GigaIO Email Formats

IT Services and IT Consulting • Carlsbad, California, United States • 21-50 Employees

GigaIO Email Formats

GigaIO uses 4 email formats. The most common is {first initial}{last name} (e.g., jdoe@gigaio.com), used 63.9% of the time.

Format	Example	Percentage
{first initial}{last name}	jdoe@gigaio.com	63.9%
{first name}{last name}	johndoe@gigaio.com	27.8%
{first initial}	j@gigaio.com	5.6%
{first name}	john@gigaio.com	2.8%

Key Contacts at GigaIO

Alan Benjamin

Ceo And President

Scott Crouse

Director Of Operations

Jeff Gutterud

Director Of Hardware Engineering

Company overview

Headquarters	5924 Balfour Ct, Suite 1, Carlsbad, California 92008, US
Phone number	+17604878395
Website	gigaio.com
NAICS	5415
SIC	737
Keywords	CFD, Data Center, High Performance Computing, Artificial Intelligence, Simulation, Fpgas, HPC, Lean Startups, Accelerators, Edge Computing, Technology Startups, Gpus, Fine-Tuning, Composable Infrastructure, Ai/Ml/Dl, Slurm, RAG, Llms, Ai Supercomputer, Disaggregated Infrastructure, Energy-Efficient Computing, Inference Cards, Scale-Up Computing, Software-Defined Infrastructure
Founded	2017
Employees	21-50
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About GigaIO

GigaIO redefines scalable AI infrastructure, seamlessly bridging from edge to core with a dynamic, open platform built for every accelerator. Reduce power draw with GigaIO’s SuperNODE, the world’s most powerful and energy-efficient scale-up AI computing platform. Run AI jobs anywhere with Gryf, the world’s first suitcase-sized AI supercomputer that brings datacenter-class computing power directly to the edge. Both are easy to deploy and manage, utilizing GigaIO’s patented AI fabric that provides ultra-low latency and direct memory-to-memory communication between GPUs for near-perfect scaling for AI workloads. GigaIO’s open architecture supports NVIDIA and non-NVIDIA GPUs and inference cards in its comprehensive ecosystem of accelerator manufacturers, AI/HPC software providers, and storage vendors. GigaIO’s solutions provide superior performance for LLM inference, RAG, and fine-tuning, as well as for engineering and scientific workloads.