github-starred/ollama
2
0
Fork 0
mirror of https://github.com/ollama/ollama.git synced 2026-05-07 00:22:43 -05:00
Code Issues 14.5k Packages Projects Releases 120 Wiki Activity

[GH-ISSUE #9764] Question: Ollama support for VLLM with A30 GPUs for gemma-3-27b deployment #6382

New Issue
Closed
opened 2026-04-12 17:53:29 -05:00 by GiteaMirror · 2 comments
GiteaMirror commented 2026-04-12 17:53:29 -05:00
Owner
Copy Link

Originally created by @ZimaBlueee on GitHub (Mar 14, 2025).
Original GitHub issue: https://github.com/ollama/ollama/issues/9764

Hello,

First of all, thank you for creating such an excellent project. I'm new to Ollama and have two A30 GPUs with 24GB VRAM each. I'd like to deploy the gemma-3-27b model, and after researching, I learned that A30 GPUs are better suited for VLLM rather than llama.cpp.

I'm wondering if Ollama supports switching to VLLM as the backend? This would help me better utilize my hardware for running larger models like gemma-3-27b.

Thank you for your help!

Originally created by @ZimaBlueee on GitHub (Mar 14, 2025). Original GitHub issue: https://github.com/ollama/ollama/issues/9764 Hello, First of all, thank you for creating such an excellent project. I'm new to Ollama and have two A30 GPUs with 24GB VRAM each. I'd like to deploy the gemma-3-27b model, and after researching, I learned that A30 GPUs are better suited for VLLM rather than llama.cpp. I'm wondering if Ollama supports switching to VLLM as the backend? This would help me better utilize my hardware for running larger models like gemma-3-27b. Thank you for your help!
GiteaMirror commented 2026-04-12 17:53:30 -05:00
Author
Owner
Copy Link

@wisepmlin commented on GitHub (Mar 14, 2025):

Error: llama runner process has terminated: this model is not supported by your version of Ollama. You may need to upgrade

<!-- gh-comment-id:2724901978 --> @wisepmlin commented on GitHub (Mar 14, 2025): Error: llama runner process has terminated: this model is not supported by your version of Ollama. You may need to upgrade
GiteaMirror commented 2026-04-12 17:53:31 -05:00
Author
Owner
Copy Link

@jessegross commented on GitHub (Mar 14, 2025):

Ollama with Gemma3 is using neither llama.cpp nor vLLM - rather it uses its own internal engine. There are more hardware specific backends (to the Ollama engine) under development but you can't switch to a completely different inference engine.

<!-- gh-comment-id:2725448151 --> @jessegross commented on GitHub (Mar 14, 2025): Ollama with Gemma3 is using neither llama.cpp nor vLLM - rather it uses its own internal engine. There are more hardware specific backends (to the Ollama engine) under development but you can't switch to a completely different inference engine.
Sign in to join this conversation.
No Branch/Tag Specified
Branches Tags
Labels
Clear labels
amd
api
app
bug
build
cli
cloud
compatibility
context-length
create
docker
documentation
embeddings
feature request
feedback wanted
good first issue
gpt-oss
gpu
harmony
help wanted
image
install
intel
js
launch
linux
macos
memory
mlx
model
needs more info
networking
nvidia
ollama.com
performance
pull-request
Mirrored from GitHub Pull Request
 python
question
registry
rendering
thinking
tools
top
vulkan
windows
wsl
No Label
Milestone
No items
No Milestone
Projects
Clear projects
No project
Assignees
Clear assignees
GiteaMirror ninjasurge
No Assignees
1 Participants
Notifications
Due Date
No due date set.
Dependencies

No dependencies set.

Reference: github-starred/ollama#6382
Delete Branch "%!s()"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?