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.
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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.
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