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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

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 competes with
RunPod
vs
Modal

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 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
Field
RunPod
Modal
Category
LLM Infrastructure
LLM Infrastructure
Type
SaaS
SaaS
Free Tier
✗ No
✓ Yes
Plans
Serverless: From $0.00014/secPods: From $0.19/hr
Pay-as-you-go: Per GPU-second
Stars
⭐ 1,200
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Health
●65 — Slowing
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Trajectory
— not enough data
— not enough data
Synced
7 days ago
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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.

Modal

Run Python functions on serverless GPUs with zero infrastructure management. Popular for deploying custom LLM inference and fine-tuning jobs.

RunPod Website ↗GitHub ↗
Modal Website ↗

Shared Connections (1)

vLLM

Only RunPod (5)

llama.cppHuggingFaceLambda LabsBasetenModal

Only Modal (1)

RunPod
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