Starting today, the Amazon Elastic Compute Cloud (Amazon EC2) G5 instances powered by NVIDIA A10G Tensor Core GPUs are now available in the Asia Pacific (Hong Kong) region. G5 instances can be used for a wide range of graphics intensive and machine learning use cases.
Customers can use G5 instances for graphics-intensive applications such as remote workstations, video rendering, and cloud gaming to produce high fidelity graphics in real time. Machine learning customers can use G5 instances for high performance and cost-efficient training and inference for natural language processing, computer vision, and recommender engine use cases. G5 instances feature up to 8 NVIDIA A10G Tensor Core GPUs and 2nd generation AMD EPYC processors. They also support up to 192 vCPUs, up to 100 Gbps of network bandwidth, and up to 7.6 TB of local NVMe SSD storage. With eight G5 instance sizes that offer access to single or multiple GPUs, customers have the flexibility to pick the right instance size for their applications.
Customers can easily optimize G5 instances for their workloads with NVIDIA drivers specific to compute, gaming or workstation workloads. Customers can purchase G5 instances as On-Demand Instances or Reserved Instances.
Categories: marketing:marchitecture/artificial-intelligence,general:products/amazon-ec2,marketing:marchitecture/compute
Source: Amazon Web Services
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