Running AI workloads is coming to a virtual machine near you, powered by GPUs and Kubernetes
Run:AI offers a virtualization layer for AI, aiming to facilitate AI infrastructure. It’s seeing lots of traction and just raised a $75M Series C funding round. Here’s how the evolution of the AI landscape has shaped its growth.
Run:AI takes your AI and runs it on the super-fast software stack of the future. That was the headline to our 2019 article on Run:AI, which had then just exited stealth. Although we like to think it remains accurate, Run:AI’s unconventional approach has seen rapid growth since.
Run:AI, which touts itself as an “AI orchestration platform”, today announced that it has raised $75M in Series C round led by Tiger Global Management and Insight Partners, who led the previous Series B round. The round includes the participation of additional existing investors, TLV Partners and S Capital VC, bringing the total funding raised to date to $118M.
We caught up with Omri Geller, Run:AI CEO and co-founder, to discuss AI chips and infrastructure, Run:AI’s progress, and the interplay between them.
Read the full article on ZDNet
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