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Nvidia unveils Workbench for managing AI workloads, updates Omniverse

CIO

adding support for the company’s cloud-native NeMo framework to build large language models (LLMs), as well as a new tool to manage multiple instances of Triton inference server to scale AI systems more easily. Artificial Intelligence, CIO, Cloud Management, Generative AI, IT Leadership

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Top 10 AI graduate degree programs

CIO

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering.

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Nvidia points to the future of AI hardware

CIO

During its GPU Technology Conference in mid-March, Nvidia previewed Blackwell, a powerful new GPU designed to run real-time generative AI on trillion-parameter large language models (LLMs), and Nvidia Inference Microservices (NIM), a software package to optimize inference for dozens of popular AI models.

Hardware 247
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Synthetaic raises $3.5M to train AI with synthetic data

TechCrunch

Synthetaic is a startup working to create data — specifically images — that can be used to train artificial intelligence. Founder and CEO Corey Jaskolski’s experience includes work with both National Geographic (where he was recently named Explorer of the Year ) and a 3D media startup. Image Credits: Synthetaic.

Training 237
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How Nvidia became a trillion-dollar company

CIO

Nvidia’s transformation from an accelerator of video games to an enabler of artificial intelligence (AI) and the industrial metaverse didn’t happen overnight—but the leap in its stock market value to over a trillion dollars did. Some of those models are truly gargantuan: OpenAI’s GPT-4 is said to have over 1 trillion parameters.

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Enterprise IT moves forward — cautiously — with generative AI

CIO

OpenAI’s text-generating ChatGPT, along with its image generation cousin DALL-E, are the most prominent among a series of large language models, also known as generative language models or generative AI, that have captured the public’s imagination over the last year.

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Sport analytics leverage AI and ML to improve the game

CIO

Computer vision, AI, and machine learning (ML) all now play a role. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk. Souza’s advice: Cultivate curiosity.

Sport 296