A2 VMs with NVIDIA A100 GPUs are GA

 By Google Cloud Blog - 2021-03-22

Description

A2 VMs with NVIDIA A100 GPUs are now generally available for your most demanding workloads including machine learning and HPC.

Summary

  • A2 VMs now GA—the largest GPU cloud instances with NVIDIA A100 GPUs Try GCP Today, we are excited to announce the general availability of A2 VMs based on the NVIDIA Ampere A100 Tensor Core GPUs in Compute Engine, enabling customers around the world to run their NVIDIA CUDA-enabled machine learning (ML) and high performance computing (HPC) scale-out and scale-up workloads more efficiently and at a lower cost.
  • Dessa, an artificial intelligence (AI) research firm recently acquired by Square was an early user of the A2 VMs.
  • Google Cloud’s NVIDIA A100 instances are a major step in further democratizing advanced visual effects, giving any OctaneRender and RNDR users on-demand access to state of the art NVIDIA GPUs previously only available in the biggest Hollywood studios” - Jules Urbach, Founder and CEO, OTOY.
  • Our pre-built and optimized TensorFlow Enterprise Images also support A100 optimizations for current and older versions of TensorFlow (1.15, 2.1, and 2.3).

 

Topics

  1. Backend (0.5)
  2. Machine_Learning (0.24)
  3. UX (0.1)

Similar Articles

Cloud Covered: What was new with

By Google - 2020-12-10

Get the latest from the Google Cloud blog on remote working with help from Google Workspace and Chromebooks, machine learning (ML) and more in cloud technology.

Top 20 Artificial Intelligence Platforms for

By Big Data Analytics News - 2020-01-17

Aspects of artificial intelligence, such as machine learning and natural language processing, have been incorporated in many important areas of daily living today that we can no longer live without th ...

What is a Multi-cloud Environment?

By Nutanix - 2021-01-12

Multi-cloud is the use of more than one cloud platform that delivers a specific application or service and can be comprised of public, private, and edge clouds.