--- title: Keynote tags: GTC2023 description: Nvidia 2023 GTC keynote session --- # Keynote ## software platform (end-to-end) ### Holoscan Description: real time sensor process system. hardware: holoscan igx orin software: holoscan igx orin developer kits ### Nvidia Parabrivks description: end to end gene analysis platform ### Nvidia DGX cloud Description: Use to run Nvidia AI enterprise. Already build on Google GCP cloud, Azure cloud, Oracle cloud. ### Nvidia AI foundation Include: Nemo, Picasso, bionemo #### Nemo Support to train custom language model like (chat-gpt), also can set the boundry to avoid except reaponse(bussniess secret). #### Picasso Support to genertae image(diffusion v2.0), video(), and 3D resource use case: 1. gettyimages: Use picasso to build Editfy-Image and Edify-Video genrative model. 2. shutterstock: Develop Editfy-3D generative model. Help building 3D model creation, and using on omniverse and digital twins. 3. Adobe: Generate video and images #### bionemo Assist drug develop. ### Nvidia issac sim Use omniverse to generate data to train dactory robots ### grammarly ### tabnine Description: help developer write code ### omneky: Description: generte custonmize ads and copy ### core.ai ### jasper ### Insilico Description: Use AI to accelerate drug design ### Absci Description: Use AI to predict therapeutic antibodies ## software toolkit ### Nvidia software tool: 1. spark-rapids: big data data preprocessing lib 2. raft: 3. riva: 4. cuOpt: 5. CV-cuda: image preocess libary. Run image process in GPU.(3.6x faster) 6. VPF: video preocess libary 7. cuLitho: accerlate computed lithography (TSMC) ## hardware ### DGX: GPU: 8張H100(H100有 transform module for chatgpt),H100之間用NVLINK連接 (H100有 transform module for chatgpt) ### Grace CPU ### blue field ### Nvidia L4 - 120X Description: for video decoding transcoding, video content moderation Spec: 8-GPU ### Nvidia L40 Description: graph rendering, generative AI text-to-video. Inference service. Ten times the performance of Nvidia's T4. ### Nvidia H100 NVL -10x Description: The current support GPT3 server is HGX A00. Nvidia H100 NVL 10x faster than HGX A00 ### Grace Hopper 將cpu 和 gpu 之間溝通優化,比起傳統pcie介面快7倍 --- ## 補充 ### annouce release model: 1. GPT3-LLM ### tech: 1. ETA prediction --- ## 參考 * https://zhuanlan.zhihu.com/p/28010894 * https://ji3g4zo6qi6.medium.com/python-tips-5d36df9f6ad5 ## Thank you! :dash: You can find me on - GitHub: https://github.com/shaung08 - Email: a2369875@gmail.com