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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
RunPod

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 RunPod when…

  • •You need GPU compute on demand without long-term cloud commitments
  • •You're self-hosting open-source models and need A100/H100 access
  • •You want per-second billing and autoscaling for bursty AI workloads
Field
vLLM
RunPod
Category
LLM Infrastructure
LLM Infrastructure
Type
OSS
SaaS
Free Tier
✓ Yes
✗ No
Plans
—
Serverless: From $0.00014/secPods: From $0.19/hr
Stars
⭐ 32,000
⭐ 1,200
Health
●75 — Active
●65 — Slowing
Trajectory
— not enough data
— not enough data
Synced
today
7 days ago

vLLM

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

RunPod

On-demand serverless GPU cloud (A100, H100, RTX series) with autoscaling and per-second billing. The go-to choice for indie AI developers and teams that need GPU compute without committing to AWS or GCP reserved instances.

vLLM Website ↗GitHub ↗
RunPod Website ↗GitHub ↗

Shared Connections (1)

Modal

Only vLLM (12)

LiteLLMOllamaTogether AILlamaIndexRunPodAxolotlUnslothLlamaFactory

Only RunPod (5)

vLLMllama.cppHuggingFaceLambda LabsBaseten
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