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Neural Magic is improving generative AI by creating software and algorithms that boost AI workloads. Red Hat just acquired Neural Magic to expand its AI offerings and reach more customers across hybrid cloud systems.
Generative AI is a rising field, with large language models (LLMs) at the forefront of natural language processing and content creation. These powerful models face big hurdles. They need loads of computing power, and often, businesses struggle with their cost and scalability. Neural Magic specializes in inference performance engineering, which allows AI models to run better. It tackles these exact issues by making AI models more efficient, optimized, and cost-effective for more users.
Red Hat aims to expand its AI offerings by adding Red Hat AI to its AI portfolio. This addition includes Red Hat OpenShift AI, a platform for creating, training, and rolling out machine learning models across multiple environments. The purchase also builds on Red Hat’s plan to offer open-source licensed models that work across hybrid cloud setups, on-premise data centers, multiple cloud providers, and edge computing.
Strength of Open-Source AI
Red Hat has led the open-source software field for years, and this step shows its ongoing commitment. The company believes that open-source AI will let organizations deploy models that suit their needs without being stuck in proprietary ecosystems or dependent on expensive specialized hardware.
Neural Magic's work with vLLM, a UC Berkeley project, makes a big difference in open-source AI. This project boosts LLMs for model serving. It gives users more ways to model customization, improve performance, and lower infrastructure costs. For Red Hat, integrating this into its AI portfolio means organizations have more flexibility and choice when building AI workloads.
As Red Hat moves forward with hybrid cloud generative AI, the company is betting smaller, more optimized models will be more sustainable and scalable for enterprises. This is in line with the broader AI trend of efficiency and flexibility.
What’s next for Red Hat and Neural Magic?
There’s lots to look forward to for Red Hat and their customers. Integrating Neural Magic’s optimization tech will mean more efficient, secure, and customizable LLMs that can be tuned for specific business use cases. You’ll be able to run AI models faster, cheaper, and more of them and get more out of your AI infrastructure.
And the expanded AI ecosystem means you’ll have more choices for hardware, deployment environments, and model tuning. With Red Hat’s continued commitment to open source and customer choice, you can use the right tools and resources for your AI needs.
Key takeaways
The Red Hat-Neural Magic deal is a reminder of the evolution of AI. It shows the importance of efficiency and optimization for generative AI and how open source can drive innovation.
This is an exciting time if you want to adopt or grow your AI initiatives. Red Hat’s expanded capabilities and Neural Magic’s expertise mean you have the tools to build and deploy optimized AI workloads better and faster than ever. To get ahead of the curve, you should look at AI solutions with the hybrid cloud model, support open-source innovation, and prioritize operational efficiency.
