Google Cloud Blog

Scaling Ray Serve LLM on GKE: Performance without losing the developer experience (opens in new tab)

Developers looking for LLM inference and model serving often turn to Ray Serve, a scalable model serving library with developer-friendly, Python-native APIs built by Anyscale. Combined with Google Kubernetes Engine (GKE), developers have a powerful, unified platform optimized for demanding LLM serving use cases, spanning from initial model development to online production serving. However, that flexibility and feature set used to come at a cost to performance. But today, in partnership with A...

Read the original article
Sign in to keep reading the full article.

Keyboard Shortcuts

Navigation

Next / previous post
j/k
Open post
oorEnter
Preview post
v

Post Actions

Love post
a
Like post
l
Dislike post
d
Undo reaction
u
Save / unsave
s

Recommendations

Add interest / feed
Enter
Not interested
x

Go to

Home
gh
Interests
gi
Feeds
gf
Likes
gl
History
gy
Changelog
gc
Settings
gs
Discover
gb
Search
/

General

Show this help
?
Submit feedback
!
Close modal / unfocus
Esc

Press ? anytime to show this help