训练（Training）是AI应用必不可少的前提，模型训练的优劣直接影响AI应用体验的优劣。与推理不同，AI训练通常要使用成百上千个AI加速器，并需要大量的电能。在训练领域，英伟达GPU一直占据市场主导地位，但也面临着包括英特尔、AMD及其他公司的竞争。然而，最近公布的AI训练基准测试结果表明，相比于其他用于AI训练的加速...
曾在发布会称优于H100六成被打脸 AMD的旗舰AI GPU加速器,被曝软件存在大量bug,几乎无法用于训练AI模型?! 这事挺让人意外的,因为它可是AMD用来阻击霸主英伟达的一张王牌。 去年12月,AMD在自家的“Advancing AI”活动中,首次宣布推出了MI300X,其性能比英伟达的 H100 足足高出 60%! 一年过去了,已经投产的AMD MI...
AMD的客户通常仅在推理时使用手工优化的内核,这意味着其性能仅限于非常狭窄且定义明确的用例,而在快速变化的工作负载下缺乏灵活性。 需要查看完整报告的朋友,地址在这里↓:https://semianalysis.com/2024/12/22/mi300x-vs-h100-vs-h200-benchmark-part-1-training/ 二、机器学习编译技术,让AMD变得更“好用” ...
“Achieving gains in processor energy efficiency is a long-term design priority for AMD and we are now setting a new goal for modern compute nodes using our high-performance CPUs and accelerators when applied to AI training and high-performance computing deployments,” said Mark Papermaster...
Includes AMD high performance CPU and GPU accelerators used for AI training and High-Performance Computing in a 4P hosted configuration. Goal calculations based on performance scores as measured by standard performance metrics (HPC: Linpack DGEMM kernel FLOPS with 4k matrix size. AI training: lower ...
AMD GPUs for Ai? I am interested in getting a new gpu as ai requires a boatload of vram. The speed of training even on the 7900xtx isn't great, mainly because of the inability to use cuda cores. It looks like an amazing card aside from that. I am wondering, is there any way ...
Su said AMD released the MI300A APU for data centers, which she said are expected to grow its total addressable market to $45 billion. APUs generally combine CPUs and GPUs for faster processing. AMD said the MI300A offers higher-performance computing, faster model training, and a 30 times...
With AMD ROCm 6.0, we are continuing our support forthe PyTorch frameworkbringing mixed precision with FP32/FP16 to Machine Learning training workflows. These are exciting times for anyone deciding to start working on AI. ROCm for AMD Radeon desktop GPUs is a great solution for AI engine...
This press release contains forward-looking statements concerning Advanced Micro Devices, Inc. (AMD) such as the availability of AMD Instinct™ MI300A APUs; and AMD’s goal to deliver 30x energy efficiency improvement in processors and accelerators for AI-training and HPC by 2025, which are ...
HPC and up to 46.1 TFLOPS peak FP32 Matrix performance for AI and machine learning workloads. With new AMD Matrix Core technology, the MI100 also delivers a nearly 7x boost in FP16 theoretical peak floating point performance for AI training workloads compared to AMD's prior generation ...