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DATASHEET // VAST-AI

Vast.ai

GPU marketplace — rent consumer cards at half the hyperscaler price.

PAIDCLOUD · NO GPUCloud API
Watermark-FreeHobbyist-OKAPI
Visit Vast.aiUPDATED 2026-05-10 · DIRECT LINK
vast.ai/
Vast.ai — preview image
[ EDITORIAL PICK ]

Why we recommend Vast.ai

DERIVED FROM METADATA — NOT SPONSORED
  • No GPU needed

    Runs in the cloud — works the same on a Chromebook as on a workstation.

  • Watermark-free

    Output is clean — you can ship it without scrubbing logos out.

  • Beginner-friendly

    You don't need to read a paper before getting your first result — sensible defaults and a quick install.

[ EVIDENCE NOTE ]

Documentation-led datasheet

This page summarizes upstream documentation, release information, and editorially reviewed catalogue fields. It is not presented as a hands-on benchmark. Verify changing requirements at the official project; report stale data through our corrections channel.

AT-A-GLANCE SIGNALS //

DERIVED FROM THIS PAGE'S DATA
  • Install difficulty
    Click & use

    Runs in the cloud — no local install needed.

  • Hardware comfort
    N/A — cloud

    Runs on the provider’s hardware — your GPU is irrelevant.

  • Ecosystem
    API-first

    Exposes a stable API — you can build on top of it programmatically.

  • Verification
    Recent

    Catalogue entry last updated 67 days ago — re-verification due soon.

[ MORE IN THIS NICHE ]

Other orchestration & apis tools we rate

Three picks across different tradeoffs — so you don't end up with three near-clones of Vast.ai.

LIGHTEST HARDWARE //

OpenAI Whisper

The reference open-source speech-to-text model.

OPEN SOURCE2–10 GB VRAM
BEST FREE OPTION //

vLLM

High-throughput LLM serving for GPUs.

OPEN SOURCE24–80 GB VRAM
TOP QUALITY //

LangGraph

Stateful, cyclic agent graphs for production.

FREEMIUMCPU-CAPABLE

What is Vast.ai?

Vast.ai brokers a marketplace of GPU hosts — community providers, datacenters, and individuals renting out spare consumer cards. Result: 4090s for under $0.40/hr, A100s for under $1/hr, often half what AWS/GCP charge. Trade-off: variable host quality, no managed serverless layer.

Pros & cons

✓ PROS

  • Cheapest GPU rentals available — often half hyperscaler prices
  • Consumer card access (4090, 3090) at scale
  • Bid-based interruptible pricing for batch workloads

– CONS

  • Variable host quality / reliability — read reviews carefully
  • No serverless layer — you manage the container lifetime

What's actually free?

No free tier; pay-per-hour, billed per minute.

Watermark-Free

Alternatives

RunPod

On-demand GPU pods for ComfyUI, vLLM, training.

PAID8–80 GB VRAM
VRAM fit8–80 GB

Modal

Serverless Python for GPU workloads.

FREEMIUM16–80 GB VRAM
VRAM fit16–80 GB