ROCm
Deepspeed-Windows
ROCm | Deepspeed-Windows | |
---|---|---|
11 | 1 | |
21 | 19 | |
- | - | |
10.0 | 7.6 | |
over 3 years ago | 2 months ago | |
HTML | C++ | |
- | Apache License 2.0 |
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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.
ROCm
- ROCm 6.1.0
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
ROCm is not spelled out anywhere in their documentation and the best answers in search come from Github and not AMD official documents
"Radeon Open Compute Platform"
https://github.com/ROCm/ROCm/issues/1628
And they wonder why they are losing. Branding absolutely matters.
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AMD Instinct MI300X Accelerators
https://github.com/ROCm/ROCm/issues/1353
Bought in 2020. Stopped working in 2020. Not the latest, but in-production, advertised ROCm-capable, and what I could find during the Great GPU Shortage of 2020.
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AMD leaps after launching AI chip that could challenge Nvidia dominance
Maybe so. But it isn't confidence inspiring when I go to see which cards are supported and I see this issue:
https://github.com/ROCm/ROCm/issues/1714
With Nvidia cards, I know that if I buy any Nvidia card made in the last 10 years, CUDA code will run on it. Period. (Yes, different language levels require newer hardware, but Nvidia docs are quite clear about which CUDA versions require which silicon.)
The will-they-won't-they and the rapidly dropped support is hurting the otherwise excellent ROCm and HIP projects. There is a huge API surface to implement and it looks like they're making rapid gains.
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GCN2, GCN3: What is the Technical, Non-Business Reason for Limited Supported in Linux (OpenSYCL/HIP/ROCM)? [Exasperated client]
Like, there is: https://github.com/ROCm/ROCm.github.io/blob/master/hardware.md but I'm pretty sure that's very very outdated, maybe from 4.x?
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AMD’s Best GPU has some problems — Radeon RX 7900XTX VR Performance Review
Fair enough I'll give you that. Although it is listed as officially supported here, other documentation says it works but is not officially supported.
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Finally, ROCm packages in [community]!
Do you have a source? The 580 and several older cards are listed as officially supported here, and even some 2xx/3xx cards are listed as unofficially supported.
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[D] What’s the word on AMD gpus these days?
Some of the GPUs listed in your link are for consumers. For a more extensive list, see https://github.com/ROCm/ROCm.github.io/blob/master/hardware.md
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Told an AI to generate Linux. Looks about right
Very conveniently, your linked page (the therein linked pages) do not talk about which GPUs actually do support ROCm. This is probably because AMDs newest cards do not support ROCm in any way, and would guess they don't want the sales pact this lack of feature could cause. Please do evaluate yourself, here: https://github.com/ROCm/ROCm.github.io/blob/master/hardware.md
Deepspeed-Windows
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I just went through this this weekend - If you're running in Windows and want to use deepspeed, you have to still use Cuda 12.1 because deepspeed 13.1 is the latest that works with 12.1. There's no deepspeed for windows that works with 12.3.
I tried to get it working this weekend but it was a huge PITA so I switched to putting everything into WSL2 then in arch on there pytorch etc in containers so I could flip versions easily.
I'm still working on that part, halfway into it my WSL2 completely broke and I had to reinstall windows. The p9 networking stopped working.
https://github.com/S95Sedan/Deepspeed-Windows
What are some alternatives?
rocm-arch - A collection of Arch Linux PKGBUILDS for the ROCm platform
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
ROCR-Runtime - ROCm Platform Runtime: ROCr a HPC market enhanced HSA based runtime
Sunshine - Self-hosted game stream host for Moonlight.
deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
hipDNN - A thin wrapper around miOpen and cuDNN
ROCm - AMD ROCm™ Software - GitHub Home [Moved to: https://github.com/ROCm/ROCm]
stable-diffusion-webui - Stable Diffusion web UI
ZLUDA - CUDA on AMD GPUs
HIPIFY - HIPIFY: Convert CUDA to Portable C++ Code