Server - HPC _ High Performance Computing - Sub-Project - (2026-04-14)

Open Compute Project
Open Compute ProjectMay 11, 2026

Why It Matters

Standardizing low‑power chiplet interconnects could democratize high‑performance AI hardware, reducing reliance on proprietary solutions and unlocking broader industry participation.

Key Takeaways

  • Team explores Credo’s OmniConnect chiplet interconnect for HPC systems.
  • Funding setbacks prompt a strategic reset and proposal refresh.
  • Nvidia’s Vera Rubens updates set a high benchmark for competition.
  • Open standards aim to simplify multi‑chiplet ecosystem integration.
  • Early prototypes show lower power, latency benefits for short‑reach links.

Summary

The OCP HPC sub‑project held an informal meeting to reassess its roadmap after a recent funding application fell through. Participants discussed the need to reboot the effort, benchmark against Nvidia’s latest Vera Rubens chiplet advances, and explore new partnership opportunities.

A central focus is Credo’s OmniConnect standard, a short‑reach, low‑power interconnect that could enable dense, pluggable chiplets at the system level. The team is evaluating how this IEEE‑VSR‑compatible technology might be integrated into open‑source designs, potentially offering lower latency and power consumption compared with existing solutions.

Key examples cited include a patented analog‑centric 30 µm interconnect that reduces power, and a rapid‑prototype workflow using Claude’s AI‑assisted RTL generation to produce PLL and SAR generators in days. Funding chatter mentioned a $100 million federal pool for microelectronics, prompting a plan to refresh and resubmit the original “wall of compute” proposal with denser chiplet configurations.

If successful, an open‑standard chiplet ecosystem could level the playing field against Nvidia, accelerate AI‑focused HPC deployments, and attract new industry participants to the OCP community, reinforcing its role as a collaborative hardware innovation hub.

Original Description

Public call recording of Server - HPC _ High Performance Computing sub-project.

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