Red Hat's acquisition of AI-optimized startup Neural Magic, a move marks an important step in the field of artificial intelligence. Neural Magic focuses on optimizing AI models to enable them to run at a speed close to dedicated AI chips on ordinary processors, which is crucial to reducing AI application costs and improving efficiency. The acquisition has not disclosed specific terms, but Neural Magic has previously received $50 million in venture capital, and its open source tools and platforms have also made it stand out in the market. Red Hat will leverage Neural Magic's technology to enhance its products such as Red Hat Enterprise Linux AI and Red Hat OpenShift AI and provide customers with more powerful AI solutions.
Recently, Red Hat announced the acquisition of AI-optimized startup Neural Magic, and the specific terms of the transaction have not been disclosed. Red Hat is an open source software company affiliated to IBM, committed to promoting technological progress and innovation in enterprises.
Neural Magic was founded in 2018 by Alex Matveev, a research scientist at MIT and Nir Shavit. The company's software aims to optimize artificial intelligence models to enable them to run on ordinary processors and GPUs at close to dedicated AI chips, such as TPUs. By running AI models on common processors, Neural Magic’s software can leverage larger memory for performance improvements.
In the field of AI optimization, many large tech companies and startups are actively competing, such as AMD and NeuReality, Deci, CoCoPie, etc. But what makes Neural Magic special is that it provides a free platform and a range of open source tools, which makes it unique in the market.
Neural Magic has received $50 million in venture capital so far, with investors including Anderson Horowitz, the New Business Association, Amdocs, Comcast Ventures, Pillar VC and Ridgeline Ventures. Red Hat CEO Matt Hicks said Neural Magic’s achievements on the vLLM project have attracted great interest from Red Hat. With Neural Magic, Red Hat will be able to provide a "enterprise-level" stack based on vLLM, helping customers optimize and deploy models while ensuring full control of infrastructure and security.
Red Hat has long been involved in the vLLM project, using it to drive the operation of its products such as Red Hat Enterprise Linux AI and Red Hat OpenShift AI. Hicks notes that through Red Hat’s partnership with Neural Magic, infrastructure partners can better scale AI across platforms, while integrated service provider partners can gain stronger inference capabilities and performance to better match their products. Integration.
Hicks mentioned in the statement: “AI workloads need to run in the hybrid cloud where customer data resides, which requires flexible, standardized and open platforms and tools that enable organizations to choose the environment that best suits their unique operations and data needs. Resources and architecture. ” This acquisition further promotes Red Hat’s dual development in the fields of open source and AI.
Red Hat's acquisition of Neural Magic comes as the company releases a series of AI-related announcements at the KubeCon annual computing conference held in Salt Lake City. Red Hat also launched Climatik tools in partnership with Intel, Bloomberg and IBM to optimize the energy efficiency of data centers and released a new version of its OpenShift AI and Device Edge development platforms.
Official blog: https://www.redhat.com/en/about/press-releases/red-hat-acquire-neural-magic?intcmp=7015Y000048mWDQAY
Key points:
Red Hat acquires Neural Magic to optimize the speed of AI models running on ordinary processors.
Founded in 2018, Neural Magic has received $50 million in venture capital and provides free open source tools.
Red Hat’s collaboration with Neural Magic will enhance its products in the AI field and drive the development of open source solutions.
In short, Red Hat's acquisition of Neural Magic is an important step in its strategic layout in the AI field, which will further enhance its competitiveness in open source and hybrid cloud AI solutions and provide customers with a stronger and more flexible AI platform.