Today AWS announced the general availability of G4 instances, a new GPU-powered Amazon Elastic Compute Cloud (Amazon EC2) instance designed to help accelerate machine learning inference and graphics-intensive workloads, both of which are computationally demanding tasks that benefit from additional GPU acceleration. “With new G4 instances, we’re making it more affordable to put machine learning in the hands of every developer. And with support for the latest video decode protocols, customers running graphics applications on G4 instances get superior graphics performance over G3 instances at the same cost.”
NVIDIA to Accelerate Machine Learning on VMware Cloud
August 27, 2019 by
Today NVIDIA and VMware announced plans to deliver accelerated GPU services for VMware Cloud on AWS to power modern enterprise applications, including AI, machine learning and data analytics workflows. These services will enable customers to seamlessly migrate VMware vSphere-based applications and containers to the cloud, unchanged, where they can be modernized to take advantage of high-performance computing, machine learning, data analytics and video processing applications.
Mellanox Powers Virtualized Machine Learning with VMware and NVIDIA
August 26, 2019 by
Today Mellanox announced that its RDMA (Remote Direct Memory Access) networking solutions for VMware vSphere enable virtualized Machine Learning solutions that achieve higher GPU utilization and efficiency. “As Moore’s Law has slowed, traditional CPU and networking technologies are no longer sufficient to support the emerging machine learning workloads,” said Kevin Deierling, vice president marketing, Mellanox Technologies. “Using hardware compute accelerators such as NVIDIA T4 GPUs and Mellanox’s RDMA networking solutions has proven to boost application performance in virtualized deployments.”
