Gcore Appoints AI Expert Prof. Dr. Feiyu Xu as Board Advisor
Gcore has strengthened its board by appointing Prof. Dr. Feiyu Xu, a leading figure in AI research and industry, as a board advisor. Announced in a press release, Prof. Dr. Xu brings extensive experience from her previous roles at SAP, Lenovo, and the German Research Centre for AI.
Prof. Dr. Xu will play a crucial role in shaping Gcore's AI vision and growth strategies. Her appointment is expected to guide the company's innovation in the edge AI field, leveraging Gcore's global infrastructure that spans six continents. This infrastructure includes over 180 edge locations, enabling businesses to deploy AI models with ultra-low latency.
Gcore's CEO, Andre Reitenbach, expressed confidence in Prof. Xu's ability to advance the company's mission to connect the world to AI. Prof. Xu herself stated her enthusiasm for joining a company that actively contributes to the AI ecosystem in Europe.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Nov 1 GO Telecom Awards $49.6 Million AI Data Center Contract to 3T Nov 1 KB Kookmin Bank to Lead $9.45 Billion AI Infrastructure Financing Nov 1 Aramco Closes Deal for 49% HUMAIN Stake With $2.6 Billion Cash Contribution Nov 1 Planet Classroom Episode Examines AI Climate Costs and Uses Nov 1 Intel Stock Falls 29% in Worst Day Since 1974More from Enterprise
Nov 1 GO Telecom Awards $49.6 Million AI Data Center Contract to 3T Nov 1 Context Labs Launches AI Distillery for Sovereign Enterprise AI Oct 31 Orange Cyberdefense Gets Early Access to Cyber Version of Mistral Large 4 Oct 31 Ares Intelligence Raises €2.9 Million for AI Adoption Planning Oct 31 About 50 Samsung Affiliate Presidents Meet Sam Altman on AIEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
HKU and GCSA Establish AI and Cybersecurity Research Centre
Level AI Adds Shane Abeyratne to CX Advisory Board
Lovelace Adds R.V. Guha to Strategic Advisory Board
EDGE AI Foundation Forms Three Edge AI Working Groups
ThinkLabs AI Adds Dragos CEO Robert M. Lee to Board
Daily AI Brief: the AI news that matters, in your inbox.