OpenAI首席执行官Sam Altman：将采用AMD的MI300X和MI450人工智能芯片。 ...

智通财经6月13日电，OpenAI首席执行官山姆·奥特曼（Sam Altman）表示，将使用AMD的MI300X和 MI450 AI芯片。 ...

SAN FRANCISCO, June 12, 2025 (GLOBE NEWSWIRE) -- Crusoe, the industry’s first vertically integrated AI infrastructure provider, today announced a new collaboration with AMD to bring AI cloud solutions to market. This collaboration will combine the leading performance of AMD Instinct™ MI355X GPUs with Crusoe’s AI cloud platform to deliver a robust AI Infrastructure as a service offering, allowing customers to run complex AI training, fine-tuning, and inference workloads. The collaboration addresses the rapid ...

Core Viewpoint - Supermicro is launching new GPU solutions featuring AMD Instinct MI350 series GPUs, designed for high performance, scalability, and efficiency in AI-driven data centers [1][2][3] Company Overview - Supermicro is a global leader in Application-Optimized Total IT Solutions, focusing on Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure [8] - The company emphasizes innovation and efficiency in its product offerings, which include servers, AI, storage, IoT, and networking solutions [8] Product Features - The new Supermicro H14 generation GPU solutions support both liquid-cooled and air-cooled configurations, providing flexibility for various deployment environments [4][7] - These systems utilize dual AMD EPYC 9005 CPUs and AMD Instinct MI350 series GPUs, enhancing performance for AI, HPC, Cloud, and Enterprise workloads [3][5] - The AMD Instinct MI350 series GPUs deliver up to 40% more tokens-per-dollar compared to competitors, optimizing cost efficiency for customers [4] Performance Metrics - The new GPU servers offer 288GB HBM3e memory per GPU, which is a 1.5x increase in memory capacity compared to previous generations, and 8TB/s bandwidth [5] - The systems are designed to maximize computational throughput and energy efficiency, enabling faster processing for AI workloads [5][6] Market Position - Supermicro's integration of AMD MI350 series GPUs into its offerings demonstrates a commitment to providing advanced solutions for AI training and inference [6][7] - The company aims to support the growing demand for scalable and efficient infrastructure in AI applications across cloud service providers and enterprises [7]

Core Insights - AMD is positioning itself as a leader in AI innovation with the introduction of its comprehensive AI platform and open, scalable rack-scale AI infrastructure [1][2][3] Group 1: AI Solutions and Infrastructure - AMD launched the Instinct MI350 Series accelerators, achieving a 4x increase in AI compute and a 35x improvement in inferencing performance compared to previous generations [4] - The MI355X model offers significant price-performance advantages, generating up to 40% more tokens-per-dollar than competing solutions [4] - AMD's next-generation AI rack, "Helios," is expected to deliver up to 10x more performance for inference tasks by utilizing the upcoming MI400 Series GPUs [4] Group 2: Energy Efficiency Goals - The Instinct MI350 Series surpassed AMD's five-year goal for energy efficiency, achieving a 38x improvement in energy efficiency for AI training and high-performance computing [4] - AMD has set a new target to achieve a 20x increase in rack-scale energy efficiency by 2030, allowing for significant reductions in electricity usage for AI model training [4][18] Group 3: Developer Support and Ecosystem - AMD introduced the AMD Developer Cloud, providing a managed cloud environment for AI development, aimed at lowering barriers for developers [4] - The ROCm 7 software stack has been enhanced to support generative AI and high-performance computing, improving developer experience and expanding hardware compatibility [4] Group 4: Partnerships and Collaborations - Major companies like Meta, OpenAI, Microsoft, and Oracle are leveraging AMD's technology for their AI solutions, indicating strong industry collaboration [5][6] - Oracle Cloud Infrastructure is adopting AMD's open rack-scale AI infrastructure, planning to offer zettascale AI clusters powered by AMD's latest processors [6]

Core Insights - Compal Electronics has launched its new high-performance server platform SG720-2A/OG720-2A, designed for generative AI and large language model training, featuring AMD Instinct™ MI355X GPU architecture and advanced liquid cooling options [1][3][6] Technical Highlights - The SG720-2A/OG720-2A supports up to eight AMD Instinct MI350 Series GPUs, enabling scalable training for LLMs and generative AI applications [7] - It incorporates a dual cooling architecture, including air and two-phase liquid cooling, optimized for high thermal density workloads, enhancing thermal efficiency [7] - The server is built on the CDNA 4 architecture with 288GB HBM3E memory and 8TB/s bandwidth, supporting FP6 and FP4 data formats, tailored for AI and HPC applications [7] - High-speed interconnect performance is achieved through PCIe Gen5 and AMD Infinity Fabric™, facilitating multi-GPU orchestration and reducing latency [7] - The platform is compatible with mainstream open-source AI stacks like ROCm™, PyTorch, and TensorFlow, streamlining AI model integration [7] - It supports EIA 19" and ORv3 21" rack standards with a modular design for easy upgrades and maintenance [7] Strategic Collaboration - Compal has a long-standing collaboration with AMD, co-developing solutions that enhance efficiency and sustainability in data center operations [5] - The launch of SG720-2A/OG720-2A at both Advancing AI 2025 and ISC 2025 highlights Compal's commitment to expanding its global visibility and partnerships in the AI and HPC sectors [7]

Core Insights - Oracle and AMD are collaborating to offer an AI supercomputer featuring AMD Instinct MI355X GPUs, enhancing AI training and inference capabilities for customers [1][2] - The new zettascale AI cluster will support up to 131,072 MI355X GPUs, providing over 2X better price-performance compared to previous generations [1][2] - The partnership aims to meet the growing demand for AI infrastructure, enabling customers to handle larger and more complex datasets effectively [2][3] Performance Enhancements - The AMD Instinct MI355X GPUs deliver nearly triple the compute power and a 50% increase in high-bandwidth memory compared to the previous generation [2] - Customers can expect up to 2.8X higher throughput for AI deployments, resulting in faster results and lower latency [4] - The new architecture supports 288 gigabytes of high-bandwidth memory 3 (HBM3) and up to eight terabytes per second of memory bandwidth, facilitating the execution of large models entirely in memory [4] Infrastructure and Design - The OCI Supercluster features a high-throughput, ultra-low latency RDMA cluster network architecture, optimized for demanding AI workloads [2] - A dense, liquid-cooled design allows for 125 kilowatts per rack, accommodating 64 GPUs per rack at 1,400 watts each, enhancing performance density [4] - The powerful head node, equipped with an AMD Turin high-frequency CPU, optimizes GPU performance through efficient job orchestration and data processing [4] Open-Source and Networking Innovations - The open-source stack, AMD ROCm, enables flexible architectures and easy migration of existing code, preventing vendor lock-in [4] - Oracle will be the first to deploy AMD Pollara AI NICs, providing advanced RoCE functionality for high-performance and low-latency networking [5]

AMD(AMD.O) CEO：宣布为AI芯片推出ROCM 7软件。 ...

AMD公司CEO宣布为AI芯片推出ROCM 7软件。 ...

智通财经6月13日电，AMD公司CEO宣布为AI芯片推出ROCM 7软件。 ...