Intel, AMD, Microsoft & Others Team Up For Develop The “UALink”, Direct Competitor To NVIDIA NVLink
NVIDIA's dominance of the NVLink interface faces major competition as Intel, AMD, Microsoft & others have teamed up to create UALink.
It Seems Like The Tech Industry Looks To Break NVIDIA's Monopoly In The Interconnect Market With UALink, Microsoft, AMD, Intel & Others Onboard
Well, this isn't the first time we have seen big tech giants teaming up against NVIDIA to break their AI monopoly since the last instance we saw was when Intel said that they and others plan to overthrow CUDA dominance but look where we are.
Related Story [Update] AMD MI300X AI Accelerator Demand Is “Soft” According To Analyst, MI350X Refresh Might Move To 2026 Launch
Moving from this, major tech firms such as Intel, AMD, Broadcom, Cisco, Google, HPE, Meta, and Microsoft have decided to form an Ultra Accelerator Link Promoter Group focused on developing an AI-focused interconnect system targeted specifically toward data centers. The group has announced intentions to develop the UALink (Ultra Accelerator Link), which aims to connect accelerators through an open protocol.
Well, the idea behind UALink is simple. The goal here is not only to provide an alternative to NVIDIA's NVLink but also to provide an option that is more powerful and accessible across a network of accelerators.
We all know that NVIDIA is confined to its ecosystem and doesn't allow support across multi-company products, which is one of the reasons why Team Green has managed to receive the AI hype it currently has. Still, with UALink, the collaboration focuses on providing a more scalable and future-proof network, courtesy of the wide range of companies involved in the process.
Diving a bit into specifics, the UALink will be based upon memory semantic fabric, which will contribute massively to the performance and scalability of the ecosystem. Moreover, the UALink Promoter Group plans to release the initial 1.0 specification by Q3 2024. The firm says that the platform will be able to scale up to 1,024 AI accelerators, and an
Read more on wccftech.com
