With an optimized thermal design, H14 servers provide enhanced cooling efficiency saving valuable space in data centers. This leads to a lower total cost of ownership (TCO) minimizing energy consumption and maximizing operational efficiency.
H14 systems offer the highest compute power for both consolidated CPU performance and distributed/virtualized per core performance. This makes it ideal for businesses that need to scale computing dynamically, supporting both large-scale consolidation and individual, and virtualized environments with seamlessly efficiency.
The H14 generation stands out with AMD EPYC™ 9005 CPUs processors that deliver the most powerful per core performance and the highest core counts ever seen in a Supermicro AMD EPYC™ system. This ensures superior processing power for intensive workloads, AI applications, and data-heavy tasks.
The Supermicro H14 Servers, powered by AMD EPYC™ 9005 processors, offer up to 192 cores and 384 threads, providing industry-leading compute density. This enables high core count and frequency for AI-optimized workloads and enterprise applications, making them ideal for cloud providers and high-performance computing environments.
Universal GPU optimized for AI/ Deep Learning and HPC
Maximum Acceleration for AI Training and LLM
Industry Leading IOPS Servers with Energy Efficiency and Flexibility
Leading Multi-Node Architecture with Front or Rear I/O
2U Liquid-cooled multi-node Architecture for high-density and efficiency
All-in-One Servers with Flexible I/O Options for Cloud Scale Data Centers
Time-to-Deployment
Supermicro’s global production capabilities allow for rapid deployment, offering up to 5,000+ racks per week, including 1,350+ liquid-cooled racks. Systems move from design to delivery in weeks, ensuring that companies can deploy AI and high-performance solutions quickly.
With Supermicro’s Building Block Architecture, users can customize expansion, acceleration, networking, and storage. This broad portfolio supports AI, HPC, and cloud-native solutions, supporting Zen 4 and Zen 5 generation processors. In addition, liquid cooling options ensure efficiency and performance at rack scale.
The Supermicro H14 Servers, powered by AMD EPYC™ 9005 processors, offer up to 192 cores and 384 threads, providing industry-leading compute density. This enables high core count and frequency for AI-optimized workloads and enterprise applications, making them ideal for cloud providers and high-performance computing environments.
The Supermicro H14 Servers are designed to bring maximum performance, efficiency, and scalability to data centers, ensuring readiness for AI-driven workloads. Powered by AMD EPYC™ 9005 series processors, these servers are engineered to handle the most demanding enterprise and cloud-native applications with an emphasis on high performance and power efficiency.
With support for "Zen 5C" cores and 384 threads per socket, Supermicro’s H14 Servers deliver a powerful compute platform ideal for dense high performance environments. Coupled with AMD Instinct™ accelerators, these systems are optimized for AI, machine learning, and high-performance computing (HPC) workloads.
These servers offer air or liquid cooling options for enhanced power efficiency, and a flexible, rack-scale architecture that allows customization for various enterprise applications.
AMD Instinct™ accelerators are engineered from the ground up for this new era of data center computing, supercharging HPC and AI workloads to propel new discoveries.
Let AMD Ryzen™ Threadripper™ PRO processors be the productivity boosting engine at the heart of your next professional workstation.
Take on the most demanding games with the massive performance boost delivered by AMD Ryzen 7000X3D Series processors with AMD 3D V-Cache technology.
4th Gen EPYC™ processors are designed to deliver accelerated business results while lowering costs, power, and server footprint.
Turn your data center into a competitive advantage with Supermicro & AMD – setting superior standards for performance, security and scalability for your most demanding workloads.