San Diego, California, March 17, 2022 – GigaIO, creator of next-generation data center rack-scale architecture for artificial intelligence (AI) and high-performance computing (HPC) solutions, today announced that it has joined NVIDIA Inception, a program designed to nurture startups revolutionizing industries with advancements in AI and data sciences. GigaIO offers a composable infrastructure solution that delivers unlimited flexibility along with the agility of the cloud, therefore allowing data scientists to build otherwise impossible serversTM for their AI workflows.
NVIDIA Inception will allow GigaIO to drive its business forward through go-to-market support, training, and technology assistance. The program will also offer GigaIO the opportunity to collaborate with industry-leading experts and other AI-driven organizations, rapidly accelerating the growth of GigaIO’s robust partner ecosystem.
“We are particularly excited to be part of NVIDIA’s Inception program because it’s our mission to bring access to HPC and AI to all data scientists and researchers,” said Alan Benjamin, CEO of GigaIO. “Joining this program accelerates our ability to partner with other vendors in the AI space on solutions to help AI users get to results faster.”
NVIDIA Inception is a program that helps startups during critical stages of product development, prototyping, and deployment. Every Inception member gets a custom set of ongoing benefits, such as NVIDIA Deep Learning Institute credits, marketing support, and technology assistance, which provide startups with the fundamental tools to help them grow.
Headquartered in Carlsbad, California, GigaIO democratizes AI and HPC architectures by delivering the elasticity of the cloud at a fraction of the TCO (Total Cost of Ownership). With its universal dynamic infrastructure fabric, FabreX™, and its innovative open architecture using industry-standard PCI Express/soon CXL technology, GigaIO breaks the constraints of the server box, liberating resources to shorten time to results. Data centers can scale up or scale out the performance of their systems, enabling their existing investment to flex as workloads and business change over time. For more information, contact email@example.com or visit www.gigaio.com. Follow GigaIO on Twitter and LinkedIn.