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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

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Use case

Stage

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What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools integrates with
Predibase
vs
vLLM

Choose Predibase when…

  • •You want managed fine-tuning without running your own GPU infrastructure
  • •You need to serve many LoRA adapters efficiently on shared base models
  • •You're moving from experimentation to production fine-tuning

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
Field
Predibase
vLLM
Category
Fine-tuning
LLM Infrastructure
Type
SaaS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
Developer: Usage-basedEnterprise: Custom
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Stars
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⭐ 32,000
Health
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●75 — Active
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Predibase

Commercial platform for fine-tuning and serving open-source LLMs. Specializes in LoRA adapter training with serverless serving. Built by the creators of Ludwig and LoRAX.

vLLM

Production-grade LLM inference server. PagedAttention enables high throughput and efficient KV cache memory management.

Predibase Website ↗
vLLM Website ↗GitHub ↗

Shared Connections (1)

Unsloth

Only Predibase (1)

vLLM

Only vLLM (12)

LiteLLMOllamaTogether AILlamaIndexModalRunPodAxolotlLlamaFactory
See full comparison in Explore →