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Run:ai raises $75M for its AI platform

Run:ai raises $75M for its AI platform

2 years ago
Anonymous $jukOC22bR_

https://techcrunch.com/2022/03/15/runai-raises-75m-for-its-ai-optimization-and-orchestration-platform/

Tel Aviv-based Run:ai, a startup that makes it easier for developers and operations teams to manage and optimize their AI infrastructure, today announced that it has raised a $75 million Series C funding round led by Tiger Global Management and Insight partners, which also led the company’s $30 million Series B round in 2021. Previous investors TLV Partners and S Capital VC also participated in this round, which brings Run:ai’s total funding to $118 million.

Run:ai’s Atlas platform helps its users virtualize and orchestrate their AI workloads with a focus on optimizing their GPU resources, no matter whether they are on-premises or in the cloud. It abstracts all of this hardware away, while developers can still interact with the pooled resources through standard tools like Jupyter notebooks and IT teams can get better insights into how these resources are being used.

Run:ai raises $75M for its AI platform

Mar 15, 2022, 4:18pm UTC
https://techcrunch.com/2022/03/15/runai-raises-75m-for-its-ai-optimization-and-orchestration-platform/ > Tel Aviv-based Run:ai, a startup that makes it easier for developers and operations teams to manage and optimize their AI infrastructure, today announced that it has raised a $75 million Series C funding round led by Tiger Global Management and Insight partners, which also led the company’s $30 million Series B round in 2021. Previous investors TLV Partners and S Capital VC also participated in this round, which brings Run:ai’s total funding to $118 million. > Run:ai’s Atlas platform helps its users virtualize and orchestrate their AI workloads with a focus on optimizing their GPU resources, no matter whether they are on-premises or in the cloud. It abstracts all of this hardware away, while developers can still interact with the pooled resources through standard tools like Jupyter notebooks and IT teams can get better insights into how these resources are being used.