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@insidehpc.com
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MiTAC Computing Technology and AMD are strengthening their partnership to deliver cutting-edge solutions for AI, HPC, cloud-native, and enterprise applications. MiTAC will showcase this collaboration at COMPUTEX 2025, highlighting their shared vision for scalable and energy-efficient technologies. This partnership, which began in 2002, leverages AMD EPYC processors and Instinct GPUs to meet the evolving demands of modern data centers. Rick Hwang, President of MiTAC Computing Technology, emphasized their excitement in advancing server solutions powered by AMD's latest processors and GPUs, stating that it's key to unlocking new capabilities for their global customer base in AI and HPC infrastructure.
Specifically, MiTAC and AMD are developing next-generation server platforms. One notable product is an 8U server equipped with dual AMD EPYC 9005 Series processors and support for up to 8 AMD Instinct MI325X GPUs, offering exceptional compute density and up to 6TB of DDR5-6400 memory, ideal for large-scale AI model training and scientific applications. Additionally, they are offering a 2U dual-socket GPU server, that supports up to four dual-slot GPUs with 24 DDR5-6400 RDIMM slots and tool-less NVMe storage carriers, it offers high-speed throughput and flexibility for deep learning and HPC environments. Meanwhile, Nvidia is preparing to compete with Huawei in the Chinese AI chip market by releasing a budget-friendly AI chip. This strategy is driven by the need to maintain relevance in the face of growing domestic competition and navigate export restrictions. The new chip, priced between $6,500 and $8,000, represents a significant cost reduction compared to the previously banned H20 model. This reduction involves trade-offs, such as using Nvidia's RTX Pro 6000D foundation with standard GDDR7 memory and foregoing Taiwan Semiconductor's advanced CoWoS packaging technology.
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@www.amd.com
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AMD is embracing a comprehensive strategy for AI coding assistance, extending its focus beyond mere code generation to encompass the entire software development lifecycle. This holistic approach involves fine-tuning coding copilots and adapting large language models to assist with various stages of software development, including code review, optimization, and bug report generation. By implementing AI at each step, AMD aims to achieve transformative results and a substantial increase in developer productivity.
This strategic move reflects a growing recognition that the transformative potential of AI in software development lies in its ability to assist with more than just writing code. AMD envisions a future where AI agents play a key role in each phase of the software development process. To realize this vision, AMD is combining generative and predictive AI to create specialized agents that can aid in tasks such as identifying logic flaws, suggesting improvements, and ensuring code maintainability. AMD anticipates a significant boost in productivity, projecting a 25 percent increase over the next few years as a result of its holistic AI implementation. The company's approach focuses on integrating AI seamlessly into the software development lifecycle, recognizing that coding assistance is just one component of the broader development process. By addressing various aspects such as debugging, code review, and optimization, AMD aims to provide developers with a comprehensive suite of AI-powered tools that will streamline workflows and enhance efficiency.
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staff@insideAI News
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AMD has announced its acquisition of ZT Systems for $4.9 billion, marking a significant move into the AI infrastructure arena. The acquisition, which was first disclosed last August, was priced at $4.9 billion. AMD anticipates that the transaction will be accretive on a non-GAAP basis by the end of 2025. The acquisition is part of a trend of chip makers integrating with the AI factory.
AMD's acquisition of ZT Systems will enable "a new class of end-to-end AI solutions based on the combination of AMD CPU, GPU and networking silicon, open-source AMD ROCm software and rack-scale systems capabilities.” Forrest Norrod, EVP/GM of AMD's Data Center Solutions business unit, stated that reducing the design and deployment time of cluster-level data center AI systems will be a significant competitive advantage. In addition, prior to this announcement, AMD secured a 30,000 GPU cluster deal with Oracle.
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