Access the OpenInfer Runtime Infrastructure Architecture Whitepaper to learn how we’re redefining inference at the edge
OpenInfer solves for three core environments where AI must run on real, local compute.
Turn CPU, GPU, and distributed machines into a unified inference fabric with shared memory and scaling. Keep data private and latency low while avoiding monolithic upgrades.
Unify heterogeneous edge devices so they cooperate intelligently, share context, and scale workloads across constrained networks — resilient even when connectivity drops.
Run fast, private, and context-rich models locally while seamlessly bursting to cloud when available. Reduce cost and dependency while improving responsiveness.
Follow new releases, engineering breakthroughs, and examples of Local Al in action - all built to run closer to where your product lives.
Today, we’re excited to share a big step forward for OpenInfer: we’ve officially joined the Intel® Partner Alliance and Microsoft’s Pegasus Program. These are two of the most influential innovation...
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