Workload Utilization Metrics

Draft

Motivation

Tenants/ users of Akash expect to be able to see what amount of allocated resources are being used by their workloads so that they can better manage peak load and also optimize cost/ spend

Summary

This AEP will likely require building the necessary contructs (metrics server/ agent) for collecting utilization metrics from the tenant containers and reporting them through an API that can be quried and graphed for display in clients like Console. The metrics collected initially will likely be GPU (VRAM), CPU, Memeory and Storage.

Estimated completion: 7/15/2026

Created: 12/1/2024

Last Updated: 7/30/2025

Category: Interface

Status: Draft

Authors:

Anil Murty
Artur Troian

View next aep

Hardware Verification using Trusted Execution

Completion Date: 7/17/2026

Currently, hardware provided by a provider is verified using a decentralized network of Auditors on Akash. While this approach is practical for a limited set of providers, the manual verification is proving challenging at scale, even more critical when incentives go onchain and are distributed without a human in the loop. Hardware Verification using Trusted Execution minimizes trust required to verify the accuracy of hardware provided by the providers on Akash network and serves as a fundamental building block for enabling Confidential Computing capabilities, as detailed in AEP-65.