👀 ICYMI: Rapids cuDF is coming to Google Colab to accelerate data science in the cloud ➡️ https://nvda.ws/3xKP9nB ✨ Get speeds up to 50x faster when running your notebooks from anywhere.
Google Colab accelerating data science with RAPIDS 😎 💚 speed ups 💚
NVIDIA AI In order to harmonize the technologies of high data throughput and huge computational power, it needs multilingual metadata to manage/process the high volumes of data assets from multilingual and cross-sector data sources, unstructured and without unified framework. We are using our expertise/IP, a copyrighted multilingual metadata, to do what AI, like ChatGPT, can't do in data analytics NOW. Do you or any contacts of yours need our expertise/IP? Thanks. Metadata is an enabler. It's a digital content, NOT a technology. It's like a treasure map, curated by human for treasure hunting. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, quantum computers, etc. https://lnkd.in/g-aJFnXR 關於 AI 人工智能的一些事實 (Chinese version): https://lnkd.in/eeVbdcza Some fact findings about AI (English version): https://lnkd.in/gwcPNUPP
Will have to try this out! Jacob Tomlinson I remember you talking about Rapids, is that what you work on?
It’s interesting to see how Nvidia is pushing boundaries for data processing and acceleration, Network Optimization and finally Ai LLMs .Nvidia GPU have become one of crucial assets for any data organization to have their hybrid cloud on premises, cloud .Ai can evolve safely in hybrid environments with all safety controls in place .
👍 #Social #SocialClub #AI
Have a great day friends and enjoy your day!
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Cool
Great News!
Assistant Center Manager at CSL Plasma
3hImpressive growth!