Upscale AI builds open-standard networking infrastructure — silicon, systems, and software — purpose-built for AI workloads like GPU-to-GPU communication at ultra-low latency. Its SkyHammer architecture unifies GPUs, accelerators, memory, and storage into a single fabric, built on SONiC, Ultra Ethernet, and UALink as an open alternative to Nvidia's NVLink. Upscale is fully vertically integrated across the networking stack. It also bets entirely on open standards rather than proprietary protocols, aiming to give hyperscalers and enterprises vendor-neutral interoperability instead of lock-in.

With GPU compute remaining expensive and scarce, organizations are increasingly motivated to maximize the utilization and performance of their existing AI infrastructure, creating strong demand for Upscale AI's optimization solutions.

Upscale has raised over $300M across a $100M+ seed and $200M Series A from Tiger Global, Premji Invest, Intel Capital, Qualcomm Ventures, and others. Its products are targeting hyperscalers and AI infrastructure operators, with networking solutions slated to begin shipping in 2026.