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BeamvsOblivus

Beam vs Oblivus: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Beam
Oblivus
Provider type
Specialist
Specialist
Founded
2022
2022
Headquarters
New York, NY
Europe
Billing model
Per-second usage
On-demand, Reservations
Min commitment
None
None
Support tier
Standard
Community → Business
Regions
1 regions
2 regions

Strengths & Best For

Beam

Beam is a serverless GPU platform that lets developers deploy AI models and run H100, A100, and T4 compute jobs with automatic scaling and per-second pay-per-use billing — no infrastructure management required. A Python-native SDK (`beam deploy`) and fast cold starts make it easy to build and ship LLM inference APIs, batch ML pipelines, and AI model serving endpoints quickly. Beam handles container builds, GPU provisioning, and scaling automatically. Free tier available. A strong choice for Python-first teams that want serverless GPU infrastructure with predictable, usage-based pricing.

Strengths
  • Python-native SDK — `beam deploy` ships a GPU endpoint in minutes
  • Auto-scaling with fast cold starts — no idle cost
  • Per-second billing — pay only for actual compute time
  • Free tier available for prototyping
  • Handles container builds and GPU provisioning automatically
Weaknesses
  • Less control over underlying infrastructure vs raw VMs
  • Smaller GPU catalog than dedicated cluster providers
  • Not suitable for multi-node distributed training
Best For
Serverless LLM inference APIsBatch ML processing pipelinesPython-first teams wanting zero-ops GPU infrastructureRapid prototyping with free tier
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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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Region Coverage

Beam — 1 regions
US
Oblivus — 2 regions
EUUS

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Provider pages

Beam pricing and specs Oblivus pricing and specs

Key differences

Beam

Serverless GPU infrastructure — Python-native, auto-scaling, per-second billing

Oblivus

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

AttributeBeamOblivus
Provider typespecialistspecialist
Billing modelPer-second usageOn-demand, Reservations
Min commitmentNoneNone
Regions1 (US)2 (EU, US)
Support tierStandardCommunity → Business
Best forServerless LLM inference APIs, Batch ML processing pipelinesCost-sensitive AI training with predictable pricing, Teams wanting dedicated (non-spot) instances
Founded / HQ2022 · New York, NY2022 · Europe