Recently, Google announced A2 Virtual Machines (VMs)’ general availability based on the NVIDIA Ampere A100 Tensor Core GPUs in Compute Engine. According to the company, the A2 VMs will allow customers to run their NVIDIA CUDA-enabled machine learning (ML) and high-performance computing (HPC) scale-out and scale-up workloads efficiently at a lower cost. By Steef-Jan Wiggers Recently, Google announced A2 Virtual Machines (VMs)’ general availability based on the NVIDIA Ampere A100 Tensor Core GPUs in Compute Engine. According to the company, the A2 VMs will allow customers to run their NVIDIA CUDA-enabled machine learning (ML) and high-performance computing (HPC) scale-out and scale-up workloads efficiently at a lower cost. By Steef-Jan WiggersRead More
Google Announces the General Availability of A2 Virtual Machines
Recently, Google announced A2 Virtual Machines (VMs)’ general availability based on the NVIDIA Ampere A100 Tensor Core GPUs in Compute Engine. According to the company, the A2 VMs will allow customers to run their NVIDIA CUDA-enabled machine learning (ML) and high-performance computing (HPC) scale-out and scale-up workloads efficiently at a lower cost. By Steef-Jan Wiggers Recently, Google announced A2 Virtual Machines (VMs)’ general availability based on the NVIDIA Ampere A100 Tensor Core GPUs in Compute Engine. According to the company, the A2 VMs will allow customers to run their NVIDIA CUDA-enabled machine learning (ML) and high-performance computing (HPC) scale-out and scale-up workloads efficiently at a lower cost. By Steef-Jan WiggersRead More
