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The Open AI Infrastructure Company
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GigaIO SuperNODE™:The World’s First
32 GPU Single-node AI Supercomputer

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 Great GPU Squeeze.

Stop by the GigaIO booth (2031) to get the first look at the world’s first 32 GPU single-node supercomputer.

Most Flexible Solution on the Market

Fast and Easy AI Entry

Available Now With 32 GPUs

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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. Run more workloads faster at lower cost through higher utilization of resources and more agile deployment.

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

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GigaIO’s SuperNODE to Power TensorWave Deployment with AMD MI300X

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GigaIO Secures Largest Order for SuperNODE Featuring AMD Instinct MI300X Accelerators

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GigaIO Reveals Latest Breakthrough in Single-Node GPU Power

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Building Impossible Servers with GigaIO

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

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

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

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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

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

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

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

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Simulating the Concorde Supersonic Plane: A GPU-Powered Marvel

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GigaIO introduces single-node AI supercomputer

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GigaIO Introduces 32 GPU Single-Node Supercomputer

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GigaIO Unveils 32 GPU Single-Node Supercomputer

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GigaIO Unveils SuperNODE: A Powerful 32-GPU Engineered Solution

See For Yourself

Testing Results for GigaIO SuperNODE, Hashcat and ResNet50

GigaIO Lighthouse User Group Meeting

Our GLUG meeting will be an interactive, no-holds-barred session where you’ll hear from the experts who have been developing and deploying our exciting next generation HPC technology.

Join us November 14th from 8:30am – 1:00pm

Register Now

Are You an AI Jedi?
 

Be an AI Jedi with GigaIO. Stop by booth 2031 for your lightsaber and give us your best Jedi pose. Photos will be posted in our Jedi Master gallery and the best pose of the day wins a prize.

Win a Star Wars Lego Set!

Jedi Master Photos

Build Impossible AI Infrastructure With Ease

Easy to deploy
Easy to integrate with existing tools

Easy to increase performance
Easy to reduce costs

AVAILABLE NOW

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

The GigaIO SuperNODE can connect up to 32 AMD Instinct™ MI210 GPUs or 24 NVIDIA A100s 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.

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Learn More
See Test Results

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

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 Bright Cluster Manager pre-installed. 

See demo at our booth.

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

The Components of SuperNODE

The components of a composable solution like SuperNODE consist of a memory fabric switch, pooling appliance, and network card, all powered by GigaIO’s universal dynamic memory fabric FabreX. These are the building blocks you need to dynamically configure infrastructure according to workload requirements.

See demo at our booth.

GigaIO Artemis Memory Fabric Switch
GigaIO Artemis Accelerator Pooling Appliance
GigaIO Artemis Network Adapter Card
Explore the SuperNODE Components
  • GigaIO Open Partner Ecosystem

    GigaIO relies on its growing network of technology and channel partners to deliver our composable infrastructure solutions with cloud agility and blazing performance. We innovate by ensuring our customers are not restricted to using hardware or software from a single vendor, avoiding vendor lock-in. This is only possible by staying clear of vendor-specific APIs and offering off-the-shelf software for managing composable systems. Both these strategies mean more profit potential for our channel partners, and more freedom of choice for end-users, within a carefully curated open standards ecosystem.

    Become a Partner

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GigaIO and FabreX are trademarks of GigaIO Networks, Inc., all rights reserved.

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Curious to see how it works? Check out this 15-minute demo on how to liberate your compute resources.

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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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