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Google and NVIDIA have a longstanding partnership aimed at making artificial intelligence (AI) more accessible and beneficial for developers and users alike. At the recent NVIDIA GTC global AI conference, both companies announced several initiatives to further this mission.blog.google
Enhanced AI Training Infrastructure
To support the growing demands of AI model training, Google introduced the A4 VM, now generally available and based on NVIDIA’s HGX B200 GPU. Additionally, the upcoming A4X VMs, utilizing NVIDIA’s GB200 NVL72, will be available soon. These advancements promise faster training times and the capacity to tackle more complex AI challenges.blog.google
Expanding Access to Advanced AI Models
Google DeepMind’s Gemini, a result of extensive language model research, is now more accessible to developers, thanks to collaboration with NVIDIA. The recent release of Gemma 3, a lightweight open model, has been optimized to run efficiently across NVIDIA’s accelerated computing platforms. This optimization enables developers to implement cutting-edge AI technology on various NVIDIA GPUs.blog.google+1blog.google+1
Addressing Complex Global Challenges with AI
Beyond tools and models, Google and NVIDIA are applying AI to address some of the world’s most pressing issues:
- Energy Grid Optimization: Google’s Tapestry project and NVIDIA are researching methods to enhance the speed and accuracy of electric grid simulations.blog.google
- Advancing Drug Discovery: Isomorphic Labs and NVIDIA are collaborating to accelerate the development of new medicines using AI.blog.google+1blog.google+1
- Enhancing Robotics Capabilities: Intrinsic and NVIDIA are integrating NVIDIA’s Isaac foundation models to make robots more intelligent and capable.blog.google+1AP News+1
- Robotics Simulation: Google DeepMind and NVIDIA have launched MuJoCo-Warp, an open-source physics simulator aimed at accelerating robotics research.blog.google
These collaborations underscore a shared commitment to leveraging AI for the betterment of society, combining Google’s AI research and infrastructure expertise with NVIDIA’s leadership in accelerated computing.blog.google
For more details on these initiatives, visit the original blog post on the Google Blog.
