Here is a summary of yesterday's Nvidia GTC keynote speech by Jensen Huang for those of you who aren't familiar with the industry or simply have no time.
#Nvidia #geforce #gaming #metaverse #AI #Trending
Nvidia RTX 4th Gen. Ada Lovelace
-4x more processing throughput vs the RTX 3090Ti
-Shader Execution Recording (SER) improves super complex ray tracing calculation efficiency by rescheduling similar works to be executed at the same time.
-*Deep Learning Super Sampling (DLSS)
*DLSS 3.0
-Rendering pixels in real-time requires an insane amount of computation power
-DLSS uses AI to generate new frames by comparing current frames with prior frames to understand how a scene is changing
-ESSENTIALLY, DLSS 3 predicts new frames without involving the game
Major Update on Omniverse
-Platform for building and operating metaverse apps.
-New update includes; Omnigraphs, Physic, and JT connect
-Connect any stakeholders through the Geforce Now network
-*RTX Remix
*RTX Remix (SO EXCITED ABOUT THIS ONE)
-AI-assisted toolset has deep learning models to up-res textures and assets
-Convert materials to have physically accurate properties
-NOW Anyone can remaster their favorite games
NVIDIA AI | Drive Thor
-A new processor that centralizes the car computers (6 computers are needed in today's autonomous cars), reducing costs and powers
-Offers Nvidia Drive, an end-to-end platform for the development and deployment of autonomous vehicles
NVIDIA AI | Clara Holoscan
-A low latency imaging processing platform dedicated to Medical imaging and robotics
-Includes libraries for data processing, AI training, simulations, and robotics applications
-More than 70 leading medical companies are already developing Holoscan
NVIDIA AI | Issac for Autonomous Mobile Robots (AMRs)
-ARMs are essentially self-driving cars but for unstructured environments like factories, security, and hospitality
-Include fast-growing domain-specific libraries for data generation, AI training, mapping, and runtime stack
NVIDIA AI | BioNeMo LLM Service
-Large Language Model (LLM) can learn to understand languages without supervision or labeled datasets
-BioNeMo creates models that understand chemicals, proteins, DNA, and RNA sequences
-Will be pivotal for drug discovery
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