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

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

Overview

Provider type
Specialist
Specialist
Founded
1999
2022
Headquarters
Roubaix, France
San Francisco, CA
Billing model
On-demand, Reserved, Savings Plan
Per-token (inference), On-demand / Reserved (GPU cloud)
Min commitment
None
None
Support tier
Basic → Enterprise
Community → Enterprise
Regions
4 regions
2 regions

Strengths & Best For

OVHcloud

OVHcloud is a French GPU cloud offering H200, H100, L40S, L4, A10, V100S, and Quadro RTX 5000 instances with EU data sovereignty, GDPR compliance, and 99.99% monthly SLA. AI Endpoints (serverless inference): Base API (no commitment), Batch API (most economical), and Model Catalogue (free trials). AI Notebooks, AI Training, and AI Deploy services. Free credit for new Public Cloud projects — check ovhcloud.com for current offer. ISO27001, SOC, and health data certifications. Founded 1999 — one of Europe's largest cloud providers.

Strengths
  • H100 and L40S — competitive EU pricing
  • AI Endpoints: serverless inference with Base, Batch, and Model Catalogue tiers
  • Free credit for new Public Cloud projects
  • EU data sovereignty and GDPR compliance — 99.99% SLA
  • ISO27001, SOC, health data certifications
  • One of Europe's largest cloud providers (founded 1999)
Weaknesses
  • Complex product lineup can be confusing
  • Support quality varies by tier
  • Limited ML-specific tooling vs specialist providers
Best For
EU-based AI teams needing GDPR complianceCost-conscious European enterprisesTeams wanting European alternative to US hyperscalersServerless inference via AI Endpoints
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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

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Region Coverage

OVHcloud — 4 regions
EU-WestEU-CentralUSAPAC

Popular Comparisons

Key differences

OVHcloud

H200, H100, L40S — EU sovereign cloud, 99.99% SLA

Together AI

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

AttributeOVHcloudTogether AI
Provider typespecialistspecialist
Billing modelOn-demand, Reserved, Savings PlanPer-token (inference), On-demand / Reserved (GPU cloud)
Min commitmentNoneNone
Regions4 (EU-West, EU-Central, US, +1)2 (US-East, US-West)
Support tierBasic → EnterpriseCommunity → Enterprise
Best forEU-based AI teams needing GDPR compliance, Cost-conscious European enterprisesTeams wanting inference API + GPU training from one vendor, Fine-tuning Llama, Mistral, or Qwen at scale
Founded / HQ1999 · Roubaix, France2022 · San Francisco, CA