Google Cloud and NVIDIA have officially announced a very important and deep partnership aimed at accelerating the efforts of the ML community by providing advanced technologies that simplify building, scaling and managing generative AI applications.
Google Cloud adopts the new NVIDIA Grace Blackwell AI computing platform, marking an important step towards democratizing access to cutting-edge technologies. In addition, the NVIDIA DGX Cloud service, now available on Google Cloud, brings together the computing power of NVIDIA H100 GPUs, promising energy efficiency and superior performance in the era of large language model (LLM) with trillions of parameters.
The focus on collaboration also extends to the optimization of Gemma open models by adopting NVIDIA NIM inference microservices. It provides developers with a flexible and accessible platform, encouraging innovation by using their preferred tools and frameworks. Expanded support for JAX on NVIDIA GPUs and Vertex AI instances demonstrates the two companies' commitment to delivering advanced ML capabilities at scale.
Google Cloud and NVIDIA Announce the Expansion of an Important Partnership for Artificial Intelligence
Google Cloud CEO Thomas Kurian emphasizes the value of the partnership with NVIDIA, highlighting the commitment to provide an accessible and comprehensive AI platform. On the other hand, Jensen Huang, founder and CEO of NVIDIA, emphasizes the desire of enterprises to implement generative AI quickly and efficiently, laying the groundwork for a collaboration that promises to bring innovative solutions to the market.
The extended partnership builds on a long-standing commitment by both companies to deliver leading-edge technologies. Key elements include Google's adoption of the NVIDIA Grace Blackwell platform, the introduction of NVIDIA GB200 NVL72 systems into Google's cloud infrastructure, and the integration of NVIDIA NIM inference microservices into Google's Kubernetes Engine (GKE). The latter promises faster and more efficient deployment of generative AI in enterprises, offering support for a wide range of AI models.
In addition, Google Cloud makes it easy to use the NVIDIA NeMo framework for automating and scaling the training and deployment of generative AI models. Additionally, expanding support for NVIDIA GPUs through Vertex AI and Dataflow underscores the companies' commitment to providing scalable infrastructure and tools for MLOps teams, enabling them to confidently manage and deploy AI applications.
In conclusion, the partnership between Google Cloud and NVIDIA opens new horizons for the development and implementation of AI, promising to bring a number of innovations and conveniences to the ML community. By combining expertise and cutting-edge technologies, the two companies are positioning themselves as leaders in promoting a new era in AI and ML, characterized by accessibility, flexibility and performance.
