In addition to the Tanzu product portfolioIntroducing automatically generated artificial intelligence applications, and has deepened its collaboration with NVIDIA to enable enterprises to deploy services in the cloud more quickly and introduce automatically generated artificial intelligence application resources. VMware also announced that through the Private AI architecture solution, enterprises can introduce artificial intelligence technology applications while ensuring data privacy and service compliance with regulatory requirements.
During VMware Explore 2023, VMware not only collaborated with NVIDIA to createVMware Private AI Foundation with NVIDIA, allowing enterprises to more quickly introduce self-generated artificial intelligence through VMware services. In addition, through the VMware Private AI Reference Architecture for Open Source, it connects the current and future markets and provides open source software, allowing enterprises to build the required artificial intelligence application content according to their needs.
VMware emphasized that the design of Private AI will help enterprises embrace artificial intelligence more quickly, while also ensuring that the artificial intelligence it builds complies with data privacy and security and market regulations, thereby reducing the difficulty for enterprises to integrate artificial intelligence technology applications.
According to market research firm McKinsey, self-generated AI will drive $4.4 trillion in annual growth for the global economy. Compared to earlier AI technologies, this technology will also drive more application development opportunities. Multi-cloud integration makes private data, previously highly distributed across different cloud platforms, more accessible. Combined with AI technology integration, this will provide businesses with more options and flexibility in building AI application services.
However, current AI technology is primarily built through large amounts of data combined with computational training. The increasingly popular automated generative AI, in particular, may pose greater privacy and security risks. This is because most companies typically lack the budget to build their own computational models. Instead, they often rely on publicly available computational models to build AI application services. This leads to uncertain training sources and the potential privacy risk of data exposure.
To address this issue, VMware is building Private AI through its AI Labs, enabling businesses to build AI applications and services using more trustworthy computing models, thereby mitigating data privacy risks. The VMware Private AI Foundation with NVIDIA, a collaboration with NVIDIA, further integrates NVIDIA's computing resources and model frameworks, making it easier for businesses to embrace the development of generative AI applications.
In a subsequent interview, VMware CEO Raghu Raghuram said VMware's development goal is to simplify the workflow of enterprises and developers and enable them to build application services at a faster pace.
In addition to its in-depth collaboration with NVIDIA on auto-generative AI, VMware revealed that it will also collaborate with cloud service providers such as Azure and AWS in the future to leverage its auto-generative AI technology resources, thereby expanding the scale of development of such technology application services for enterprises and developers.
Raghu Raghuram said that embracing auto-generative AI technology will not only simplify workflows for businesses and developers, but will also enable VMware to enter a more diversified development model while also generating more growth opportunities in response to market trends.
