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GigaIO at ISC 2025
ISC High Performance, 2025 logo
GigaIO at ISC 2025
ISC High Performance, 2025 logo

Empowering Every Accelerator
to Lead the AI Revolution

— Find Us At Booth H22 —

GigaIO redefines scalable AI infrastructure, delivering edge-to-core AI platforms for all accelerators that are easy to deploy and manage:

At the Edge: Gryf™
Gryf

 

Gryf is the world’s first suitcase-sized AI supercomputer bringing datacenter-class computing power directly to the edge.

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In the Datacenter: SuperNODE™
featured-img_supernode-1

 

SuperNODE is the world’s most powerful and energy-efficient scale-up AI computing platform.

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RESEARCH PAPER PRESENTATION

Rail-optimized PCIe Topologies for LLMs

Scaling LLMs efficiently requires innovative approaches to GPU interconnects, and GigaIO’s rail-optimized, PCIe-based AI fabric topologies offer up to 3.7x improved collective performance with an accelerator-agnostic design, ensuring adaptability across diverse AI workloads. This paper explores optimized network architectures for large language model training and inference.

Thursday, 12 June, 2025 — 9:00 AM to 9:25 AM
Hall F — 2nd floor

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Benjamin Kitor
Benjamin Kitor,
Senior Network Software Engineer,
GigaIO
Konstantin Rygol,
Konstantin Rygol,
Artificial Intelligence Manager,
GigaIO

Breakthrough
AI Performance:

2x Faster Training and Fine Tuning with 83.5x Lower Latency

As AI models grow more complex, many teams face a critical bottleneck they didn’t anticipate: interconnect inefficiency.

SuperNODE Performance Benchmarks

Want smarter interconnects for power-constrained AI?

See how our AI fabric outperforms RoCE across NVIDIA A100 and AMD MI300X on training and inference benchmarks.

wp-mockup_smarter_interconnects_pg1
DOWNLOAD THE
TWO-PAGE OVERVIEW
DOWNLOAD THE
FULL WHITE PAPER

Our latest benchmarks reveal that GigaIO’s AI fabric outperforms traditional RoCE Ethernet in every AI workload, empowering organizations to:

Train models twice as fast
Reduce time to first token by 83.5x for instant user response
Cut power consumption by 35-40% without sacrificing performance
Deploy multi-GPU clusters faster and more easily
Achieve reduced infrastructure costs due to simpler hardware configurations

Gryf: The World’s First Suitcase-sized AI Supercomputer

Run AI jobs anywhere with Gryf, the world’s first portable AI supercomputer that brings datacenter-class computing power directly to the edge. Co-designed with SourceCode to be airline cabin-friendly, Gryf is purpose-built for go-anywhere insights, allowing users to quickly transform the vast amounts of sensor data collected at the edge into actionable solutions.

Come meet Gryf at our booth.

Gryf, sleds
Learn More
Read the Press Release

SuperNODE: The World’s Most Powerful Scale-up AI Platform

Reduce power draw with SuperNODE, the world’s most powerful and energy-efficient scale-up AI computing platform. SuperNODE streamlines inference and fine-tuning with a single, unified memory space, and its open architecture supports NVIDIA and non-NVIDIA GPUs as well as inference cards. Check out its record-breaking MLPerf Inference benchmark performance!

Check out the latest test results at our booth.

featured-img_supernode-1
Learn More
See MLPerf Benchmarks

GigaIO’s Next-Gen AI Fabric

Smarter interconnects can have a transformative impact on AI infrastructure. GigaIO’s patented AI fabric provides ultra-low latency and direct memory-to-memory communication between accelerators. In recent benchmarks, it achieved better results than RoCE across the entire AI work chain, including 2x faster training and fine-tuning and 83x better time to first token for inferencing.

Learn more at our booth.

GigaIO Next Gen Switch and APA
Learn More
See Benchmark Results

 

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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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