GigaIO launched Manticore, a self-contained half-rack datacenter-class infrastructure running outside the datacenter to enable large machine learning and AI inference workloads on-site.
Published
Signal category
Products & Services
Quote
“GigaIO's #Manticore runs datacenter-class infrastructure outside of the datacenter, enabling you to run large machine learning and AI inference workloads on-site in a self-contained half-rack.”
— GigaIO team
Company
GigaIO
Uncompromised AI inference power anywhere you can wheel it: fully independent, field-serviceable, on-prem infrastructure
- Industry
- IT Services and IT Consulting
- Location
- Carlsbad, US
- Company size
- 31 employees
GigaIO delivers datacenter-class computing at the edge, providing meaningful AI inferencing where the data is created and where answers are actually needed. GRYF: THE FIRST EVER CARRY-ON SUITCASE-SIZED AI SUPERCOMPUTER GigaIO’s flagship product, Gryf, is the only portable edge AI platform with datacenter-class hardware 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. GigaIO’s patented technology enables data processing to be run on fully independent, completely ruggedized, field-serviceable units, even when cloud dependency is not an option. RETHINKING OLD PARADIGMS AND DELIVERING NEW APPROACHES For decades, data collected in the field was sent to huge datacenters that are expensive to build and maintain. But today’s AI models generate data faster than the network can transport it, at times in places where the network does not reach or is exceedingly expensive, and in some cases, decisions cannot wait for a round trip. As AI becomes an increasingly integrated part of business and daily life, the ability to execute sophisticated workloads closer to data inputs and outputs becomes ever more essential. GigaIO has rethought the long-standing paradigm of stripped-down capabilities at the edge and is focused on delivering new approaches with mobile datacenter-class hardware that can execute increasingly complex use cases wherever they are needed.
Founded 2017