Nvidia Research is introducing a new AI model that largely automates the process of creating virtual worlds, making it easier for developers to populate games and VR experiences with a diverse array of 3D buildings, vehicles, characters and more. Trained using only 2D images, GET3D generates 3D shapes with high-fidelity textures and complex geometric details. GET3D can generate “a virtually unlimited number of 3D shapes based on the data it’s trained on,” according to Nvidia, which says the objects can be used in 3D representations of buildings or the great outdoors, in games or the metaverse. Continue reading Nvidia Debuts New AI Model That Quickly Generates Objects

Nvidia has begun previewing its latest H100 Tensor Core GPU, promising “an order-of-magnitude performance leap for large-scale AI and HPC” over previous iterations, according to the company. Nvidia founder and CEO Jensen Huang announced the Hopper earlier this year, and IT professionals’ website ServeTheHome recently had a chance to see a H100 SXM5 module demonstrated. Consuming up to 700W in an effort to deliver 60 FP64 Tensor teraflops, the module — which features 80 billion transistors and has 8448/16896 FP64/FP32 cores in addition to 538 Tensor cores — is described as “monstrous” in the best way. Continue reading Nvidia Touts New H100 GPU and Grace CPU Superchip for AI

Nvidia CEO Jensen Huang announced a host of new AI tech geared toward data centers at the GTC 2022 conference this week. Available in Q3, the H100 Tensor Core GPUs are built on the company’s new Hopper GPU architecture. Huang described the H100 as the next “engine of the world’s AI infrastructures.” Hopper debuts in Nvidia DGX H100 systems designed for enterprise. With data centers, “companies are manufacturing intelligence and operating giant AI factories,” Huang said, speaking from a real-time virtual environment in the firm’s Omniverse 3D simulation platform. Continue reading Nvidia Introduces New Architecture to Power AI Data Centers