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CloudGPU vs Together AI: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2022
Headquarters
San Francisco, CA
Billing model
On-demand (per-minute)
Per-token (inference), On-demand / Reserved (GPU cloud)
Min commitment
None
None
Support tier
Community
Community → Enterprise
Regions
1 regions
2 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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Together AI

Together AI is a full-stack AI platform combining a high-throughput inference API (200+ open-source models), dedicated GPU clusters (H100 SXM, A100), and a managed fine-tuning service. Together MoE optimization cuts costs on large mixture-of-experts models. Function calling and JSON mode across all major models. Fine-tuning: LoRA and full fine-tune for Llama, Mistral, and Qwen. GPU cloud: H100 SXM and A100 clusters for large-scale training. Check api.together.ai/models for current per-token rates.

Strengths
  • 200+ open-source models — wide inference API catalog
  • Llama 4 Scout — competitive frontier-open pricing
  • Together MoE optimization reduces cost on large MoE models
  • Managed fine-tuning: LoRA and full fine-tune for Llama, Mistral, Qwen
  • Function calling and JSON mode across all major models
  • GPU cloud + inference API from one vendor
Weaknesses
  • GPU cloud side less polished than pure-play providers like CoreWeave
  • Inference API latency trails Fireworks and Cerebras on speed benchmarks
  • Enterprise SLAs require custom contracts — not self-serve
Best For
Teams wanting inference API + GPU training from one vendorFine-tuning Llama, Mistral, or Qwen at scaleCost-conscious teams replacing OpenAI with open-source modelsResearchers needing broad model access without self-hosting
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Live GPU Pricing

GPU Model
A100 80GB
$1.59
$8.60

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

Together AI

Full-stack AI platform — 200+ models, GPU cloud, fine-tuning, and Together MoE optimization

AttributeCloudGPUTogether AI
Provider typespecialistspecialist
Billing modelOn-demand (per-minute)Per-token (inference), On-demand / Reserved (GPU cloud)
Min commitmentNoneNone
Regions1 (Global)2 (US-East, US-West)
Support tierCommunityCommunity → Enterprise
Best forDevelopers wanting per-minute billing with no commitment, Teams running Ollama or ComfyUI workloadsTeams wanting inference API + GPU training from one vendor, Fine-tuning Llama, Mistral, or Qwen at scale
Founded / HQ · 2022 · San Francisco, CA