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GigaIO SuperNODE™
The World’s First 32 GPU Single-node Server

Stop by the GigaIO & AMD booth (#F19) to get the first look at the world’s first 32 GPU single-node server running AMD Instinct™ MI300X accelerators.

GigaIO provides a fast, simple, and secure on-ramp to Generative AI. The 32-GPU GigaIO SuperNODE is available NOW for next-gen AI and accelerated computing, despite the GPU squeeze.

“Less time messing with infrastructure — faster time to running LLMs and optimizing.”

— Greg Diamos, Co-founder & CTO, Lamini
SuperNODE: 32-GPU Server

Meet the Creator of FluidX3D and See One of the Largest
CFD Simulations

SuperNODE, the world’s first 32 GPU server, flawlessly executed one of the largest CFD simulations ever — the Concorde landing at 40 BILLION cells resolution — in a mere 33 hours. The secret? Massive GPU memory, making the complex fast and easy.

Download the Case Study

Meet Dr. Moritz Lehmann, Developer of FluidX3D, at the GigaIO and AMD booth (#F19) to learn more.
Meet Dr. Moritz Lehmann, Developer of FluidX3D, at the GigaIO and AMD booth (#F19) to learn more.
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Daily Demo:
See the SuperNODE Shatter the 8-GPU Barrier!

Stop by the AMD/GigaIO booth (#F19) for a live demo showing the SuperNODE with AMD MI300X GPUs running LLMs on a single node.

Monday: 18:00 

Tuesday: 14:00 

Wednesday: 14:00

Can’t make one of these times? Check out the AMD/GigaIO On Demand Webinar

Award-winning AI Technology

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Shatter the 8-GPU Server Barrier

SuperNODE is the flagship example of an impossible server for AI and workflows. Impossible servers can be configured from storage, accelerators, and even memory at a fraction of cloud TCO by optimizing the utilization and efficiency of your existing hardware.

AI infrastructure with ease — it’s all there, both software and hardware. The Easy Button for fully engineered AI and accelerated computing infrastructure that “Just Works.”

SuperNODE In the News

insideHPC logo

GigaIO Introduces 32 GPU Single-Node Supercomputer

Tom's Hardware Logo

32 AMD MI210 GPUs Render Massive Simulation; 33 Hours for One Second of Concorde Landing

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It only takes 32 AMD GPUs and 33 hours to run a 40 billion cell simulation of the Concorde supersonic plane

Network World Logo

GigaIO introduces single-node AI supercomputer

Graphic Speak Logo

GigaIO Unveils SuperNODE: A Powerful 32-GPU Engineered Solution

Mezha Media Logo

One of the most difficult problems of computational fluid dynamics: Concorde during landing [video]

HPCwire Logo

GigaIO’s New SuperNode Takes-off with Record Breaking AMD GPU Performance

The Next Platform Logo

Crafting A DGX-Alike AI Server Out Of AMD GPUs And PCI Switches

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Simulating the Concorde Supersonic Plane: A GPU-Powered Marvel

PC Games Hardware Logo

Mit 32 AMD-GPUs: GPU-Server erstellt sehenswerte Strömungssimulation der legendären Concorde

El Chapuzas Informático Logo

Así fue la mayor simulación aerodinámica: el Concorde, 32 GPU AMD y 33 horas de trabajo ¡para 1 segundo!

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GigaIO Unveils 32 GPU Single-Node Supercomputer

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Building Impossible Servers with GigaIO

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GigaIO Reveals Latest Breakthrough in Single-Node GPU Power

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GigaIO Secures Largest Order for SuperNODE Featuring AMD Instinct MI300X Accelerators

insideHPC logo

GigaIO’s SuperNODE to Power TensorWave Deployment with AMD MI300X

See For Yourself

AI Benchmarks
GigaIO SuperNODE Testing, LLaMA 7b Training Runtime Compared on a single node
GigaIO SuperNODE Testing, ResNet50 Performance on a Single Node
HPC Benchmarks
SuperNODE Testing: HPL Scaling on the GigaIO SuperNODE
SuperNODE Testing: HPCG Scaling Results on the GigaIO SuperNODE

Join GigaIO at an ISC BoF:
Increasing Memory Utilization and Reducing Total Memory Cost Using CXL

Come discuss the release of the CXL 3.1 specs and explore CXL features, use case enablement, and ROI examples when implementing CXL attached memory.

Monday, May 13 — 17:40-18:40 in Hall F (second floor)

Learn More

John Ihnotic - Sr. Director, Engineering
John Ihnotic,
Senior Director of Engineering, GigaIO

GigaIO SuperNODE: The World’s First 32 GPU Single-node Supercomputer

The GigaIO SuperNODE can connect up to 32 AMD or NVIDIA GPUs to a single node at the same latency and performance as if they were physically located inside the server box. Accelerators are seamlessly connected by GigaIO’s transformative PCIe memory fabric, FabreX, and can scale multiple accelerator technologies such as GPUs and FPGAs without the latency, cost, and power overhead required for multi-CPU systems.

See demo at our booth.

SuperNODE Testing Graphs 04-2024
Learn More
See Test Results

Revolutionize CFD with the SuperNODE

The world’s first 32 GPU server flawlessly executed one of the largest CFD simulations ever — the Concorde landing at 40 BILLION cells resolution — in a mere 33 hours. The secret? Massive GPU memory, making the complex fast and easy. Learn how the SuperNODE has revolutionized CFD with an innovative approach to solving for extreme-scale CFD in this remarkable case study. Stop by our booth to meet the FluidX3D developer, who performed this incredible benchmark.

Meet the FluidX3D developer at our booth.

Case Study Preview

Download the Case Study

The GigaIO Family Of Engineered Solutions, Powered By AMD

Make Science Simple. GigaIO has partnered with AMD to release a family of purpose-built Engineered Solutions that use composability to solve industry-specific challenges for Life Sciences, Manufacturing, and Education. Get the right hardware and software for each vertical — easy to install and easy to administer with NVIDIA BCM pre-installed. 

Learn more at our booth.

GigaIO Engineered Solutions, Powered by AMD Documents
Learn More
Read the Press Release

FabreX Universal Dynamic Memory Fabric

Let your software define your hardware. GigaIO provides workload-defined infrastructure through its universal dynamic memory fabric, which seamlessly composes rack-scale resources and integrates natively into industry-standard tools. Build impossible servers for HPC + AI workflows — from storage to accelerators to memory — at a fraction of cloud TCO, by optimizing the utilization and efficiency of your existing hardware.

See demo at our booth.

GigaIO FabreX Composable Memory Fabric Platform System Overview
Learn More
Download the System Overview

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Niraj Mathur

Niraj has over 20 years of industry experience in strategic and product marketing, product management, business development, customer applications and advanced silicon engineering. He has held senior leadership roles and led global, cross-functional teams to support these disciplines. Niraj was instrumental in driving numerous successful networking products at Nortel Networks, Quake Technologies, AppliedMicro, Snowbush, Gennum, Semtech and Rambus. He has defined, developed and supported carrier grade hardware and software for the world’s leading telecom, enterprise and cloud customers. His past projects include Ethernet PHYs, core Internet switches, metro optical routers, high-speed silicon IPs and PCI Express products. Niraj holds a Bachelor of Computer Engineering from McGill University and an MBA from Cornell University.

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