Lightning AI
Use when the team already lives in Lightning/PyTorch notebooks. Together/Unsloth remain Depot finetune…
Use when the team already lives in Lightning/PyTorch notebooks. Together/Unsloth remain Depot finetune defaults; Modal for Python serverless agents. Strengths: Fastest path from notebook → multi-GPU train for Lightning/PyTorch users; Public GPU-hour card including H100; Studios + jobs + inference in one DX.
Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.
Use when the team already lives in Lightning/PyTorch notebooks. Together/Unsloth remain Depot finetune defaults; Modal for Python serverless agents.
Strengths
- · Fastest path from notebook → multi-GPU train for Lightning/PyTorch users
- · Public GPU-hour card including H100
- · Studios + jobs + inference in one DX
Weaknesses
- · H100 ~$4.50/hr is not a neocloud bargain vs Nebius/RunPod
- · Seat vs GPU-hour packaging is easy to double-pay
- · Less agent-sandbox DX than Modal
Pricing notes
As of 2026-09-14 (lightning.ai/pricing): Studio/cloud GPU hours on a public card — H100 New 80GB ~$4.50/hr on-demand (interruptible lower, ~$3.82–$4.58 class); T4/L4/A100 families also listed. Free Studio + credits to start. Team/seat SKUs (Pro/Teams) sit beside GPU-hour billing — confirm console. PyTorch Lightning / Fabric heritage.
Sourced pricing
Contract status unavailable · no_sourced_price. Single normalized $/1M: null. Machine list: /api/pricing?provider=lightning-ai
No sourced SKU row. Notes above stay prose.
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