Compute Comparison
vs
All providers →
BeamvsContabo

Beam vs Contabo: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Beam
Contabo
Provider type
Specialist
Specialist
Founded
2022
2003
Headquarters
New York, NY
Munich, Germany
Billing model
Per-second usage
Monthly, On-demand
Min commitment
None
None
Support tier
Standard
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
Visit Beam
Beam Rating

No reviews yet — add yours ↗

Contabo

Contabo is a German budget cloud provider offering VPS and dedicated servers with unusually high core counts and RAM at very competitive prices, making it popular for CPU-intensive workloads and teams that need large amounts of RAM without paying hyperscaler rates. While not a dedicated GPU cloud, Contabo offers some GPU-enabled VPS configurations for teams that need affordable compute with GPU access at budget pricing.

Strengths
  • Very competitive pricing on VPS and dedicated servers
  • High core counts and RAM at budget prices
  • German infrastructure with EU data residency
  • Long track record since 2003
Weaknesses
  • Limited GPU catalog — primarily CPU-focused
  • Support quality varies
  • Less suitable for GPU-intensive AI workloads
Best For
Budget-conscious teams needing high RAM or core countsCPU-intensive workloads at low costEU teams wanting affordable dedicated servers
Visit Contabo
Contabo Rating

No reviews yet — add yours ↗

Live GPU Pricing

Live prices load below.

Region Coverage

Beam — 1 regions
US
Contabo — 3 regions
EU-CentralUSAPAC

Popular Comparisons

AWSvsGoogle Cloud
AWSvsAzure
Google CloudvsAzure
AWSvsOracle Cloud
Lambda LabsvsRunPod
Lambda LabsvsCoreWeave
CoreWeavevsRunPod
RunPodvsVast.ai

Provider pages

Beam pricing and specs Contabo pricing and specs

Key differences

Beam

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

Contabo

Budget VPS and dedicated servers with high core and RAM counts

AttributeBeamContabo
Provider typespecialistspecialist
Billing modelPer-second usageMonthly, On-demand
Min commitmentNoneNone
Regions1 (US)3 (EU-Central, US, APAC)
Support tierStandardStandard
Best forServerless LLM inference APIs, Batch ML processing pipelinesBudget-conscious teams needing high RAM or core counts, CPU-intensive workloads at low cost
Founded / HQ2022 · New York, NY2003 · Munich, Germany