AI Networking Startup Cornelis Raises $205 Million to Challenge Nvidia
Cornelis Networks unveiled a new funding round and a product it says addresses idle GPU time caused by data bottlenecks, according to TechCrunch.
Cornelis Networks, a company focused on infrastructure for artificial intelligence data centers, has raised $205 million in new funding, according to a report from TechCrunch published September 14.
The funding is aimed at helping the company compete in a market currently dominated by Nvidia, which supplies much of the hardware and networking technology used to build large-scale AI computing clusters, TechCrunch reported.
Alongside the funding announcement, Cornelis introduced a product called Active Compute Fabric, described by TechCrunch as a networking technology designed to address a common inefficiency in AI data centers: GPUs sitting idle while they wait for data to arrive.
According to the report, this waiting time represents a significant amount of wasted computing capacity in AI infrastructure, a problem Cornelis says its new technology is built to reduce.
Further details about the investors participating in the funding round, the company's valuation, or additional technical specifications of the Active Compute Fabric product were not included in the available source material.
Sources
EGazette summarizes reporting from multiple sources; follow the links for the originals.
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