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Jarvis Labs vs Vast.ai: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Jarvis Labs and Vast.ai. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Marketplace
Founded
2020
2017
Headquarters
San Francisco, CA
San Francisco, CA
Billing model
On-demand (per-second)
Per-second on-demand, Interruptible, Reserved
Min commitment
None
None
Support tier
Community → Pro
Community → Enterprise
Regions
2 regions
4 regions

Strengths & Best For

Jarvis Labs

Jarvis Labs is an ML-focused GPU cloud offering H100, A100, and RTX instances with per-second billing, pre-configured environments for PyTorch, TensorFlow, and other popular frameworks, and a simple interface designed for machine learning engineers. On-demand GPU rental with no minimum commitment makes it easy to spin up and tear down instances for training runs, fine-tuning, and AI inference experiments. A popular choice for ML engineers who want pre-built environments and granular per-second billing.

Strengths
  • Per-second billing — no minimum commitment
  • Pre-configured PyTorch/TensorFlow environments
  • Simple UI designed for ML engineers
  • Fast provisioning
Weaknesses
  • Small provider — limited GPU availability at scale
  • No enterprise SLAs
  • Limited regions and GPU SKU variety
Best For
ML engineers wanting pre-built environmentsNotebook-based training workflowsTeams wanting per-second billing on GPU instances
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Vast.ai

Vast.ai is a GPU marketplace where prices are set by supply and demand across 40+ data centers. 68+ GPU types spanning Blackwell, Hopper, Ada Lovelace, Ampere, Turing, Volta, Pascal — from B300 and H200 down to RTX 3090. Three pricing tiers: On-Demand (higher availability), Interruptible (lower cost, interruptible), Reserved (committed pricing). Per-second billing, no lock-in. SOC 2 certified. Check the live table for current rates.

Strengths
  • B300, H200, H100 — competitive frontier pricing on marketplace rates
  • RTX 5090, RTX 4090 — consumer GPU inference at marketplace rates
  • 68+ GPU types from RTX 3060 to B300 — wide selection
  • Per-second billing, no minimum hours, no lock-in
  • Interruptible tier: lower cost than on-demand
  • SOC 2 certified
Weaknesses
  • Marketplace model — hardware quality and reliability varies by host
  • No enterprise SLAs or uptime guarantees
  • Interruptible instances can be reclaimed at any time
Best For
Budget AI training and fine-tuningBatch inference on consumer GPUsTeams needing maximum GPU varietyResearchers avoiding waitlists and quotas
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Live GPU Pricing

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Region Coverage

Vast.ai — 4 regions
USEUAPACVarious (40+ data centers)

Popular Comparisons

Key differences

Jarvis Labs

ML-focused GPU cloud with per-second billing and pre-configured environments

Vast.ai

B300, H200, RTX 5090 — 68+ GPU types, per-second billing

AttributeJarvis LabsVast.ai
Provider typespecialistmarketplace
Billing modelOn-demand (per-second)Per-second on-demand, Interruptible, Reserved
Min commitmentNoneNone
Regions2 (US, EU)4 (US, EU, APAC, +1)
Support tierCommunity → ProCommunity → Enterprise
Best forML engineers wanting pre-built environments, Notebook-based training workflowsBudget AI training and fine-tuning, Batch inference on consumer GPUs
Founded / HQ2020 · San Francisco, CA2017 · San Francisco, CA