New private AI offerings unveiled to accelerate adoption of next generation apps.
VMware has introduced new Private AI offerings to drive enterprise adoption of generative Artificial Intelligence and tap into the value of trusted data.
To make Private AI a reality for enterprises and fuel a new wave of AI-enabled VMware announced:
- VMware Private AI Foundation with NVIDIA,
An extension of the collaboration with NVIDIA 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.
With these new offerings, VMware says it is helping customers combine the flexibility and control required to power a new generation of AI-enabled applications that will help dramatically increase worker productivity, ignite transformation across major business functions and drive economic impact.
A McKinsey report estimates generative AI could add up to $4.4 trillion annually to the global economy.
A multi-cloud environment is seen as the foundation for this new class of AI-powered applications because it makes private yet highly distributed data easier to harness.
“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.
Enterprises today face a hard choice when it comes to generative AI. They can either take advantage of public AI models to build their generative AI applications – but with the attendant risks of data exposure and uncertain training sources.
Or they can attempt a DIY model – a strategy seen as lacking cost-efficiency and time-to-value.
VMware AI Labs developed VMware Private AI specifically to solve this problem.
“AI has traditionally been built and designed by data scientists for data scientists,” said Chris Wolf, Vice President of VMware AI Labs.
“With the introduction of these new VMware Private AI offerings, VMware is making the future of AI serve everyone in the enterprise by bringing the choice of compute and AI models closer to the data.”
VMware Private AI Foundation with NVIDIA, comprised of a set of integrated AI tools, is pitched as empowering enterprises to run proven models trained on their private data in a cost-efficient manner and will enable these models to be deployed in data centers, on leading public clouds and at the Edge.
VMware Private AI Foundation with NVIDIA – supported by Dell Technologies, Hewlett Packard Enterprise (HPE) and Lenovo – will integrate VMware’s Private AI architecture, built on VMware Cloud Foundation, with NVIDIA AI Enterprise software and accelerated computing.
The turnkey offering is pitched as providing customers with the accelerated computing infrastructure and cloud infrastructure software they need to customize models and run generative AI applications – including intelligent chatbots, assistants, search and summarization.
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.
VMware has showcased 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 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 launch SafeCoder, pitched as 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.
- 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 has announced 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 has introduced 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 are said to 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
Addressing 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
Toempower users to create high-quality scripts using natural language prompts for a faster and more efficient script writing experience.
- NSX+ with Intelligent Assist
To will allow security analysts to quickly and more accurately determine the relevance of security findings and effectively remediate threats.
