Google has recently announced an expanded partnership with NVIDIA, aimed at enhancing the development of artificial intelligence (AI) technologies. The collaboration between Google Cloud and NVIDIA is set to provide the machine learning community with cutting-edge technology to accelerate the creation, scaling, and management of generative AI applications.
To further advance AI capabilities, Google has revealed plans to integrate the new NVIDIA Grace Blackwell AI computing platform and the NVIDIA DGX Cloud service into its infrastructure. The NVIDIA H100-powered DGX Cloud platform is now available on Google Cloud, offering developers enhanced capabilities for training and deploying AI models.
In addition to hardware integrations, Google and NVIDIA are also working on software optimizations to streamline the AI development process. Google will adopt NVIDIA NIM inference microservices, providing developers with a flexible platform to train and deploy AI models using their preferred tools and frameworks. The companies have also announced support for JAX on NVIDIA GPUs and Vertex AI instances powered by NVIDIA H100 and L4 Tensor Core GPUs.
Google Cloud CEO Thomas Kurian emphasized the importance of the partnership with NVIDIA, stating that it spans across hardware, software, and their managed Vertex AI platform. According to NVIDIA CEO Jensen Huang, enterprises can now leverage expanded infrastructure offerings and integrations with NVIDIA’s full-stack AI to accelerate the adoption of generative AI applications.
The collaboration between Google Cloud and NVIDIA builds on their existing commitment to delivering leading AI capabilities to the global community. Through the partnership, researchers, scientists, and developers can access optimized tools and frameworks on Google Cloud to train and deploy sophisticated AI models more effectively.
Overall, the enhanced partnership between Google Cloud and NVIDIA signifies a significant step towards democratizing AI technology and empowering developers to build innovative AI applications with ease. The joint efforts of both companies aim to provide a highly accessible and comprehensive AI platform for ML developers, enabling them to scale their AI initiatives efficiently.
