Today, AWS announces the general availability of Amazon Elastic Compute Cloud (Amazon EC2) G7 instances, accelerated by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs. G7 instances deliver up to 4.6x AI inference performance and up to 2.1x graphics performance compared to G6.
You can use G7 instances for AI inference workloads such as language translation, video and image analysis, speech recognition, and recommender systems. Additionally, G7 instances also accelerate graphics workloads such as creating and rendering real-time, cinematic-quality graphics, and game streaming, as well as data analytics workloads such as large-scale data processing pipelines. G7 instances feature up to 8 NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs with 32 GB of memory per GPU, custom Intel Xeon 6 processors, and up to 700 Gbps of Elastic Fabric Adapter (EFA) networking bandwidth.
You can start using Amazon EC2 G7 instances today in two AWS Regions: US East (Ohio) and US West (Oregon). You can purchase G7 instances as On-Demand Instances, as part of Savings Plans, or Spot Instances.
To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit this blog post and the G7 instance page.
Categories: marketing:marchitecture/compute,marketing:marchitecture/artificial-intelligence,general:products/amazon-ec2
Source: Amazon Web Services
Latest Posts
- Amazon MSK Express brokers now support Intelligent Rebalancing on existing clusters

- Announcing the general availability of a new AWS Local Zone in Hanoi, Vietnam

- AWS Compute Optimizer enhances EBS volume recommendations with additional performance metrics

- (Updated) Use sensitivity labels to block all connected experiences that analyze content in Word, Excel, and PowerPoint [MC1297982]
![(Updated) Use sensitivity labels to block all connected experiences that analyze content in Word, Excel, and PowerPoint [MC1297982] 5 pexels pixabay 208821](data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==)




![(Updated) Use sensitivity labels to block all connected experiences that analyze content in Word, Excel, and PowerPoint [MC1297982] 5 pexels pixabay 208821](https://mwpro.co.uk/wp-content/uploads/2024/08/pexels-pixabay-208821-150x150.webp)
