AI & RoboticsNews

Caterpillar taps Nvidia to bring AI to its construction equipment

Caterpillar is digging deeper into incorporating AI and automation into its fleet of construction machinery through a partnership with semiconductor giant Nvidia. The construction equipment giant is piloting an AI assistive system in its mid-size Cat 306 CR Mini Excavator. Dubbed “Cat AI,” the system was built using Nvidia’s Jetson Thor physical AI platform, and is being demoed…
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AI & RoboticsNews

Positron believes it has found the secret to take on Nvidia in AI inference chips — here’s how it could benefit enterprises

As demand for large-scale AI deployment skyrockets, the lesser-known, private chip startup Positron is positioning itself as a direct challenger to market leader Nvidia by offering dedicated, energy-efficient, memory-optimized inference chips aimed at relieving the industry’s mounting cost, power, and availability bottlenecks. “A key differentiator is our ability to run frontier AI models with…
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AI & RoboticsNews

Nvidia accelerates Google quantum AI design with quantum physics simulation

Nvidia it is working with Google Quantum AI to accelerate the design of its next-generation quantum computing devices using simulations powered by Nvidia. Google Quantum AI is using the hybrid quantum-classical computing platform and the Nvidia Eos supercomputer to simulate the physics of its quantum processors. This will help overcome the current limitations of quantum computing hardware, which…
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AI & RoboticsNews

The AI beat goes on…with a farewell | The AI Beat

Last weekend I flew to San Francisco, preparing for several days of immersion into all things Nvidia and AI. I needed to muster all of my energy for the company’s annual GTC conference, but I didn’t sleep in. I shrugged off my jet lag and headed down to Monterey for two…
AI & RoboticsNews

NVIDIA and Supermicro on the gen AI tech stack critical for success

Generative AI offers real ROI — but also consumes a huge amount of compute and resources. In this VB Spotlight event, leaders from NVIDIA and Supermicro share how to identify critical use cases and the build the AI-ready platform that’s crucial for success. Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually across industries. But it’s also resource-hungry…
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