FuriosaAI's technology demonstrates to infra/datacenter AI deployment professionals that rapid and more powerful advancements to GPUs are great for hyperscalers but poorly matched for typical data center (Leveraging OCP for Sovereign AI Plans - presented by Supermicro shows over 70% of data centers are 50kW - 0.5Mw.) The ability to openly choose compute projects that are designed to make computers more sustainable are the cornerstone of the OCP.
We will introduce the Tensor Contraction Processor (TCP), a novel architecture that reconceptualizes tensor contraction as the central computational primitive, enabling a broader class of operations beyond traditional matrix multiplication. And how it unlocks designing AI inference chips that can achieve the performance, programmability, and power efficiency trifecta for data centers.
Given the power constraints of data centers and the wide variation in rack power capacities, we are learning to evaluate total token generation throughput across AI accelerators within the same rack power budget, which is a metric that resonates strongly with our early enterprise and AI compute provider partners.
