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BeamvsSpheron

Beam vs Spheron: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Beam
Spheron
Provider type
Specialist
Marketplace
Founded
2022
2022
Headquarters
New York, NY
United States
Billing model
Per-second usage
On-demand (per-minute), Spot, Reserved
Min commitment
None
20-minute minimum runtime
Support tier
Standard
Community → Standard
Regions
1 regions
3 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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Spheron

Spheron is a GPU marketplace sourcing from certified data center partners globally. GPU catalog: B300 Blackwell, B200 Blackwell, H200, H100, MI300X, GH200, A100, RTX PRO 6000, RTX 5090, L40S, RTX 4090 — on-demand and spot. GB200 and GB300 available to reserve. NVIDIA R100 Rubin (288 GB HBM4) pre-order. Per-minute billing, 20-minute minimum. Accepts USDT/USDC.

Strengths
  • B300, H100, RTX 4090 — competitive live pricing
  • Spot pricing available on H200, H100, A100
  • MI300X — AMD high-VRAM option
  • NVIDIA R100 Rubin pre-order available
  • Per-minute billing, 20-minute minimum, no contracts
  • Accepts USDT and USDC crypto payments
Weaknesses
  • Marketplace model — hardware consistency varies by partner
  • 20-minute minimum runtime (not per-second)
  • No enterprise SLAs
Best For
Cost-sensitive AI workloads needing multi-provider flexibilityTeams wanting vetted marketplace GPU accessSpot-tolerant batch training and inferenceCrypto-native teams
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Live GPU Pricing

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Region Coverage

Beam — 1 regions
US
Spheron — 3 regions
USEUAPAC

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Provider pages

Beam pricing and specs Spheron pricing and specs

Key differences

Beam

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

Spheron

B300, H100, B200, H200 — per-minute billing, 20-min minimum

AttributeBeamSpheron
Provider typespecialistmarketplace
Billing modelPer-second usageOn-demand (per-minute), Spot, Reserved
Min commitmentNone20-minute minimum runtime
Regions1 (US)3 (US, EU, APAC)
Support tierStandardCommunity → Standard
Best forServerless LLM inference APIs, Batch ML processing pipelinesCost-sensitive AI workloads needing multi-provider flexibility, Teams wanting vetted marketplace GPU access
Founded / HQ2022 · New York, NY2022 · United States