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Add RDNA4 OS support note in RELEASE.md and compat matrix (#4764)

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* fix vllm link in release.md

* add RDNA4 note in compat matrix

* update hipcc github url to specific path in llvm-project repo

* remove non-existant HIP upcoming changes reference

* remove non-existant resolved issues internal link

* fix hip upcoming changes url

* duplicate amd smi known issue
This commit is contained in:
Peter Park
2025-05-21 14:23:48 -04:00
committed by GitHub
parent 0e8b745266
commit 98fde2bff1
3 changed files with 15 additions and 10 deletions
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15
RELEASE.md
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@@ -24,8 +24,6 @@ The release notes provide a summary of notable changes since the previous ROCm r
- [ROCm known issues](#rocm-known-issues)
- [ROCm resolved issues](#rocm-resolved-issues)
- [ROCm upcoming changes](#rocm-upcoming-changes)
```{note}
@@ -69,7 +67,7 @@ ROCm documentation continues to be updated to provide clearer and more comprehen
* The [Training a model with LLM Foundry](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/training/benchmark-docker/mpt-llm-foundry.html) performance testing guide has been added. This guide describes how to use the preconfigured [ROCm/pytorch-training](https://hub.docker.com/layers/rocm/pytorch-training/v25.5/images/sha256-d47850a9b25b4a7151f796a8d24d55ea17bba545573f0d50d54d3852f96ecde5) training environment and [https://github.com/ROCm/MAD](https://github.com/ROCm/MAD) to test the training performance of the LLM Foundry framework on AMD Instinct MI325X and MI300X accelerators using the [MPT-30B](https://huggingface.co/mosaicml/mpt-30b) model.
* The [Training a model with PyTorch](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/training/benchmark-docker/pytorch-training.html) performance testing guide has been updated to feature the latest [ROCm/pytorch-training](https://hub.docker.com/layers/rocm/pytorch-training/v25.5/images/sha256-d47850a9b25b4a7151f796a8d24d55ea17bba545573f0d50d54d3852f96ecde5) Docker image (a preconfigured training environment with ROCm and PyTorch). Support for [Llama 3.3 70B](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) has been added.
* The [Training a model with JAX MaxText](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/training/benchmark-docker/jax-maxtext.html) performance testing guide has been updated to feature the latest [ROCm/jax-training](https://hub.docker.com/layers/rocm/jax-training/maxtext-v25.5/images/sha256-4e0516358a227cae8f552fb866ec07e2edcf244756f02e7b40212abfbab5217b) Docker image (a preconfigured training environment with ROCm, JAX, and [MaxText](https://github.com/AI-Hypercomputer/maxtext)). Support for [Llama 3.3 70B](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct) has been added.
* The [vLLM inference performance testing](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/inference/vllm-benchmark.html?model=pyt_vllm_qwq-32b) guide has been updated to feature the latest [ROCm/vLLM](https://hub.docker.com/layers/rocm/vllm/instinct_main/images/sha256-ad9062dea3483d59dedb17c67f7c49f30eebd6eb37c3fac0a171fb19696cc845) Docker image (a preconfigured environment for inference with ROCm and [vLLM](https://docs.vllm.ai/en/latest/)). Support for the [QwQ-32B](https://huggingface.co/Qwen/QwQ-32B) model has been added.
* The [vLLM inference performance testing](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/inference/vllm-benchmark.html?model=pyt_vllm_qwq-32b) guide has been updated to feature the latest [ROCm/vLLM](https://hub.docker.com/layers/rocm/vllm/latest/images/sha256-5c8b4436dd0464119d9df2b44c745fadf81512f18ffb2f4b5dc235c71ebe26b4) Docker image (a preconfigured environment for inference with ROCm and [vLLM](https://docs.vllm.ai/en/latest/)). Support for the [QwQ-32B](https://huggingface.co/Qwen/QwQ-32B) model has been added.
* The [PyTorch inference performance testing](https://rocm.docs.amd.com/en/latest/how-to/rocm-for-ai/inference/pytorch-inference-benchmark.html?model=pyt_clip_inference) guide has been added, featuring the [ROCm/PyTorch](https://hub.docker.com/layers/rocm/pytorch/latest/images/sha256-ab1d350b818b90123cfda31363019d11c0d41a8f12a19e3cb2cb40cf0261137d) Docker image (a preconfigured inference environment with ROCm and PyTorch) with initial support for the [CLIP](https://huggingface.co/laion/CLIP-ViT-B-32-laion2B-s34B-b79K) and [Chai-1](https://huggingface.co/chaidiscovery/chai-1) models.
## Operating system and hardware support changes
@@ -78,7 +76,8 @@ ROCm 6.4.1 introduces support for the RDNA4 architecture-based [Radeon AI PRO
R9700](https://www.amd.com/en/products/graphics/workstations/radeon-ai-pro/ai-9000-series/amd-radeon-ai-pro-r9700.html),
[Radeon RX 9070 XT](https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9070xt.html), and
[Radeon RX 9060 XT](https://www.amd.com/en/products/graphics/desktops/radeon/9000-series/amd-radeon-rx-9060xt.html) GPUs
for compute workloads. For details, see the full list of [Supported GPUs
for compute workloads. Currently, these GPUs are only supported on Ubuntu 24.04.2, Ubuntu 22.04.5, RHEL 9.5, and RHEL 9.4.
For details, see the full list of [Supported GPUs
(Linux)](https://rocm.docs.amd.com/projects/install-on-linux/en/latest/reference/system-requirements.html#supported-gpus).
Operating system support remains unchanged in this release.
@@ -390,7 +389,7 @@ Click {fab}`github` to go to the component's source code on GitHub.
<th rowspan="2" colspan="2">Compilers</th>
<td><a href="https://rocm.docs.amd.com/projects/HIPCC/en/docs-6.4.1/index.html">HIPCC</a></td>
<td>1.1.1</td>
<td><a href="https://github.com/ROCm/llvm-project/"><i
<td><a href="https://github.com/ROCm/llvm-project/tree/amd-staging/amd/hipcc"><i
class="fab fa-github fa-lg"></i></a></td>
</tr>
<tr>
@@ -569,6 +568,10 @@ will be addressed in a future ROCm release.
When splitting a communicator using `ncclCommSplit` in some GPU configurations, MSCCL initialization can cause a segmentation fault. The recommended workaround is to disable MSCCL with `export RCCL_MSCCL_ENABLE=0`.
This issue will be fixed in a future ROCm release.
### AMD SMI CPER entries not dumped continuously when using --follow
* When using the `--follow` flag with `amd-smi ras --cper`, CPER entries are not streamed continuously as intended. This will be fixed in an upcoming ROCm release.
## ROCm upcoming changes
The following changes to the ROCm software stack are anticipated for future releases.
@@ -638,4 +641,4 @@ There are a number of upcoming changes planned for HIP runtime API in an upcomin
that are not backward compatible with prior releases. Most of these changes increase
alignment between HIP and CUDA APIs or behavior. Some of the upcoming changes are to
clean up header files, remove namespace collision, and have a clear separation between
`hipRTC` and HIP runtime. For more information refer to [HIP Upcoming changes](https://rocm.docs.amd.com/en/latest/about/release-notes.html#id15).
`hipRTC` and HIP runtime. For more information refer to [HIP Upcoming changes](https://rocm.docs.amd.com/en/docs-6.4.0/about/release-notes.html#id15).