President & Teaching Pastor for Living on the Edge, Suwanee, GA (‘96- present) President of Walk Thru the Bible (‘02-‘07) Atlanta, GA Santa Cruz Bible Church (‘90-‘02) Santa Cruz, CA Country Bible Church (‘82-‘90) Kaufman, TX
Experience: As a pastor, author, coach, and teacher for 25 years, my goal has been to help people around the world breakout of spiritual ruts to live out God’s purpose for their lives.
M from Dallas Theological Seminary- Grad 1984 and B.A from West Liberty State College (went on a baseball scholarship and played basketball)- Grad 1976 What follows are the 10 biggest Nvidia news stories of 2023 so far, including developments related to generative AI, cloud computing, gaming, chip manufacturing and high-performance computing. Generative AI has triggered a sense of urgency in enterprises worldwide To develop AI strategies,” Huang said in March. Startups are racing to build disruptive products and business models while incumbents are looking to respond. These rewards include a sharp rise in Nvidia’s stock price, a surge in demand for the company’s data center GPUs and several new partnerships to deliver its full-stack computing capabilities.
Now Nvidia is reaping big rewards for making those long-term investments and strategic decisions thanks to the explosion in popularity of generative AI models like ChatGPT that have prompted many enterprises to consider developing custom models for their own use. This has transformed Nvidia from a GPU designer to what CEO Jensen Huang calls a “full-stack computing company” that can deliver entire systems pre-integrated with the company’s software. No chip company is enjoying the spotlight this year more than Nvidia, whose GPUs have become the primary engines behind popular generative AI applications like ChatGPT.Īs explained in CRN’s recent cover story about solution providers building AI businesses, Nvidia has cemented itself as a critical AI vendor in the channel thanks to how it has spent more than a decade developing chips, systems and software that handle several important aspects of AI applications, from processing and networking, to software development and management.
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