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Layer researchInfrastructure and compute

Infrastructure & compute

By Murali SidLinkedInPublished

Status: complete (published 2026-08-19). Scope finalized at Batch A kickoff with maintainer POV; see findings.md and sources.md.

Scope inventory (v0)

  • Current estate: cloud landing zones, multi-cloud and region strategy, Kubernetes, serverless, IaC and GitOps provisioning automation, environment strategy (dev/test/prod parity for agents)
  • Agent execution: sandboxes and isolation (microVMs, containers), browser and computer-use infrastructure, VDI where agents act on desktops, ephemeral cattle environments with lazy provisioning, cold-start and time-to-first-token economics
  • Model serving: GPU and accelerator capacity planning, inference serving for self-hosted and open-weight models, edge inference for OT and remote sites
  • Networking for agents: egress control and allowlists, forward proxies, private connectivity to SaaS and model providers, service mesh
  • Identity and resilience: workload identity for agent compute, infra-level secrets and short-lived credentials, checkpoint and session persistence, crash recovery, DR, quotas and noisy-neighbor controls
  • Cost: resource tagging and showback, autoscaling policy, spot and reserved capacity strategy

Challenged-default candidates

Self-hosted GPU estates vs metered APIs; dedicated agent-sandbox products vs hardened containers. Each track proposes its final list at kickoff.

Files

findings.md and sources.md carry this track's research. The scoping brief and the vendor map were archived on 2026-08-23 (see archive/, decision D038).

Cite this page

Written by Murali Sid, Founder and AI Systems Architect, last updated 18 September 2026. Licensed CC BY-SA 4.0, so quote it freely with attribution.

Murali Sid (2026). Infrastructure & compute. Agentic Architecture Skills. https://www.agenticarchitectureskills.com/library/layers/r01-infrastructure

Machine-readable version of this page: /library/layers/r01-infrastructure.md

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