Broadcom reveals new private AI platform with emphasis on cost efficiency and data security.

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Broadcom Inc.’s Chris Wolf, global head of AI and advanced services for the VMware Cloud Foundation division, emphasizes the company’s focus on private AI as a cornerstone initiative. Wolf discusses the importance of privacy and data control for customers, highlighting the cost-effectiveness and flexibility of running AI services in an enterprise data center. Partnering with Nvidia Corp., Broadcom has developed the Private AI Foundation, offering a platform approach that allows for quick adoption of changes and agility in AI infrastructure. Addressing concerns around privacy and data control, Broadcom’s platform ensures compliance with regulatory requirements, making it a preferred choice for enterprises. Wolf also emphasizes the importance of inference in AI compute cycles and how Broadcom’s platform optimizes resource efficiency and reliability, resulting in significant cost savings and efficiency gains for businesses. The collaboration with Nvidia has enabled the integration of powerful inference microservices into Broadcom’s infrastructure, leading to the general availability and increased traction of the Private AI Foundation among customers. Wolf stresses the challenges enterprises face in deploying and managing AI applications, including automation, security, governance, and control. Overall, private AI offers a functioning ecosystem for enterprise needs, providing solutions for reducing costs, strengthening privacy/data control, and enabling flexibility in AI implementations. As the market for artificial intelligence continues to grow, niche offerings like private AI are emerging to address specific pain points for enterprises, making it a key area of focus for companies like Broadcom.

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https://siliconangle.com/2024/06/26/broadcom-private-ai-efficiency-security-flexibility-vcftransformed/