zeb Named OpenAI Select Partner
zeb said in a press release that it has been named an OpenAI Select Partner within the OpenAI Partner Network. The program supports partners that build, sell, and deliver AI solutions using OpenAI models and products.
zeb said it will continue working with OpenAI to help organizations build, deploy, and scale AI systems. Its delivery model uses Substrate, a proprietary system that supports two internal groups: the Foundry for client delivery and the Forge for research.
The company said its work covers financial services, health care and life sciences, manufacturing, retail and supply chain, telecommunications, media and entertainment, and energy. zeb also said it plans to expand its OpenAI related offerings, scale customer deployments, and invest in talent and enablement.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Finance AI Weekly, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Finance
Oct 13 Manulife Launches Enterprise AI Platform Oct 13 Financial Stability Board Finalises Responsible AI Practices for G20 Oct 13 Mashreq Pilots IBM Bob for Software Engineering Oct 13 Voya Selects UnqorkAI for Retirement Experiences Oct 12 PayJoy to Acquire Finia AI Assets for Credit UnderwritingMore from Enterprise
Oct 13 Stryker Plans $400 Million CMR Surgical Investment Oct 13 Manulife Launches Enterprise AI Platform Oct 13 Docusign Brings Agreement Management to Salesforce, Agentforce and Slack Oct 13 Siteimprove Adds Accessibility Agents for WordPress and Drupal Oct 13 Salesforce Agrees to Acquire Loops for Tableau AnalyticsFinance AI Weekly
Weekly newsletter about AI in finance. Covers AI-driven trading, fintech innovations, and data analytics transforming markets
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
NLP Logix Joins OpenAI Partner Network as Select Partner
Fedstack Becomes an OpenAI Select Partner
OpsGuru Named OpenAI Select Partner
Huawei Introduces SCALE Partner System for Industry AI Projects
Healthee Plans Zoe Access Across AI Agents by 2027
Daily AI Brief: the AI news that matters, in your inbox.