Intelligent Data Centres Issue 77 | Page 59

Supermicro to offer liquid and air-cooled AI solutions with new AMD GPUs

Supermicro inc has announced its new gpu server range will feature AMD Instinct MI350 series GPUs. The systems, available in both liquid and aircooled options, are designed for high performance, scalability and energy efficiency in AI applications.

The Supermicro H14 generation of GPU optimised solutions featuring dual AMD EPYC 9005 CPUs along with the AMD Instinct MI350 series GPUs, are designed for organisations seeking maximum performance at scale, while reducing the total cost of ownership for their AI-driven data centres.

" Supermicro continues to lead the industry with the most experience in delivering high-performance systems designed for AI and HPC applications," said Charles Liang, president and CEO of Supermicro.
" Our Data Center Building Block Solutions enable us to quickly deploy end-to-end data center solutions to market, bringing the latest technologies for the most demanding applications. The addition of the new AMD Instinct MI350 series GPUs to our GPU server line-up strengthens and expands our industry-leading AI solutions and gives customers greater choice and better performance as they design and build the next generation of data centers."
The systems are built on Supermicro ' s proven building-block architecture to help enterprise customers efficiently upgrade and scale their workloads. The new Supermicro GPU servers feature both the latest AMD EPYC CPU and AMD Instinct GPUs which together offer a powerhouse family of AI-enabled solutions, adding to Supermicro ' s data center building block solutions( DCBBS) ensuring customer success from consultation to on-site deployment and support.
" Our new AMD Instinct MI350 series delivers up to 40 % more tokens-per-dollar relative to the competition, while retaining the industry standard form factor for OEM infrastructure compatibility," said Dr. Lisa Su, CEO and Chair, AMD. " By combining these GPUs with Supermicro ' s proven platforms, their customers can deploy fully integrated, air- or liquidcooled racks built entirely on AMD technology, giving them the flexibility and efficiency they need to deploy robust AI solutions at any scale."
Supermicro is expanding its proven liquid-cooled and aircooled high-performance fabric 8-GPU system, leveraging the open multi-architecture industry standard OCP Accelerator Module( OAM) to support the latest AMD Instinct MI350 series GPUs. For higher-density environments, the 4U liquid-cooled system with AMD Instinct MI355X GPUs features Supermicro ' s new improved Direct Liquid Cooling( DLC) architecture incorporating new technologies for cooling various server
components and reducing power consumption by up to 40 %, unlocking higher performance per rack and supporting advanced cooling infrastructure at scale.
Customers can choose Supermicro ' s 4U liquid-cooled option for higher-density rack-scale deployments as well as the 8U option for air-cooled environments.
Designed to maximise computational throughput, memory bandwidth utilization, and energy efficiency to enable more power-efficient AI inference. these accelerated GPU servers with AMD Instinct MI350 series will offer 288GB HBM3e per GPU, boosting 1.5x memory capacity compared to previous generations of AMD Instinct accelerator, 8TB / s bandwidth, and 1.8x petaflops of FP16 / FP8 compared to the previous generation Instinct MI325X, so customers can process more data faster for their AI workloads.
" AI models aren ' t just increasing in size; they ' re demanding faster, more efficient infrastructure that can stay consistently deployable in real-world environments," said Paul Schell, Industry Analyst at ABI Research.
" By adding AMD MI350 series GPUs into its latest H14 generation, Supermicro demonstrates a commitment to providing scalable, high-performance and memory solutions that are optimized for both AI training and inference. With support for both liquid and air cooling, these systems offer the flexibility and efficiency that CSPs, neo-clouds and enterprises alike need to power the next wave of AI growth." �
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