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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

Budget

Use case

Stage

Cluster

Stack Layers
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
vLLM
vs
Predibase

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

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
Field
vLLM
Predibase
Category
LLM Infrastructure
Fine-tuning
Type
OSS
SaaS
Free Tier
✓ Yes
✓ Yes
Plans
—
Developer: Usage-basedEnterprise: Custom
Stars
⭐ 32,000
—
Health
●75 — Active
—
Trajectory
— not enough data
— not enough data
Synced
today
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vLLM

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

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 Website ↗GitHub ↗
Predibase Website ↗

Shared Connections (1)

Unsloth

Only vLLM (12)

LiteLLMOllamaTogether AILlamaIndexModalRunPodAxolotlLlamaFactory

Only Predibase (1)

vLLM
See full comparison in Explore →