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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 competes with
RunPod
vs
Baseten

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 Baseten when…

  • •serving custom fine-tuned models in production
  • •need guaranteed GPU capacity and reserved instances
  • •want model endpoints with auto-scaling and zero cold starts
Field
RunPod
Baseten
Category
LLM Infrastructure
LLM Infrastructure
Type
SaaS
SaaS
Free Tier
✗ No
✗ No
Plans
Serverless: From $0.00014/secPods: From $0.19/hr
Pay-as-you-go: Per GPU-secondEnterprise: Custom
Stars
⭐ 1,200
—
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.

Baseten

Baseten lets you deploy custom and fine-tuned models as scalable inference APIs with minimal DevOps overhead. It handles GPU provisioning, auto-scaling, and traffic management, making it ideal for teams that need custom model serving beyond off-the-shelf providers.

RunPod Website ↗GitHub ↗
Baseten Website ↗

Only RunPod (6)

vLLMllama.cppHuggingFaceLambda LabsBasetenModal

Only Baseten (2)

RunPodFal.ai
See full comparison in Explore →