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According to the latest news from TechCrunch, Nvidia has acquired Tel Aviv-based AI startup Run:ai for up to $1 billion, a company that helps developers and operations teams manage and optimize AI hardware infrastructure. Run:ai will also become one of Nvidia’s largest acquisitions since its $6.9 billion acquisition of Mellanox in March 2019.
NVIDIA said it will continue to offer Run:ai’s products under the same business model and will continue to invest in Run:ai’s product roadmap to make it part of the NVIDIA DGX Cloud AI platform.
NVIDIA’s DGX server, workstation and DGX Cloud customers will also receive Run:ai capabilities, specifically for generative AI deployments running in multiple data center locations.
Run:ai CEO Omri Geller (first from left) said, Run:ai has been working closely with NVIDIA since 2020, and we are both passionate about helping customers make full use of their infrastructure.
It is reported that Geller and Ronen Dar co-founded Run:ai a few years ago. They studied with professor Meir Feder at Tel Aviv University. Feder is the third founder of Run:ai. Their goal is to create a platform that “shards” AI models into pieces that run in parallel on hardware, whether on-premises, in the public cloud, or at the edge.
While Run:AI has few direct competitors, other companies are also applying dynamic hardware allocation to AI workloads. For example, Grid.ai provides software that allows data scientists to train AI models on parallel GPUs, processors, and other devices.
In its early stages, Run:AI has built a large Fortune 500 customer base, attracting venture capital. Prior to the acquisition, Run:ai raised $118 million in capital from investors including Insight Partners, Tiger Global, S Capital and TLV Partners.
Alexis Bjorlin, vice president of NVIDIA DGX Cloud, pointed out that customers’ AI deployments are becoming more and more complex, and companies have a growing need for more efficient use of AI computing resources.
A recent survey by ClearML, a machine learning model management company, found that so far in 2024, the biggest challenge to scaling AI is the availability and cost of computing resources, followed by infrastructure issues.
He also said that managing and coordinating workloads such as generative AI, recommendation systems, and search engines requires complex scheduling to optimize system-level performance and underlying infrastructure. NVIDIA’s accelerated computing platform and Run:ai’s platform will continue to support a wide range of An ecosystem of third-party solutions that provides customers with choice and flexibility. NVIDIA’s partnership with Run:ai will enable customers to access GPU solutions anywhere through a single architecture.
PS: Looking back from 2023 to the present, most of the AI hype has focused on the horizontal capabilities of the basic model, but the real opportunity for AI lies in how AI and Agent reconfigure and create the B2B value chain. 112 top VCs selected the Top 30 technology startups in 2024 The company, close to 50% GenAI, less than 1/4 SaaS, GGV managing partner: AI is now seriously overvalued, but it is still in the first half of the first round. We are still optimistic about AI and Infra-related entrepreneurial opportunities in the future!
Reference：
https://techcrunch.com/2024/04/24/nvidia-acquires-ai-workload-management-startup-runai/
Tags: Express SuddenNvidia acquires Infra startup US1 billion continue acquire similar targets
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