NVIDIA DGX Cloud Lepton vs Together AI

Side-by-side comparison of NVIDIA DGX Cloud Lepton and Together AI: pricing, features, API access, and community ratings.

AI comparison summary

TL;DR: NVIDIA DGX Cloud Lepton offers access to premium DGX-class hardware (Blackwell, Hopper) with a focus on the complete ML lifecycle, while Together AI emphasizes inference speed (claiming 31%+ faster TPS) and cost optimization (60% reduction) through proprietary research like FlashAttention. Together AI provides a freemium tier and broader deployment flexibility with serverless options, whereas DGX Cloud is paid-only but may appeal to teams prioritizing NVIDIA's enterprise-grade infrastructure. Choose Together AI for speed/cost optimization with open-source models, or DGX Cloud for premium hardware access and unified infrastructure management.

NVIDIA DGX Cloud Lepton
NVIDIA DGX Cloud Lepton

Connect developers to a global network of GPU compute for building and deploying AI

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Together AI
Together AI

The AI Native Cloud — full-stack platform for inference, compute, and model shaping

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Category
AI infrastructure
AI infrastructure
Pricing
Paid
Freemium
Starting price
Free tier
Audience
Technical
Technical
API available
Open source
Self-hostable
Model provider
NVIDIA
Open-source models (e.g., DeepSeek, Gemma, Llama, Qwen, GLM, MiniMax, Kimi)
Founded
2022
Headquarters
Santa Clara, USA
San Francisco, USA
Key strengths
  • ·Global GPU compute network unification
  • ·Designed for AI-native teams and model builders
  • ·Powered by NVIDIA DGX-class hardware (Blackwell, Hopper)
  • ·Supports full ML lifecycle: build, train, deploy
  • ·Industry-leading inference speed (31%+ more TPS than next-fastest OSS engine)
  • ·Full-stack platform: inference, compute, fine-tuning, storage, and sandboxes
  • ·Cutting-edge in-house research (FlashAttention, ThunderKittens, ATLAS)
  • ·Broad open-source model library with serverless and dedicated deployment options