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GigaIO | SourceCode: Gryf™

The Datacenter Has Left the Building.

GigaIO’s Gryf brings uncompromised AI inference power anywhere you can wheel it — fully independent, field-serviceable, and built for where cloud dependency is not an option.

Find Out How

Trusted by the World’s Most Remarkable Organizations

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AI Inferencing Where You Need It

The data has always been at the edge. The compute is finally following. 

Co-designed by GigaIO and SourceCode, Gryf™ is the world’s first carry-on suitcase-sized AI supercomputer that brings datacenter-class computing power directly to the edge.

Gryf: AI Inferencing Where You Need It

Portability & Mobility

The mission can move, and the compute moves with it:

  • Take your data and processing with you wherever you go
  • Bring datacenter-class compute to places with poor and/or expensive connectivity
  • Travel in challenging environments with a ruggedized case

Configurability & Composability

No new hardware purchase, no re-engineering — just rearrange the sleds:

  • Six different sleds for GPU, compute, storage, and networking
  • Share storage or GPUs across multiple server sleds or VMs
  • Open platform built for any accelerator (GPUs, ASICs, inference cards)

Serviceability & Availability

Dramatically improve operational availability in environments without on-site support:

  • If something fails, simply swap sleds in minutes
  • Completely self-service — no technical expertise necessary
  • No downtime even if technicians are days or weeks away
Datacenter-class Computing at the Edge

GigaIO delivers meaningful AI inferencing wherever data is created and where answers are actually needed. Gryf is the only portable edge AI platform capable of supporting the full range of data processing needs — from the latest agentic AI inferencing, to machine and deep learning applications, to full-featured ISR analytics — all in a form factor that you can take anywhere you go.

Effortless AI Infrastructure

Deploy AI in minutes, not months. Groundbreaking platforms like ours were once thought impossible.

AI at Warp Speed

Bring processing power to where it’s needed — run AI inferencing where the data is being generated.

Up to 10x Compute Capability

2,500 W power capacity provides up to 10x that of competitors offering only 250-1,500 W.

Run 100 Million Parameters

Access up to 64 datacenter-class GPUs in a single server to train larger AI models.

Up to 5PB of Storage

Add storage sleds for an almost limitless storage capacity when needed.

Use Cases

Defense & Military Intelligence

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Energy and
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Media & Broadcasting

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Sports Analytics

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What They Say About Us
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“GigaIO has established itself as an early leader in the AI Infrastructure market segment with a solution that is based around well-accepted industry standards and provides support for heterogeneous compute, memory, storage, and networking device types.”

Eric Burgener,
Research Vice President,
Infrastructure Systems Group, IDC

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“Having seen the advantages that composable infrastructure provides for managing, protecting, and operating massive systems at scale, companies and countries should be looking to GigaIO’s AI fabric to help future-proof their dynamic, performance-intensive workflows.”

Earl J. DODD,
Global Practice Leader for HPC,
WWT

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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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