{"id":28481,"date":"2023-12-15T10:17:20","date_gmt":"2023-12-15T02:17:20","guid":{"rendered":"https:\/\/nxtmag.tech\/?p=28481"},"modified":"2023-12-15T10:18:02","modified_gmt":"2023-12-15T02:18:02","slug":"amd-launches-groundbreaking-mi300x-accelerators-and-mi300a-apu-for-ai-and-hpc","status":"publish","type":"post","link":"https:\/\/nxtmag.tech\/my\/2023\/12\/15\/amd-launches-groundbreaking-mi300x-accelerators-and-mi300a-apu-for-ai-and-hpc\/","title":{"rendered":"AMD Launches Groundbreaking MI300X Accelerators and MI300A APU for AI and HPC"},"content":{"rendered":"
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AMD Advancing AI event in San Jose California, Wednesday, December 6, 2023. (Photo by PaulSakuma.com Photography)<\/figcaption><\/figure>\n

AMD Instinct MI300 Series: A New Era in Computing<\/strong><\/p>\n

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\nThe AMD Instinct MI300 Series accelerators represent AMD’s most advanced technologies. According to AMD’s President Victor Peng, these accelerators are expected to play a significant role in large-scale cloud and enterprise deployments. The series benefits from AMD’s holistic approach to hardware and software, boosting the capabilities of cloud providers, OEMs, and ODMs to develop AI-powered solutions.<\/p>\n

 <\/p>\n

The Power of AMD Instinct MI300X<\/strong><\/p>\n

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The AMD Instinct MI300X accelerators, built on the new AMD CDNA 3 architecture, deliver significant improvements over their predecessors, the MI250X accelerators. These include a nearly 40% increase in compute units, 1.5x more memory capacity, and 1.7x more peak theoretical memory bandwidth. They feature 192 GB of HBM3 memory and 5.3 TB\/s peak memory bandwidth, making them ideal for complex AI workloads.<\/p>\n

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Compared to Nvidia\u2019s H100 HGX, the AMD Instinct Platform offers up to 1.6x higher throughput in LLM inference and is the only option capable of running inference for a 70B parameter model on a single accelerator.<\/p>\n

AMD Instinct MI300A: A Breakthrough in Data Center APUs<\/strong><\/p>\n

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\nThe AMD Instinct MI300A APU is the world\u2019s first data centre APU designed for HPC and AI, combining AMD CDNA 3 GPU cores, \u201cZen 4\u201d CPU cores, and 128GB of HBM3 memory. It delivers approximately 1.9x the performance-per-watt on FP32 HPC and AI workloads compared to the previous generation MI250X. This APU provides unified memory and cache resources, offering a highly efficient platform for the most demanding HPC and AI workloads.<\/p>\n

ROCm Software and Ecosystem Partners<\/strong><\/p>\n

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AMD Advancing AI event in San Jose California, Tuesday, December 5, 2023. (Photo by PaulSakuma.com Photography)<\/figcaption><\/figure>\n

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 <\/p>\n

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AMD also announced the AMD ROCm 6 open software platform, enhancing AI acceleration performance significantly. The company\u2019s commitment to open-source AI software is evident through its contributions to the community. ROCm 6 introduces several new features for generative AI and supports widely used open-source AI software models and frameworks. AMD\u2019s strategic ecosystem partnerships, including collaborations with Nod.AI, Mipsology, Lamini, and MosaicML, further reinforce its position in the AI and HPC landscapes.<\/p>\n

You can also learn more about AMD\u2019s announcements at <\/span><\/span>AMD.com<\/span><\/a>, on the <\/span>AMD YouTube channel<\/span><\/a>.<\/span>\u00a0<\/span><\/span><\/p>\n

 <\/p>\n","protected":false},"excerpt":{"rendered":"

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