The 9 Best Infrastructure Platforms for Running Agentic Workloads in 2026

Agentic workloads in 2026 typically require a combination of specialized infrastructure rather than a single platform, spanning sandboxed execution for model-generated code, GPU or serverless inference, durable orchestration for long-running tasks, and application and data hosting. E2B and Daytona are positioned for disposable microVM-based sandboxes, Modal for bursty GPU and batch workloads, Trigger.dev, LangGraph Platform, and Temporal for resumable workflows, and Qovery, Northflank, Fly.io, and TrueFoundry for hosting agent services, workers, databases, and related infrastructure. Platform selection depends chiefly on whether agents execute untrusted code, need to survive failures during multi-step runs, require GPUs, or must keep prompts and data inside a company’s cloud account for security, residency, and private-network access. The comparison emphasizes that generated code should run in isolated sandboxes rather than application containers, while enterprise agents that primarily access internal systems may benefit more from bring-your-own-cloud or Kubernetes-based hosting. It also identifies model-token consumption and idle waiting time as larger cost drivers than CPU efficiency, recommending prompt caching, scale-to-zero capacity, spot instances for retryable work, automatic shutdown of nonproduction environments, and hard limits on agent steps and token budgets.

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