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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
RunPod
vs
vLLM

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

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
RunPod
vLLM
Category
LLM Infrastructure
LLM Infrastructure
Type
SaaS
OSS
Free Tier
✗ No
✓ Yes
Plans
Serverless: From $0.00014/secPods: From $0.19/hr
—
Stars
⭐ 1,200
⭐ 32,000
Health
●65 — Slowing
●75 — Active
Trajectory
— not enough data
— not enough data
Synced
7 days ago
today

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

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

RunPod Website ↗GitHub ↗
vLLM Website ↗GitHub ↗

Shared Connections (1)

Modal

Only RunPod (5)

vLLMllama.cppHuggingFaceLambda LabsBaseten

Only vLLM (12)

LiteLLMOllamaTogether AILlamaIndexRunPodAxolotlUnslothLlamaFactory
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