Ray
No written verdict yet. Here is what commenters said.
5recommend
2warn against
Nov 6, 2025first mention
Oct 2, 2026latest mention
Why people recommend it
“stitched together with Ray autoscaling nodes it can get really nice”
“We wrote up the full Ray architecture we use in production on KubeRay/GKE.”
works at Mixpeekon “We run 20M models in parallel on Ray”
Show 3 more
“have also noticed this pattern in Modal [1] and Ray [2] and all for it.”
“One thing valuable is "Fault Tolerance"”
“https://docs.ray.io/en/latest/”
Caveats and dissent
“The Ray team even rejected Lambda support expressedly as far back as 2020”
“Dask and Ray were also way too slow”
Who recommends it in their own words
From the makers not counted in the ranking
“I have a temporary install available while the Chrome Web Store listing is pending”
Threads where it came up
- Ray Keynote: de-facto for compositional learning and a distributed heterogeneous [video] 2 mentions
- Ask HN: Who is hiring? (October 2026) 1 mention
- Ask HN: What Are You Working On? (July 2026) 1 mention
- item 48090276 1 mention
- We run 20M models in parallel on Ray 1 mention
- Show HN: Stelvio – Ship Python to AWS 1 mention
Data: ray.json. Quotes are verbatim; the verdict and theme labels are written by a model from these comments, and every clause links to its sources.
All comments 13
“cloud + HPC clusters, K8s, Ray, Dask”
“stitched together with Ray autoscaling nodes it can get really nice”
“I recently opened a PR against this AI personal finance tool Ray”
“We wrote up the full Ray architecture we use in production on KubeRay/GKE.”
“have also noticed this pattern in Modal [1] and Ray [2] and all for it.”
“The Ray team even rejected Lambda support expressedly as far back as 2020”
“As a Ray developer”
“Ray over internet is also possible”
“One thing valuable is "Fault Tolerance"”
“I use the normal stacks you'd expect. Python, Pytorch, Spark/ray, Jupyter/Merimo, AWS, Postgres, Mathematica”
“Dask and Ray were also way too slow”
“There's no reason the Haskell community can't have something like Dask or Ray”
“https://docs.ray.io/en/latest/”