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Upscale AI

AI · Santa Clara, United States · Founded 2024

Upscale AI is a deep-tech infrastructure company dedicated to accelerating the performance and scalability of the world’s most advanced artificial intelligence systems. Founded by industry pioneers with a track record of building planet-scale compute platforms, the company focuses on the "scale-up" networking layer—the critical hardware and software interface that connects thousands of GPUs into a single, unified compute engine. Upscale AI’s mission is to democratize AI infrastructure by providing high-performance, open-standard alternatives to the proprietary networking stacks that currently dominate the market. The company operates at the intersection of semiconductor design and systems software, serving global hyperscalers, AI-first enterprises, and sovereign cloud providers. Its business model centers on the design and delivery of a full-stack networking platform, comprising purpose-built silicon chips and a specialized software orchestration layer. By adopting an open-standard approach through participation in consortiums like UEC and SONiC, Upscale AI ensures interoperability across diverse hardware environments, allowing customers to build large-scale AI clusters without vendor lock-in. Key features of Upscale AI's portfolio include its high-bandwidth networking silicon and automated fabric management tools that optimize data movement between compute nodes. The company’s technology is engineered to handle the unique, bursty traffic patterns of large language model (LLM) training and inference, which often overwhelm traditional data center switches. With a team reimagining infrastructure from first principles, Upscale AI provides the foundational connectivity required to support the next era of hyper-scale generative AI and massive parallel computing. Keywords: AI networking, semiconductors, high-performance computing, data center infrastructure, open standards, silicon design, GPU clusters, scale-up networking, DeepTech, generative AI infrastructure.