Black Tech Street and NVIDIA Partner to Boost AI in Tulsa

Sep 4, 2025
Black Tech Street has signed an MOU with NVIDIA to advance AI education and innovation in Tulsa's Historic Greenwood, aiming to train 10,000 learners and support tech startups.

Black Tech Street has signed a Memorandum of Understanding (MOU) with NVIDIA to advance AI education and innovation in Tulsa, Oklahoma's Historic Greenwood district, announced in a press release. This collaboration aims to position Tulsa as a model for AI-driven economic empowerment and education.

The partnership will involve training up to 10,000 learners in collaboration with local educational institutions and community organizations. The initiative is part of Tulsa's Tech Hub coalition, which recently secured $51 million in funding, including $10.6 million for the creation of a Greenwood AI Center of Excellence led by Black Tech Street.

NVIDIA will provide advanced computing resources, including access to GPUs and cloud-based platforms, to support AI projects and startups. The collaboration also includes organizing community events and leveraging local networks to recruit participants for NVIDIA's training programs. This effort is expected to catalyze economic growth in the Greenwood District by supporting tech startups and creating high-paying jobs in the AI sector.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like AI in Education, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

Free newsletter

AI in Education

Weekly newsletter about AI in education. Covers AI-driven software for educators, schools, general innovations and regulatory updates.

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 more
Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.