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Ori Cloud vs Together AI: Pricing, Specs, Strengths & Weaknesses

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

Overview

Provider type
Specialist
Specialist
Founded
2021
2022
Headquarters
London, UK
San Francisco, CA
Billing model
Enterprise contracts (contact sales)
Per-token (inference), On-demand / Reserved (GPU cloud)
Min commitment
Enterprise minimum
None
Support tier
Enterprise
Community → Enterprise
Regions
3 regions
2 regions

Strengths & Best For

Ori Cloud

Ori Industries merged with Brookfield's AI infrastructure capabilities to form Radiant, the first fully integrated AI infrastructure platform. Ori's technology, team, and cloud platform continue under the Radiant brand. Radiant offers NVIDIA Vera Rubin NVL72, Blackwell B200, H200, H100, and AMD MI300X/MI355X GPU compute with managed Kubernetes, managed Slurm, and fault-tolerant AutoClusters. Backed by Brookfield with $100B+ in deployable capital and 5 GW+ of live powered land globally. FlightDeck provides unified observability and operations. Serverless Kubernetes, inference, fine-tuning, and model registry. Renewable energy mix including hydro, wind, geothermal, biomass, and natural gas. Ori founder Mahdi Yahya serves as President of Radiant.

Strengths
  • Brookfield-backed with $100B+ deployable capital and 5 GW+ powered land
  • Vera Rubin NVL72 and Blackwell B200/H200/H100 in catalog
  • FlightDeck: unified observability and operations platform
  • Managed Kubernetes, Slurm, and fault-tolerant AutoClusters
  • Renewable energy mix: hydro, wind, geothermal, biomass, and natural gas
  • Sovereign AI solutions for national deployments
Weaknesses
  • Sales-led process — no self-serve on-demand pricing
  • Primarily enterprise/government focus
  • Fewer self-service features vs RunPod or Vast.ai
Best For
Hyperscale AI training at gigawatt scaleEnterprise and sovereign AI deploymentsTeams wanting vertically-integrated AI factory infrastructureOrganizations needing managed Kubernetes and Slurm
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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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Region Coverage

Ori Cloud — 3 regions
EU-WestUSEU-North (Norway)

Popular Comparisons

Key differences

Ori Cloud

Now Radiant — Brookfield-backed AI factory platform with Vera Rubin, Blackwell, and 5 GW capacity

Together AI

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

AttributeOri CloudTogether AI
Provider typespecialistspecialist
Billing modelEnterprise contracts (contact sales)Per-token (inference), On-demand / Reserved (GPU cloud)
Min commitmentEnterprise minimumNone
Regions3 (EU-West, US, EU-North (Norway))2 (US-East, US-West)
Support tierEnterpriseCommunity → Enterprise
Best forHyperscale AI training at gigawatt scale, Enterprise and sovereign AI deploymentsTeams wanting inference API + GPU training from one vendor, Fine-tuning Llama, Mistral, or Qwen at scale
Founded / HQ2021 · London, UK2022 · San Francisco, CA