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Nvidia GTC (GPU Technology Conference) is a global artificial intelligence (AI) conference for developers that brings together developers, engineers, researchers, inventors, and IT professionals. [1] Topics focus on AI, computer graphics , data science , machine learning and autonomous machines .
The GeForce 40 series is a family of consumer-level graphics processing units developed by Nvidia, succeeding the GeForce 30 series.The series was announced on September 20, 2022, at the GPU Technology Conference (GTC), and launched on October 12, 2022, starting with its flagship model, the RTX 4090. [1]
Announced March 2024, GB200 NVL72 connects 36 Grace Neoverse V2 72-core CPUs and 72 B100 GPUs in a rack-scale design. The GB200 NVL72 is a liquid-cooled, rack-scale solution that boasts a 72-GPU NVLink domain that acts as a single massive GPU . Nvidia DGX GB200 offers 13.5 TB HBM3e of shared memory with linear scalability for giant AI models ...
Rubin is a microarchitecture for GPUs by Nvidia announced at Computex in Taipei in 2024 by CEO Jensen Huang. It is named after astrophysicist Vera Rubin and will consist of a GPU named Rubin and a CPU named Vera. The chips will be manufactured by TSMC using a 3nm process and will use HBM4 memory. It is scheduled for mass production in late 2025 ...
Intel XeSS is a real-time deep learning image upsampling technology developed primarily for use in video games as a competitor to Nvidia's DLSS and AMD's FSR technologies. Additionally, XeSS is not restricted to Arc graphics cards.
RDNA 3 is a GPU microarchitecture designed by AMD, released with the Radeon RX 7000 series on December 13, 2022. Alongside powering the RX 7000 series, RDNA 3 is also featured in the SoCs designed by AMD for the Asus ROG Ally , Lenovo Legion Go , and the PlayStation 5 Pro consoles.
Nvidia Tesla C2075. Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. [4] As of 2012, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.
In April 2016, Nvidia produced the DGX-1 based on an 8 GPU cluster, to improve the ability of users to use deep learning by combining GPUs with integrated deep learning software. [187] Nvidia gifted its first DGX-1 to OpenAI in August 2016 to help it train larger and more complex AI models with the capability of reducing processing time from ...