched AMD Instinct Coder, a turnkey enterprise AI coding solution using a local-first hybrid inference approach to help enterprises keep control of source code, model usage, and costs.
At FMS 2026, Marvell unveiled a new-generation AI memory infrastructure portfolio spanning server-level AI storage, rack-level CXL memory expansion and pooling, and cabinet-level optical shared memory.