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Modal Review 2026 — Serverless GPU Cloud for AI Inference and Training

Modal is the serverless GPU cloud for AI developers. Run vLLM, Stable Diffusion, and model fine-tuning with Python decorators. Free $30/month credit. No DevOps required.

Modal Review 2026 — Serverless GPU Cloud for AI Inference and Training

Modal lets developers run Python-based workloads in the cloud without managing servers. It provides elastic compute, GPU access, autoscaling, logging, storage, scheduled functions, inference endpoints, training jobs, and isolated Sandboxes for untrusted code.

It is used by AI teams, researchers, and developers building inference services, model-training pipelines, batch workflows, coding agents, and data-processing applications. Usage is metered by compute and storage; paid plans add workspace fees and higher limits.

Features

  • Deploy and autoscale LLM, audio, image, and video inference
  • Run fine-tuning, reinforcement learning, and multi-node training jobs
  • Execute batch and asynchronous workloads across GPUs
  • Create isolated, ephemeral Sandboxes for untrusted code
  • Define cloud applications and infrastructure in Python
  • Use persistent Volumes, distributed queues, dictionaries, and Secrets
  • Monitor functions, containers, and Sandboxes with logs and metrics
  • Deploy applications through the Modal CLI and SDK

Use cases

  • Deploy an autoscaling LLM inference API
  • Fine-tune open-source models on rented GPUs
  • Run large batch transcription or embedding jobs
  • Execute coding agents in isolated cloud Sandboxes
  • Launch parallel reinforcement-learning environments
  • Process scientific or computational-biology workloads

Pros

    Cons

      Pricing

      Starting price
      $250 + compute / month
      Pricing checked
      2026-09-19

      Starter

      $0 + compute / month

      • $30 / month free compute
      • 3 workspace seats included
      • 100 containers + 10 GPU concurrency
      • Scheduled and Web Functions (limited)
      • Real-time metrics and logs
      • Region selection

      Team

      $250 + compute / month

      • $100 / month free compute
      • Unlimited seats
      • 5000 containers + 50 GPU concurrency
      • Unlimited Scheduled Functions
      • Custom domains
      • Static IP proxy

      Enterprise

      Custom

      • Volume-based discounts
      • Unlimited seats
      • Higher GPU concurrency
      • Embedded ML engineering services
      • Environment-level budgets
      • Support via private Slack
      Official website