feat(container): update image quay.io/go-skynet/local-ai to v2.19.1 #6775
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--- HelmRelease: ai/localai Deployment: ai/localai-local-ai
+++ HelmRelease: ai/localai Deployment: ai/localai-local-ai
@@ -104,13 +104,13 @@
- name: models
mountPath: /models
- name: output
mountPath: /tmp/generated
containers:
- name: localai-local-ai
- image: quay.io/go-skynet/local-ai:v2.18.1-aio-gpu-nvidia-cuda-12
+ image: quay.io/go-skynet/local-ai:v2.19.1-aio-gpu-nvidia-cuda-12
imagePullPolicy: IfNotPresent
resources:
limits:
memory: 10G
nvidia.com/gpu: 1
requests: |
--- kubernetes/main/apps/ai/localai/app Kustomization: flux-system/ai-localai HelmRelease: ai/localai
+++ kubernetes/main/apps/ai/localai/app Kustomization: flux-system/ai-localai HelmRelease: ai/localai
@@ -43,13 +43,13 @@
NVIDIA_DRIVER_CAPABILITIES: all
NVIDIA_VISIBLE_DEVICES: all
OPENAI_API_KEY: sk-XXXXXXXXXXXXXXXXXXXX
debug: true
image:
repository: quay.io/go-skynet/local-ai
- tag: v2.18.1-aio-gpu-nvidia-cuda-12
+ tag: v2.19.1-aio-gpu-nvidia-cuda-12
runtimeClassName: nvidia
ingress:
annotations:
hajimari.io/appName: LocalAI
hajimari.io/enable: 'true'
hajimari.io/group: AI |
| datasource | package | from | to | | ---------- | -------------------------- | ------- | ------- | | docker | quay.io/go-skynet/local-ai | v2.18.1 | v2.19.1 |
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This PR contains the following updates:
v2.18.1-aio-gpu-nvidia-cuda-12->v2.19.1-aio-gpu-nvidia-cuda-12Release Notes
mudler/LocalAI (quay.io/go-skynet/local-ai)
v2.19.1Compare Source
LocalAI 2.19.0 is out! 📣
TLDR; Summary spotlight
🖧 LocalAI Federation and AI swarms
LocalAI is revolutionizing the future of distributed AI workloads by making it simpler and more accessible. No more complex setups, Docker or Kubernetes configurations – LocalAI allows you to create your own AI cluster with minimal friction. By auto-discovering and sharing work or weights of the LLM model across your existing devices, LocalAI aims to scale both horizontally and vertically with ease.
How it works?
Starting LocalAI with
--p2pgenerates a shared token for connecting multiple instances: and that's all you need to create AI clusters, eliminating the need for intricate network setups. Simply navigate to the "Swarm" section in the WebUI and follow the on-screen instructions.For fully shared instances, initiate LocalAI with
--p2p --federatedand adhere to the Swarm section's guidance. This feature, while still experimental, offers a tech preview quality experience.Federated LocalAI
Launch multiple LocalAI instances and cluster them together to share requests across the cluster. The "Swarm" tab in the WebUI provides one-liner instructions on connecting various LocalAI instances using a shared token. Instances will auto-discover each other, even across different networks.
Check out a demonstration video: Watch now
LocalAI P2P Workers
Distribute weights across nodes by starting multiple LocalAI workers, currently available only on the llama.cpp backend, with plans to expand to other backends soon.
Check out a demonstration video: Watch now
What's Changed
Bug fixes 🐛
🖧 P2P area
Exciting New Features 🎉
/scanendpoint by @dave-gray101 in https://github.com/mudler/LocalAI/pull/2566🧠 Models
📖 Documentation and examples
👒 Dependencies
c25bc2ato1b2e139by @dependabot in https://github.com/mudler/LocalAI/pull/2801Other Changes
check_and_update.pyscript by @dave-gray101 in https://github.com/mudler/LocalAI/pull/2778git submodule updatewith--single-branchby @dave-gray101 in https://github.com/mudler/LocalAI/pull/2847New Contributors
Full Changelog: mudler/LocalAI@v2.18.1...v2.19.0
v2.19.0Compare Source
LocalAI 2.19.0 is out! 📣
TLDR; Summary spotlight
🖧 LocalAI Federation and AI swarms
LocalAI is revolutionizing the future of distributed AI workloads by making it simpler and more accessible. No more complex setups, Docker or Kubernetes configurations – LocalAI allows you to create your own AI cluster with minimal friction. By auto-discovering and sharing work or weights of the LLM model across your existing devices, LocalAI aims to scale both horizontally and vertically with ease.
How it works?
Starting LocalAI with
--p2pgenerates a shared token for connecting multiple instances: and that's all you need to create AI clusters, eliminating the need for intricate network setups. Simply navigate to the "Swarm" section in the WebUI and follow the on-screen instructions.For fully shared instances, initiate LocalAI with
--p2p --federatedand adhere to the Swarm section's guidance. This feature, while still experimental, offers a tech preview quality experience.Federated LocalAI
Launch multiple LocalAI instances and cluster them together to share requests across the cluster. The "Swarm" tab in the WebUI provides one-liner instructions on connecting various LocalAI instances using a shared token. Instances will auto-discover each other, even across different networks.
Check out a demonstration video: Watch now
LocalAI P2P Workers
Distribute weights across nodes by starting multiple LocalAI workers, currently available only on the llama.cpp backend, with plans to expand to other backends soon.
Check out a demonstration video: Watch now
What's Changed
Bug fixes 🐛
🖧 P2P area
Exciting New Features 🎉
/scanendpoint by @dave-gray101 in https://github.com/mudler/LocalAI/pull/2566🧠 Models
Configuration
📅 Schedule: Branch creation - At any time (no schedule defined), Automerge - At any time (no schedule defined).
🚦 Automerge: Disabled by config. Please merge this manually once you are satisfied.
♻ Rebasing: Whenever PR becomes conflicted, or you tick the rebase/retry checkbox.
🔕 Ignore: Close this PR and you won't be reminded about this update again.
This PR has been generated by Renovate Bot.