Easy-GPU-P
A Project dedicated to making GPU Partitioning on Windows easier! (by LJCoopz)
Juice-Labs
Juice Community Version Public Release (by Juice-Labs)
| Easy-GPU-P | Juice-Labs | |
|---|---|---|
| 3 | 20 | |
| 9 | 392 | |
| - | 3.6% | |
| 10.0 | 8.7 | |
| over 2 years ago | 4 months ago | |
| Go | ||
| - | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Easy-GPU-P
Posts with mentions or reviews of Easy-GPU-P.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-11.
- Why is Win11 guest OS dropping video frames inside Edge?
- How to split GPU for multiple guests
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How do I do a GPU Passthrough on Windows?
On windows you can actually do GPU partitioning where you give some percentage of your gpu to a guest os. One of many guides here https://github.com/LJCoopz/Easy-GPU-P
Juice-Labs
Posts with mentions or reviews of Juice-Labs.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-07.
- GPU-over-IP for LLM inference?
- GTA 5 running in Qemu without PCI Passthrough using Juicy Labs
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This looks very cool: GPU-over-IP with Juice. You can attach GPU to non GPU nodes, share GPU across multiple users and applications, bring GPU to your data (vs bringing your data to the GPU) - all with just software.
The website https://www.juicelabs.co/ they have an community version as well https://github.com/Juice-Labs/Juice-Labs
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EGPU ALTERNATIVE?
I recently discovered juicelabs.co but I have not yet tested it. Maybe worth a look.
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Why I think 3D artists should get an eGPU for rendering, even if they have a desktop [How stuff works + Idea]
Or you could even use a remote GPU like Juice GPU
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Using Cloud-GPU as an eGPU?
check out https://www.juicelabs.co/
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Looking for a Bitfusion replacement? I think I may have found something really cool... Juice - which not only supports CUDA but all the graphical APIs
So our lab had been using Bitfusion until recently for a large number of VM deployments. With Bitfusion support coming to an end, we were talking about solutions and did some Googleing around GPU-over-IP and stumbled across these guys: www.juicelabs.co
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is it possible to install Automatic1111 and manage it like locally, but using a shared gpu service such as runpod.io/endpoints?
The Juice may help passing gpu over IP, I haven't tried it yet though
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ClosedAI strikes again
Even then you can always use Juice. https://www.juicelabs.co/
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Multiple inference, single remote GPU of Stable Diffusion
The functionality to do this today is available via our community edition here: https://github.com/Juice-Labs/Juice-Labs/wiki
What are some alternatives?
When comparing Easy-GPU-P and Juice-Labs you can also consider the following projects:
Easy-GPU-PV - A Project dedicated to making GPU Partitioning on Windows easier!
kserve - Standardized Serverless ML Inference Platform on Kubernetes
vgpu_unlock - Unlock vGPU functionality for consumer grade GPUs.
Open-Assistant - OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
server - The Triton Inference Server provides an optimized cloud and edge inferencing solution.
ml-stable-diffusion - Stable Diffusion with Core ML on Apple Silicon