Release
Expensive accelerators, no workload-level visibility: Introducing Amazon CloudWatch accelerated compute insights
The New Stack · By Sabari Sawant ·
The Brief
- Amazon CloudWatch has introduced accelerated compute insights, a feature aimed at giving visibility into accelerator (GPU) usage at the workload level.
- The announcement is framed around rising accelerator costs and limited visibility into how training clusters use them.
- Source excerpt is limited; specific capabilities, pricing and availability are not stated in the provided text.
Why it matters
Teams running GPU or other accelerator workloads on AWS may be able to attribute accelerator spend and usage to individual workloads rather than only at the cluster or account level.
Who’s affected
- Teams running GPU or accelerator workloads on AWS
- Platform and FinOps teams managing accelerator spend
- #aws
- #cloudwatch
- #observability
- #gpu
- #accelerators
- #cost-management
Accelerator bills have become one of the largest lines in the infrastructure budget. GPUs have become the most expensive resource in modern computing, and yet most organizations operate them with little visibility. A single training cluster can run for days and cost millions of…
Timeline
The New Stack publishes article introducing Amazon CloudWatch accelerated compute insights
The New Stack
Expensive accelerators, no workload-level visibility: Introducing Amazon CloudWatch accelerated compute insights