VMware introduced Private AI offerings at VMware Explore 2023, enabling enterprise adoption of generative AI while balancing privacy and compliance needs for trusted data. To make Private AI a reality for enterprises and fuel a new wave of AI-enabled applications, VMware announced:

  • VMware Private AI Foundation with NVIDIA, extending the companies’ strategic partnership to ready enterprises that run VMware’s cloud infrastructure for the next era of generative AI.
  • VMware Private AI Reference Architecture for Open Source to help customers achieve their desired AI outcomes by supporting best-in-class open source software (OSS) technologies today and in the future.

VMware Private AI is integrating compute capacity and AI models into enterprise data creation, processing, and consumption, enabling a new generation of AI-enabled applications. This approach, based on a multi-cloud environment, enables greater flexibility in building, customizing, and consuming AI models, while maintaining security and resilience across any environment, potentially contributing up to $4.4 trillion annually to the global economy.

“The remarkable potential of generative AI cannot be unlocked unless enterprises are able to maintain the privacy of their data and minimize IP risk while training, customizing, and serving their AI models,” said Raghu Raghuram, CEO, VMware. “With VMware Private AI, we are empowering our customers to tap into their trusted data so they can build and run AI models quickly and more securely in their multi-cloud environment.”

Enterprises face a dilemma in generative AI, either using public models or attempting a DIY approach. VMware AI Labs has developed VMware Private AI to address this issue. This approach brings compute and AI models closer to data, benefiting various use cases like software development, marketing content generation, customer service tasks, and legal document insights.

VMware Private AI Foundation with NVIDIA To Help Enterprises Become AI Ready

VMware Private AI Foundation with NVIDIA enables enterprises to run cost-efficient models trained on their private data, enabling deployment in data centers, public clouds, and at the edge. The partnership integrates VMware’s Private AI architecture with NVIDIA AI Enterprise software, providing customers with accelerated computing infrastructure and cloud infrastructure software.

An Interconnected and Open Ecosystem Supports Customers’ AI Strategies

VMware Private AI Reference Architecture for Open Source integrates innovative OSS technologies to deliver an open reference architecture for building and serving OSS models on top of VMware Cloud Foundation. At VMware Explore, VMware is showcasing collaborations with leading companies from across the AI value chain:

    • Anyscale: VMware is bringing the widely adopted open source Ray unified compute framework to VMware Cloud environments. Ray on VMware Cloud Foundation makes it easy for data scientists and MLOps engineers to scale AI and Python workloads much more easily by utilizing their current compute footprints for ML workloads instead of defaulting to the public cloud.
    • Domino Data Lab: VMware, Domino Data Lab and NVIDIA have teamed up to provide a unified analytics, data science, and infrastructure platform that is optimized, validated, and supported, purpose-built for AI/ML deployments in the financial services industry. 
  • Global Systems Integrators: VMware is working with leading GSIs such as Wipro and HCL to help customers realize the benefits of Private AI by building and delivering turnkey solutions that combine VMware Cloud with AI partner ecosystem solutions.
  • Hugging Face: VMware is collaborating with Hugging Face to help launch SafeCoder today at VMware Explore. SafeCoder is a complete commercial code assistant solution built for the enterprise that includes service, software and support. VMware is utilizing SafeCoder internally and publishing a reference architecture with code samples to enable the fastest possible time-to-value for customers when deploying and operating SafeCoder on VMware infrastructure. Read the full launch blog here.
  • Intel: VMware vSphere/vSAN 8 and Tanzu are optimized with Intel’s AI software suite to take advantage of the new built-in AI accelerators on the latest 4th Gen Intel® Xeon® Scalable processors. 

In addition, VMware is announcing a new VMware AI Ready program, which will connect ISVs with tools and resources needed to validate and certify their products on VMware Private AI Reference Architecture. The program will be available to ISVs focused on ML and LLM Ops, data and feature engineering, developer tools for AI, and embedded AI applications. This new program is expected to be live by the end of 2023.

 

Intelligent Assist Infuses Generative AI Into VMware’s Multi-Cloud Offerings

VMware is introducing Intelligent Assist, a family of generative AI-based solutions trained on VMware’s proprietary data to simplify and automate all aspects of enterprise IT in a multi-cloud era. The Intelligent Assist features will be seamless extensions of the investments enterprises have made in VMware Cross-Cloud Services and will be built upon VMware Private AI. VMware products with Intelligent Assist are expected to include:

    • VMware Tanzu with Intelligent Assist (Tech Preview) will address the challenges of multi-cloud visibility and configuration by allowing users to conversationally request and refine changes to their enterprise’s cloud infrastructure. 
  • Workspace ONE with Intelligent Assist (Tech Preview) will empower users to create high-quality scripts using natural language prompts for a faster and more efficient script writing experience. 
  • NSX+ with Intelligent Assist (Tech Preview) will allow security analysts to quickly and more accurately determine the relevance of security findings and effectively remediate threats.​