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lium.io vs Modal

Modal offers serverless GPU workloads with a managed platform, while Lium focuses on raw GPU pod rentals and per-second billing.

Which to pick

Pick lium.io if you want…

  • Usage-based GPU rentals for AI workloads
  • Open-source code (Datura-ai/lium on GitHub, MIT license)
  • Integrations with CLI or SDK (on lium.io's list, not Modal's)

Pick Modal if you want…

  • Serverless GPU-accelerated AI workloads
  • Serverless GPU compute for Python
  • A free plan to start with (Starter)
  • Integrations with Python or GCP Marketplace (on Modal's list, not lium.io's)

Side by side

What it is
lium.io:lium.io provides on-demand GPU rentals via web, CLI, SDK or API with per-second billing.
Modal:Modal provides serverless cloud infrastructure for building, training, and serving Python AI workloads with on-demand GPU and CPU compute.
Best for
lium.io:Usage-based GPU rentals for AI workloads
Modal:Serverless GPU-accelerated AI workloads
Who it’s for
lium.io:Developers and AI agents needing scalable GPU compute on demand.
Modal:AI engineers and data scientists building scalable Python models and pipelines
Pricing
lium.io:Paid
Modal:Freemium
Plans
lium.io:—
Modal:Starter $0 + compute · Team $250 + compute
Open source
lium.io:Yes, 7 GitHub stars
Modal:—
Works with
lium.io:CLI, SDK
Modal:Python, GCP Marketplace

lium.io features

  • Per-second billing. Pay only for the exact seconds a GPU pod runs, with no minimum reservation.
  • Wide GPU catalog. Choose from 92 GPU models ranging from consumer RTX cards to data-center H100s.
  • CLI/SDK/API access. Spin up, manage and terminate pods programmatically via pip install, CLI commands or SDK.
  • Transparent pricing API. Access live pricing and node lists as JSON without an account.
  • Provider revenue share. Providers keep 95 % of rental revenue plus bonuses.

Modal features

  • Pay-per-second billing. Charges only for actual CPU, GPU, memory, and network usage, billed by the second.
  • Instant autoscaling. Containers spin up/down in 1-2 seconds based on request volume.
  • GPU-focused compute. Supports a range of Nvidia GPUs (A100, H100, RTX PRO 6000, etc.) with per-second pricing.
  • Python-first containers. Deploy any containerized Python app, ideal for inference, training, and data pipelines.
  • Integrated notebooks & sandboxes. Serverless notebooks and sandboxes that burst resources only when needed.
  • Enterprise features. Custom domains, static IP proxy, RBAC, SSO, audit logs, and HIPAA compliance.

lium.io vs Modal FAQ

Is lium.io or Modal free?+

lium.io is paid. Modal has a free plan (Starter) and paid plans.

Is lium.io or Modal open source?+

lium.io is open source (Datura-ai/lium on GitHub, MIT license). DevHunt has no public source repository on record for Modal.

Do lium.io and Modal integrate with the same tools?+

Their integration lists don't overlap: lium.io lists CLI and SDK; Modal lists Python and GCP Marketplace.

On DevHunt

lium.io

1 upvote · Launching on DevHunt on Oct 27, 2026

Based on each tool's website and DevHunt data. Details may change; check the official sites.