Vultr, the world's largest privately-held cloud infrastructure company, today announced that it is one of the first cloud providers to offer the new AMD EPYC 4005 Series processors. The AMD EPYC 4005 Series processors will be available on the Vultr platform, enabling enterprise-class features and leading performance for businesses and hosted IT service providers. The AMD EPYC 4005 Series processors extend the broad AMD EPYC processor family, powering a new line of cost-effective systems designed for growing businesses and hosted IT services providers that demand performance, advanced technologies, energy efficiency, and affordability. Servers featuring the high-performance AMD EPYC 4005 Series CPUs with streamlined memory and I/O feature sets are designed to deliver compelling system price-to-performance metrics on key customer workloads. Meanwhile, the combination of up to 16 SMT-capable cores and DDR5 memory in the AMD EPYC 4005 Series processors enables smooth execution of business-critical workloads, while maintaining the thermal and power efficiency characteristics crucial for affordable compute environments.

"Vultr is committed to delivering the most advanced cloud infrastructure with unrivaled price-to-performance," said J.J. Kardwell, CEO of Vultr. "The AMD EPYC 4005 Series provides straightforward deployment, scalability, high clock speed, energy efficiency, and best-in-class performance. Whether you are a business striving to scale reliably or a developer crafting the next groundbreaking innovation, these solutions are designed to deliver exceptional value and meet demanding requirements now and in the future." Vultr's launch of systems featuring the AMD EPYC 4245P and AMD EPYC 4345P processors will expand the company's robust line of Bare Metal solutions. Vultr will also feature the AMD EPYC 4345P as part of its High Frequency Compute (HFC) offerings for organizations requiring the highest clock speeds and access to locally-attached NVMe storage.

AMD's Instinct MI325X accelerator has struggled to gain traction with large customers, according to extensive data from SemiAnalysis. Launched in Q2 2025, the MI325X arrived roughly nine months after NVIDIA's H200 and concurrently with NVIDIA's "Blackwell" mass-production roll-out. That timing proved unfavourable, as many buyers opted instead for Blackwell's superior cost-per-performance ratio. Early interest from Microsoft in 2024 failed to translate into repeat orders. After the initial test purchases, Microsoft did not place any further commitments. In response, AMD reduced its margin expectations in an effort to attract other major clients. Oracle and a handful of additional hyperscalers have since expressed renewed interest, but these purchases remain modest compared with NVIDIA's volume.

A fundamental limitation of the MI325X is its eight-GPU scale-up capacity. By contrast, NVIDIA's rack-scale GB200 NVL72 supports up to 72 GPUs in a single cluster. For large-scale AI inference and frontier-level reasoning workloads, that difference is decisive. AMD positioned the MI325X against NVIDIA's air-cooled HGX B200 NVL8 and HGX B300 NVL16 modules. Even in that non-rack-scale segment, NVIDIA maintains an advantage in both raw performance and total-cost-of-ownership efficiency. Nonetheless, there remains potential for the MI325X in smaller-scale deployments that do not require extensive GPU clusters. Smaller model inference should be sufficient for eight GPU clusters, where lots of memory bandwidth and capacity are the primary needs. AMD continues to improve its software ecosystem and maintain competitive pricing, so AI labs developing mid-sized AI models may find the MI325X appealing.

Today, MLCommons announced new results for its industry-standard MLPerf Inference v5.0 benchmark suite, which delivers machine learning (ML) system performance benchmarking in an architecture-neutral, representative, and reproducible manner. The results highlight that the AI community is focusing much of its attention and efforts on generative AI scenarios, and that the combination of recent hardware and software advances optimized for generative AI have led to dramatic performance improvements over the past year.

The MLPerf Inference benchmark suite, which encompasses both datacenter and edge systems, is designed to measure how quickly systems can run AI and ML models across a variety of workloads. The open-source and peer-reviewed benchmark suite creates a level playing field for competition that drives innovation, performance, and energy efficiency for the entire industry. It also provides critical technical information for customers who are procuring and tuning AI systems. This round of MLPerf Inference results also includes tests for four new benchmarks: Llama 3.1 405B, Llama 2 70B Interactive for low-latency applications, RGAT, and Automotive PointPainting for 3D object detection.

Giga Computing, a subsidiary of GIGABYTE and a pioneer in AI-driven enterprise computing, is set to make a significant impact at Supercomputing Asia 2025 (SCA25) in Singapore (March 11-13). At booth #D5, GIGABYTE showcases its latest advancements in liquid cooling, solutions for AI training and high-performance computing (HPC). The booth highlights GIGABYTE's innovative technology and comprehensive direct liquid cooling (DLC) strategies, reinforcing its commitment to energy-efficient, high-performance computing.

