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Contabo vs Novita: Pricing, Specs, Strengths & Weaknesses

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

Overview

Attribute
Contabo
Novita
Provider type
Specialist
Specialist
Founded
2003
2023
Headquarters
Munich, Germany
San Francisco, CA
Billing model
Monthly, On-demand
Per-token (inference), On-demand / Spot (GPU cloud)
Min commitment
None
None
Support tier
Standard
Community → Enterprise
Regions
3 regions
3 regions

Strengths & Best For

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
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Novita

Novita has grown into a dual-product platform: a GPU cloud for training and fine-tuning (H100 SXM, A100, RTX 4090) and a high-volume LLM inference API serving 100+ open-source models at some of the lowest per-token rates in the market. In 2025–2026 Novita expanded its model catalog to include Llama 3.1/3.2, Qwen 2.5, DeepSeek V3/R1, and Mistral variants, and introduced batch inference pricing for high-volume workloads at up to 50% discount. The GPU cloud side offers fast provisioning (typically under 3 minutes), pre-built Docker environments for PyTorch and JAX, and persistent storage volumes. A practical choice for cost-conscious teams that want both raw GPU access and a cheap inference API from one provider.

Strengths
  • Among the lowest per-token LLM inference pricing in the market
  • Batch inference API at up to 50% discount for high-volume workloads
  • 100+ open-source models including Llama 3.2, Qwen 2.5, DeepSeek R1
  • Fast GPU provisioning — typically under 3 minutes
  • Pre-built PyTorch and JAX environments reduce setup time
Weaknesses
  • Smaller provider — cluster scale limited vs CoreWeave or Lambda for very large jobs
  • Inference API latency trails Fireworks and Cerebras on speed benchmarks
  • Less mature enterprise support and SLA options
Best For
Cost-optimized LLM inference at scaleStartups needing cheap inference API + GPU training from one vendorBatch processing workloads with high token volumesTeams fine-tuning Llama or Qwen on a budget
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Region Coverage

Contabo — 3 regions
EU-CentralUSAPAC
Novita — 3 regions
USEUAPAC

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Provider pages

Contabo pricing and specs Novita pricing and specs

Key differences

Contabo

Budget VPS and dedicated servers with high core and RAM counts

Novita

GPU cloud and LLM inference API — H100, A100, and 100+ open-source models

AttributeContaboNovita
Provider typespecialistspecialist
Billing modelMonthly, On-demandPer-token (inference), On-demand / Spot (GPU cloud)
Min commitmentNoneNone
Regions3 (EU-Central, US, APAC)3 (US, EU, APAC)
Support tierStandardCommunity → Enterprise
Best forBudget-conscious teams needing high RAM or core counts, CPU-intensive workloads at low costCost-optimized LLM inference at scale, Startups needing cheap inference API + GPU training from one vendor
Founded / HQ2003 · Munich, Germany2023 · San Francisco, CA