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CloudGPU vs Novita: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2023
Headquarters
San Francisco, CA
Billing model
On-demand (per-minute)
Per-token (inference), On-demand / Spot (GPU cloud)
Min commitment
None
None
Support tier
Community
Community → Enterprise
Regions
1 regions
3 regions

Strengths & Best For

CloudGPU

CloudGPU rents on-demand GPUs billed per minute, with root SSH access and templates for Ollama, JupyterLab, ComfyUI and LLaMA-Factory. Prices come from CloudGPU's public price feed.

Strengths
  • Per-minute billing — pay only for what you use
  • Root SSH access on every instance
  • Ready-to-use templates: Ollama, JupyterLab, ComfyUI, LLaMA-Factory
  • Wide consumer and data-center GPU selection
Weaknesses
  • Smaller provider — limited scale vs hyperscalers
  • No enterprise SLAs or compliance certifications
  • Region information not published per instance
Best For
Developers wanting per-minute billing with no commitmentTeams running Ollama or ComfyUI workloadsCost-sensitive inference and fine-tuning
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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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Novita Rating

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Live GPU Pricing

GPU Model
Novita /hr
RTX 3090
$0.29
$0.28
RTX 4090
$0.39
$0.62
A100 80GB
$1.59
$1.01

Green = lower price. On-demand hourly rates. Updated every 15 minutes.

Region Coverage

Popular Comparisons

Key differences

CloudGPU

On-demand GPUs billed per minute — RTX 3090 to A100, root SSH, Ollama and ComfyUI templates

Novita

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

AttributeCloudGPUNovita
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)Per-token (inference), On-demand / Spot (GPU cloud)
Min commitmentNoneNone
Regions1 (Global)3 (US, EU, APAC)
Support tierCommunityCommunity → Enterprise
Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsCost-optimized LLM inference at scale, Startups needing cheap inference API + GPU training from one vendor
Founded / HQ · 2023 · San Francisco, CA