MiTAC Computing Technology Corp., a global leader in high-performance, energy-efficient server solutions and a subsidiary of MiTAC Holdings Corporation (TWSE:3706), is highlighting its latest agentic AI infrastructure at AMD Advancing AI. MiTAC's showcase focuses on its premier exhibition lineup, featuring its latest liquid-cooled and air-cooled AI servers and next-generation multi-node platforms built on the new 6th Gen AMD EPYC Server CPUs. As part of the launch, MiTAC is introducing a portfolio of next-generation platforms designed to help customers scale AI, cloud, HPC and enterprise workloads with greater performance, efficiency and flexibility.

The new MiTAC M2810Z6 and M2610Z6 systems, powered by 6th Gen EPYC Server CPUs, reflect MiTAC's commitment to delivering infrastructure choices that align compute density, memory bandwidth, and I/O capability with evolving data center requirements. With support for AMD's Venice "Zen 6" architecture, PCIe Gen 6 I/O subsystem, and CXL 3.1, these platforms are engineered to meet the demands of modern AI-driven environments while optimizing power and system density.

Enterprises, cloud providers, and research organizations need AI infrastructure that delivers results fast, not just parts to assemble. Today, AMD is introducing AMD Pensando Pollara 400 AI NIC-Ready Server Platforms: a growing ecosystem of server systems from leading partners that come preconfigured with the AMD Pensando Pollara 400 AI Network Interface Card to deliver high-performance, Ethernet-based AI networking out of the box for both the front-end and back-end. By combining proven server designs, powerful AMD compute, and Pollara 400's fully programmable 400G Ethernet, these platforms help organizations stand up scalable AI clusters faster and with greater confidence.

AMD Pensando Pollara 400 AI NIC-Ready Server Platforms brings together servers from leading partners with the AMD Pensando Pollara 400 AI NIC to easily power the communication cycles required for the unique demand of AI workloads. These platforms give customers a consistent AI networking foundation across a broad ecosystem of server designs. Partners can offer dense GPU training nodes, high-throughput inference servers, that can often combine AMD EPYC Server CPUs, AMD Instinct GPU accelerators, and AMD Pensando Pollara 400 AI NIC-based Ethernet fabrics. Unlike other AI NICs, the AMD Pensando Pollara 400 AI NIC is fully hardware and software programmable, meaning the AI NIC can be updated without a hardware overhaul as transport and congestion-control algorithms evolve. This flexibility allows the same server platform to be tuned over time for new AI workloads, updated business priorities, and topologies.

MiTAC Computing Technology, a global leader in high-performance and energy-efficient server solutions, is proud to announce its participation at the Supercomputing (SC) 2025 (November 18-20, St. Louis, Missouri), booth 3916. Under the theme "AI Cluster Power - Cool Fast. Scale Faster.", MiTAC Computing will showcase its modular, highly scalable rack infrastructure designed for demanding AI and HPC workloads. The exhibition will demonstrate the company's full spectrum of capabilities, ranging from single AI servers to complete cluster-level integration, with a focus on cutting-edge liquid cooling and energy-efficient designs to maximize performance and sustainability.

Collaborating with key industry players such as AMD, Broadcom, CoolIT, Intel, KIOXIA, Micron, NVIDIA, Samsung, and Solidigm, MiTAC Computing is dedicated to accelerating the development of advanced computing and high-efficiency data centers.

IBM (NYSE: IBM) and AMD (NASDAQ: AMD) today announced a collaboration to deliver advanced AI infrastructure to Zyphra, an open-source AI research and product company based in San Francisco, California. Under a multi-year agreement between IBM and Zyphra, IBM is positioned to deliver a large cluster of AMD Instinct MI300X GPUs on IBM Cloud for Zyphra to use for training frontier multimodal foundation models. This collaboration is expected to deliver among the largest advanced generative AI training capabilities to date powered by an AMD stack running on IBM Cloud.

Zyphra recently closed a Series A financing round at a $1B valuation to build a leading open-source/open-science superintelligence lab focused on advancing fundamental innovations in novel neural network architectures, long-term memory, and continual learning.

Giga Computing, a subsidiary of GIGABYTE and an industry leader in accelerated computing servers and advanced cooling technologies, today announced participation in the first ever OCP APAC Summit. At GIGABYTE booth #S01, Giga Computing will highlight a broad portfolio of OCP-based solutions, including three newly launched solutions designed to meet the growing demands of modern data centers.

Among the featured innovations is the GIGABYTE TO86-ZX1-AA03, a high-performance, accelerated computing server that integrates AMD CPUs & GPUs. Complementing the flagship system are two flexible compute nodes, the GIGABYTE TO25-ZU4 and TO25-ZU5, both supporting AMD CPUs and offering versatile networking and storage options.

To effectively train and deploy generative AI, large language models, or agentic AI, it's crucial to build parallel computing infrastructure that offers the best performance to meet the demands of AI/ML workloads but also offers the kind of flexibility that the future of AI demands. A key aspect for consideration is the ability to scale-out the intra-node GPU-GPU communication network in the data center.

At AMD, we believe in preserving customer choice by providing customers with easily scalable solutions that work across an open ecosystem, reducing total cost of ownership—without sacrificing performance. Remaining true to that ethos, last October, we announced the upcoming release of the new AMD Pensando Pollara 400 AI NIC. Today we're excited to share the industry's first fully programmable AI NIC designed with developing Ultra Ethernet Consortium (UEC) standards and features is available for purchase now. So, how has the Pensando Pollara 400 AI NIC been uniquely designed to accelerate AI workloads at scale?