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Lyceum vs Oblivus: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Provider type
Specialist
Specialist
Founded
2023
2022
Headquarters
United States
Europe
Billing model
On-demand
On-demand, Reservations
Min commitment
None
None
Support tier
Standard
Community → Business
Regions
1 regions
2 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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Oblivus

Oblivus is a GPU cloud offering H200, H100 SXM5, H100 NVLink, H100 PCIe, A100 NVLink, A100 PCIe, L40, RTX 4090, and RTX A6000 instances with transparent all-in pricing (vCPUs, RAM, and storage included). Reservation pricing available for H100 SXM5. Price is locked at deployment — if prices decrease, you benefit; if they increase, your rate stays unchanged. RTX 5090 now available on demand. No spot instances — dedicated instances only.

Strengths
  • Price locked at deployment — protected from future price increases
  • All-in pricing: vCPUs, RAM, storage included — no hidden fees
  • H200, H100 SXM5, A100 — competitive dedicated pricing
  • RTX 5090 now available on demand
  • Dedicated instances only — no noisy-neighbor effects
  • Free data ingress and egress
Weaknesses
  • No spot instances — dedicated only (higher minimum cost)
  • Smaller provider — limited scale vs hyperscalers
  • Limited documentation and support resources
Best For
Cost-sensitive AI training with predictable pricingTeams wanting dedicated (non-spot) instancesBudget H100 and A100 workloadsEuropean startups and researchers
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Key differences

Lyceum

GPU cloud for researchers

Oblivus

H200, H100 SXM, A100, RTX 4090 — price locked at deployment

AttributeLyceumOblivus
Provider typespecialistspecialist
Billing modelOn-demandOn-demand, Reservations
Min commitmentNoneNone
Regions1 (US)2 (EU, US)
Support tierStandardCommunity → Business
Best forAcademic research, AI experimentationCost-sensitive AI training with predictable pricing, Teams wanting dedicated (non-spot) instances
Founded / HQ2023 · United States2022 · Europe