These tools often paired with
ModalvsvLLM
Cloud platform for GPU inference and training versus High-throughput LLM serving with PagedAttention
Compare interactively in Explore →Choose Modal when…
- •You want serverless GPU compute for AI workloads
- •You're running batch inference or training jobs
- •You want to scale to zero and pay per second
Choose vLLM when…
- •You're serving LLMs at high throughput in production
- •Continuous batching and PagedAttention are needed
- •You're running your own GPU inference cluster
Side-by-side comparison
Field
Modal
vLLM
Category
LLM Infrastructure
LLM Infrastructure
Type
Commercial
Open Source
Free Tier
✓ Yes
✓ Yes
Pricing Plans
Pay-as-you-go: Per GPU-second
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GitHub Stars
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⭐ 32,000
Health
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●75 — Active
Modal
Run Python functions on serverless GPUs with zero infrastructure management. Popular for deploying custom LLM inference and fine-tuning jobs.
Shared Connections1 tools both integrate with
Only Modal (1)
vLLM
Only vLLM (12)
LiteLLMTogether AILlamaIndexModalOllamaAxolotlUnslothLlamaFactoryTorchtunePredibase
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See how Modal and vLLM fit into the bigger picture — 207 tools, 452 relationships, all mapped.