Revolutionizing AI Training with DLC
A key highlight of GIGABYTE's showcase is the NVIDIA HGX H200 platform, a next-generation solution for AI workloads. GIGABYTE is presenting both its liquid-cooled G4L3-SD1 server and its air-cooled G893 series, providing businesses with advanced cooling solutions tailored for high-performance demands. The G4L3-SD1 server, equipped with CoolIT Systems' cold plates, effectively cools Intel Xeon CPUs and eight NVIDIA H200 GPUs, ensuring optimal performance with enhanced energy efficiency.

GIGABYTE, a global leader in computing innovation and technology, will showcase its full-spectrum AI computing solutions that bridge development to deployment at MWC 2025, taking place from March 3-6.

"AI+" and "Enterprise-Reinvented" are two of the themes for MWC. As enterprises accelerate their digital transformation and intelligent upgrades, the transition of AI applications from experimental development to democratized commercial deployment has become a critical turning point in the industry. Continuing its "ACCEVOLUTION" initiative, GIGABYTE provides the comprehensive infrastructure products and solutions spanning cloud-based supercomputing centers to edge computing terminals, aiming to accelerate the next evolution and empower industries to scale AI applications efficiently.
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ASUS today announced its groundbreaking next-generation infrastructure solutions at SC24, featuring a comprehensive lineup powered by AMD and Intel, as well as liquid-cooling solutions designed to accelerate the future of AI. By continuously pushing the limits of innovation, ASUS simplifies the complexities of AI and high-performance computing (HPC) through adaptive server solutions paired with expert cooling and software-development services, tailored for the exascale era and beyond. As a total-solution provider with a distinguished history in pioneering AI supercomputing, ASUS is committed to delivering exceptional value to its customers.

Comprehensive Lineup for AI and HPC Success
To fuel enterprise digital transformation through HPC and AI-driven architecture, ASUS provides a full lineup of server systems that are powered by AMD and Intel. Startups, research institutions, large enterprises or government organizations all could find the adaptive solutions to unlock value and accelerate business agility from the big data.

Giga Computing, a subsidiary of GIGABYTE and an industry leader in generative AI servers and advanced cooling technologies, shows off at SC24 how the GIGABYTE enterprise portfolio provides solutions for all applications, from cloud computing to AI to enterprise IT, including energy-efficient liquid-cooling technologies. This portfolio is made more complete by long-term collaborations with leading technology companies and emerging industry leaders, which will be showcased at GIGABYTE booth #3123 at SC24 (Nov. 19-21) in Atlanta. The booth is sectioned to put the spotlight on strategic technology collaborations, as well as direct liquid cooling partners.

The GIGABYTE booth will showcase an array of NVIDIA platforms built to keep up with the diversity of workloads and degrees of demands in applications of AI & HPC hardware. For a rack-scale AI solution using the NVIDIA GB200 NVL72 design, GIGABYTE displays how seventy-two GPUs can be in one rack with eighteen GIGABYTE servers each housing two NVIDIA Grace CPUs and four NVIDIA Blackwell GPUs. Another platform at the GIGABYTE booth is the NVIDIA HGX H200 platform. GIGABYTE exhibits both its liquid-cooling G4L3-SD1 server and an air-cooled version, G593-SD1.

ASUS today announced its groundbreaking next-generation infrastructure solutions at SC24, featuring a comprehensive lineup powered by AMD and Intel, as well as liquid-cooling solutions designed to accelerate the future of AI. By continuously pushing the limits of innovation, ASUS simplifies the complexities of AI and high-performance computing (HPC) through adaptive server solutions paired with expert cooling and software-development services, tailored for the exascale era and beyond. As a total-solution provider with a distinguished history in pioneering AI supercomputing, ASUS is committed to delivering exceptional value to its customers.

Comprehensive line-up for AI and HPC success
To fuel enterprise digital transformation through HPC and AI-driven architecture, ASUS provides a full lineup of server systems that powered by AMD and Intel. Startups, research institutions, large enterprises or government organizations all could find the adaptive solutions to unlock value and accelerate business agility from the big data.

Today, Lenovo announced its industry-leading ThinkSystem infrastructure solutions powered by AMD EPYC 9005 Series processors, as well as AMD Instinct MI325X accelerators. Backed by 225 of AMD's world-record performance benchmarks, the Lenovo ThinkSystem servers deliver an unparalleled combination of AMD technology-based performance and efficiency to tackle today's most demanding edge-to-cloud workloads, including AI training, inferencing and modeling.

"Lenovo is helping organizations of all sizes and across various industries achieve AI-powered business transformations," said Vlad Rozanovich, Senior Vice President, Lenovo Infrastructure Solutions Group. "Not only do we deliver unmatched performance, we offer the right mix of solutions to change the economics of AI and give customers faster time-to-value and improved total value of ownership."

