At COMPUTEX 2024, NVIDIA CEO Jensen Huang presented significant advances in robotics and industrial digitalization. The event highlighted how NVIDIA technology is transforming manufacturing and AI applications.
NVIDIA CEO Jensen Huang described the company’s progress in robotics and industrial digitalization at COMPUTEX 2024 in Taipei. He highlighted how manufacturers like Foxconn are using NVIDIA technology, including Omniverse, Isaac and Metropolis, to develop advanced robotic facilities. “Robotics is here. Physical AI is here. This is not science fiction and it is used everywhere in Taiwan,” Huang said.
Here are the key points from NVIDIA CEO Jensen Huang’s speech:
Accelerated platforms and AI factories
NVIDIA has announced that accelerated platforms are now fully operational. From AI PCs powered by NVIDIA RTX to enterprises building AI factories with NVIDIA’s full-stack computing platform, the future of computing is focused on speed and efficiency. “The future of computing is accelerating,” Huang said.
New roadmap for semiconductors
Huang unveiled a new semiconductor release roadmap with a one-year cycle. NVIDIA plans to introduce the Rubin platform following the upcoming Blackwell platform, with advanced GPUs, an Arm-based CPU called Vera, and new networking technologies such as NVLink 6. “Our basic philosophy is simple: build the full data center scale, disaggregate and sell parts on a yearly basis, pushing everything to the limits of technology,” Huang explains.
Sustainable computing
NVIDIA prioritizes sustainable computing by combining GPUs and CPUs to achieve up to 100x speeds with just a threefold increase in power consumption, resulting in 25x more performance per watt compared to CPUs alone. “Accelerated computing is sustainable computing,” Huang noted.
Industry partnerships and AI factory collaborations
Taiwanese manufacturers, including ASRock Rack, ASUS and GIGABYTE, are using NVIDIA GPUs and networking solutions to create advanced AI systems. The NVIDIA MGX modular reference design platform supports these systems, enabling optimal AI application performance. AMD and Intel also support the MGX architecture with their own CPU designs.
Next generation networks
Huang revealed plans for annual releases of Spectrum-X products to meet the demand for high-performance Ethernet networks for AI. NVIDIA Spectrum-X, the first Ethernet fabric built for AI, improves network performance by 1.6x compared to traditional Ethernet fabrics. Early adopters include CoreWeave and GMO Internet Group.
Empowering developers with NVIDIA NIM
NVIDIA introduced NIM (NVIDIA Inference Microservices) to help the world’s 28 million developers easily create generative AI applications. NIM provides models as optimized containers that can be deployed on different platforms. Partners like Cadence, Cloudera and Synopsys are integrating NIM to accelerate generative AI implementations.
AI-powered consumer devices
NVIDIA’s RTX AI PCs aim to enhance the consumer experience with more than 200 RTX AI laptops and more than 500 AI-powered apps and games. The RTX AI Toolkit and new PC-based NIM inference microservices for the NVIDIA ACE digital human platform demonstrate NVIDIA’s commitment to AI accessibility.
Real fantastic information can be found on site.Raise blog range