Join Google Cloud at NVIDIA GTC (register for free here) to understand how Google Cloud and NVIDIA are able to help you conquer challenges. We'll show you how to accelerate your artificial intelligence (AI) machine learning (ML) and High Performance Computing (HPC) workloads. Join "Accelerate Your AI and HPC Journey on Google Cloud (Presented by Google Cloud) -- S42583" to hear how NVIDIA GPUs power Google's AI/ML portfolio and review five different ways to deploy and manage NVIDIA GPUs on Google Cloud. We'll also hear from automotive companies, how they're innovating and revolutionizing the industry. "Nuro's perception team has accelerated their AI model development with Vertex AI NAS. Vertex AI NAS have enabled us to innovate AI models to achieve good accuracy and optimize memory and latency for the target hardware. Overall, this has increased our team's productivity for developing and deploying perception AI models."

Join Google Cloud at NVIDIA GTC (register for free here) to understand how Google Cloud and NVIDIA are able to help you conquer challenges. We'll show you how to accelerate your artificial intelligence (AI) machine learning (ML) and High Performance Computing (HPC) workloads. Join "Accelerate Your AI and HPC Journey on Google Cloud (Presented by Google Cloud) -- S42583" to hear how NVIDIA GPUs power Google's AI/ML portfolio and review five different ways to deploy and manage NVIDIA GPUs on Google Cloud. We'll also hear from automotive companies, how they're innovating and revolutionizing the industry. Google is the only Cloud Service Provider (CSP) to have single Accelerator Optimized VM leverage up to 16 NVIDIA A100 GPUs supported by NVIDIA's NVlink fabric, reaching effective performance of up to 10 petaflops of FP16 or 20 petaOps of int8 in a single VM.

After an interesting year for Google Cloud's artificial intelligence group, Andrew Moore, dean of computer science at Pittsburgh's Carnegie Mellon University, will become head of the division at the end of the year, with current leader Fei Fei Li returning to Stanford in a move that Google said was all part of the original plan. Moore, a former Google employee, will rejoin the company at the end of the current semester at Carnegie Mellon, Google Cloud CEO Diane Greene announced in a blog post. "We are incredibly fortunate to have Andrew's leadership at this point in our development as we define how we will expand bringing AI and ML technologies and solutions to developers and organizations all over the world," she wrote. Google's artificial intelligence research team is considered among the best in the world, but it endured some high-profile setbacks this year after employees demanded that the cloud group stop working with the Department of Defense on Project Maven, which used image-recognition techniques to target drone strikes. In August, Greene announced that Google would not renew its contract with the Pentagon for those services, a move that also likely took the company out of the running for the $10 billion JEDI cloud computing contract under consideration by the military.