Hewlett Packard Enterprise today announced the HPE ProLiant Compute XD685 for complex AI model training tasks, powered by 5th Gen AMD EPYC processors and AMD Instinct MI325X accelerators. The new HPE system is optimized to quickly deploy high-performing, secure and energy-efficient AI clusters for use in large language model training, natural language processing and multi-modal training.

The race is on to unlock the promise of AI and its potential to dramatically advance outcomes in workforce productivity, healthcare, climate sciences and much more. To capture this potential, AI service providers, governments and large model builders require flexible, high-performance solutions that can be brought to market quickly.

MiTAC Computing Technology Corporation, an industry-leading server platform design manufacturer and a subsidiary of MiTAC Holdings Corporation (TSE:3706), today announced the launch of its new high-performance servers, featuring the latest AMD EPYC 9005 Series CPUs and AMD Instinct MI325X accelerators.

"AMD is the trusted data center solutions provider of choice for leading enterprises worldwide, whether they are enabling corporate AI initiatives, building large-scale cloud deployments, or hosting critical business applications on-premises," said Ravi Kuppuswamy, senior vice president, Server Business Unit, AMD. "Our latest 5th Gen AMD EPYC CPUs provide the performance, flexibility and reliability - with compatibility across the x86 data center ecosystem - to deliver tailored solutions that meet the diverse demands of the modern data center."

ASRock Rack Inc., a leading innovative server company, announced upgrades to its extensive lineup to support AMD EPYC 9005 Series processors. Among these updates is the introduction of the new 6U8M-TURIN2 GPU server. This advanced platform features AMD Instinct MI325X accelerators, specifically optimized for intensive enterprise AI applications, and will be showcased at AMD Advancing AI 2024.

ASRock Rack Introduce GPU Servers Powered by AMD EPYC 9005 series processors
AMD today revealed the 5th Generation AMD EPYC processors, offering a wide range of core counts (up to 192 cores), frequencies (up to 5 GHz), and expansive cache capacities. Select high-frequency processors, such as the AMD EPYC 9575F, are optimized for use as host CPUs in GPU-enabled systems. Additionally, the just launched AMD Instinct MI325X accelerators feature substantial HBM3E memory and 6 TB/s of memory bandwidth, enabling quick access and efficient handling of large datasets and complex computations.

Supermicro, Inc., a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, announces the launch of a new series of servers, GPU-accelerated systems, and storage servers featuring the AMD EPYC 9005 Series processors and AMD Instinct MI325X GPUs. The new H14 product line represents one of the most extensive server families in the industry, including Supermicro's Hyper systems, the Twin multi-node servers, and AI inferencing GPU systems, all available with air or liquid cooling options. The new "Zen 5" processor core architecture implements full data path AVX-512 vector instructions for CPU-based AI inference and provides 17% better instructions per cycle (IPC) than the previous 4th generation EPYC processor, enabling more performance per core.

Supermicro's new H14 family uses the latest 5th Gen AMD EPYC processors which enable up to 192 cores per CPU with up to 500 W TDP (thermal design power). Supermicro has designed new H14 systems including the Hyper and FlexTwin systems which can accommodate the higher thermal requirements. The H14 family also includes three systems for AI training and inference workloads supporting up to 10 GPUs which feature the AMD EPYC 9005 Series CPU as the host processor and two which support the AMD Instinct MI325X GPU.

During its "Advancing AI" conference today, AMD has updated its AI accelerator portfolio with the Instinct MI325X accelerator, designed to succeed its MI300X predecessor. Built on the CDNA 3 architecture, Instinct MI325X brings a suite of improvements over the old SKU. Now, the MI325X features 256 GB of HBM3E memory running at 6 TB/s bandwidth. The capacity memory alone is a 1.8x improvement over the old MI300 SKU, which features 192 GB of regular HBM3 memory. Providing more memory capacity is crucial as upcoming AI workloads are training models with parameter counts measured in trillions, as opposed to billions with current models we have today. When it comes to compute resources, the Instinct MI325X provides 1.3 PetaFLOPS at FP16 and 2.6 PetaFLOPS at FP8 training and inference. This represents a 1.3x improvement over the Instinct MI300.

A chip alone is worthless without a good platform, and AMD decided to make the Instinct MI325X OAM modules a drop-in replacement for the current platform designed for MI300X, as they are both pin-compatible. In systems packing eight MI325X accelerators, there are 2 TB of HBM3E memory running at 48 TB/s memory bandwidth. Such a system achieves 10.4 PetaFLOPS of FP16 and 20.8 PetaFLOPS of FP8 compute performance. The company uses NVIDIA's H200 HGX as reference claims for its performance competitiveness, where the company claims that the Instinct MI325X outperforms NVIDIA H200 HGX system by 1.3x across the board in memory bandwidth, FP16 / FP8 compute performance and 1.8x in memory capacity.