Run:ai an AI Orchestration Firm Raised $75M in the latest Series C Funding Round

Business News News March 21st 2022

Run:ai company known for making AI infrastructure orchestration and management easier, has raised $75 million in a Series C round headed by Tiger Global Management and Insight Partners, who has also led the previous Series B round successfully. Also, current investors and TLV partners, and S Capital VC have joined the round, which brought the total capital to $118 million.

Run:ai has seen an exponential growth of 9x rise in Annual Recurring Revenue (ARR) in the last year, and their team has more than quadrupled. The company is going to use the funding to expand its worldwide staff, as well as examine potential acquisitions as the company develops and improves its Atlas software platform.

Omri Geller, CEO, and co-founder of Run:ai said, I might sound dramatic, but AI is really going to be the next phase of humanity’s development. When we have founded Run:ai our aim was to build the defacto foundational layer running any AI workload. Over this period of time, our growth has been phenomenal and this investment has boosted for confidence to do even better. Run:ai is motivating organizations to orchestrate all the stages of AI work at scale, so companies can easily begin their AI journey and innovate faster.

Ronen Dar, CTO, and co-founder of Run:ai said, VMware and virtualization brought a game-changer climate in traditional computing, which is what do for AI hardware to provide – more efficiency, simpler management, greater user productivity. Traditional CPU computing has a rich software stack that includes many development tools. These tools are used to run applications at scale. AI, on the other side, runs on dedicated hardware accelerators like GPUs, which have very few tools & those help their implementation and scaling. Using Run:ai Atlas, we have already built a cloud-native software layer that abstracts AI hardware away from data scientists and ML engineers, letting Ops and IT ease delivery of computer resources for any AI workload and AI projects.

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AI Clouds Foundation:

IDC suggested, worldwide AI spending is going to reach $433 billion in the year 2022, which will be a roughly 20% annual rise. Whereas, AI infrastructure is very difficult to maintain and expand. Many companies have reported low hardware usage, scheduling conflicts, and a slow rate of innovation, assuming that they can also develop a working AI infrastructure.

The Atlas platform from Run:ai provides Foundations for AI Cloud, that allows organizations to have their AI resources on a single and unified platform, that will support  AI at all stages of development, right from building and training models to running inference in production, that can be anywhere like on-premises, across public clouds, or at the edge. The company has clients from Fortune 500, and cutting-edge AI startups as well as various sectors like finance, automotive, healthcare, and gaming including all major universities.

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