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Lyceum vs Vast.ai: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Marketplace
Founded
2023
2017
Headquarters
United States
San Francisco, CA
Billing model
On-demand
Per-second on-demand, Interruptible, Reserved
Min commitment
None
None
Support tier
Standard
Community → Enterprise
Regions
1 regions
4 regions

Strengths & Best For

Lyceum

Lyceum is an academic GPU cloud offering H100 and A100 instances with research-friendly policies, flexible on-demand pricing, and configurations tailored for AI experimentation and academic research teams. Accessible pricing and a focus on the research community make it a practical option for universities and independent researchers who need GPU compute for LLM experimentation and model training without enterprise overhead. A strong choice for academic AI teams that want affordable, flexible GPU access.

Strengths
  • Research-friendly
  • Flexible pricing
  • Academic focus
Weaknesses
  • Very small provider — limited scale
  • No enterprise SLAs
  • Limited documentation and support resources
Best For
Academic researchAI experimentationSmall teams
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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

Lyceum

GPU cloud for researchers

Vast.ai

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

AttributeLyceumVast.ai
Provider typespecialistmarketplace
Billing modelOn-demandPer-second on-demand, Interruptible, Reserved
Min commitmentNoneNone
Regions1 (US)4 (US, EU, APAC, +1)
Support tierStandardCommunity → Enterprise
Best forAcademic research, AI experimentationBudget AI training and fine-tuning, Batch inference on consumer GPUs
Founded / HQ2023 · United States2017 · San Francisco, CA