New ROCm™ 5.6 Release Brings Enhancements and Optimizations for AI and HPC Workloads
New ROCm™ 5.6 Release Brings Enhancements and Optimizations for AI and HPC Workloads
AMD to Add ROCm Support on Select RDNA™ 3 GPUs this Fall AI is the defining technology shaping the next generation of computing. In recent months, we have all seen how the explosion in generative AI and LLMs are revolutionizing the way we interact with technology and driving significantly more dem...
Huge news for AMD fans and those who are hoping to see a real* open alternative to CUDA that isn't OpenCL!
*: Intel doesn't count, they still have to get their shit together in rendering things correctly with their GPUs.
We plan to expand ROCm support from the currently supported AMD RDNA 2 workstation GPUs: the Radeon Pro v620 and w6800 to select AMD RDNA 3 workstation and consumer GPUs. Formal support for RDNA 3-based GPUs on Linux is planned to begin rolling out this fall, starting with the 48GB Radeon PRO W7900 and the 24GB Radeon RX 7900 XTX, with additional cards and expanded capabilities to be released over time.
Does anyone here use it? Is it really viable to do deep learning on AMD GPUs? Or will we eventually get there? What does support of torch or TensorFlow look like?
I've used ROCm for pytorch and stable diffusion. Using the pre-built docker images is definitely the way to go. Once setup, it's worked great for me.
You just have to understand that most projects are going to assume Nvidia (CUDA), so you'll have to jump through more hoops and still may not be able to do everything.