Excited for #MsIgnite!!!! Here are my top picks for simulation sessions and labs:
π Design Patterns for Digital Engineering in an Agentic World Microsoft
https://t.co/kDWrMKV8eX
π Build a Digital Twin With Sight Machine
https://t.co/dJcU47w7lH
https://t.co/facl93QsMa
Watch this Two Minute Papers video to learn how Offset Geometric Contact (OGC) and other NVIDIA simulation technologies deliver digital worlds that are visually striking and highly efficient. π https://t.co/7f8qwbthgh
Want to learn what folks mean by "World Foundation Models" in Physical AI?
Discover what world foundation models are and how theyβre revolutionizing #AI systems like robots & autonomous vehicles. β‘οΈ https://t.co/vvCrsj6UJy
Learn how to deploy AI microservices in your own infrastructure, whether on-premises or in the cloud, and how to manage a generative AI pipeline on Kubernetes.
Register now for our upcoming webinar β‘οΈ https://t.co/gLRmvlcPHQ
π NIMs are now free for Developers. Members of the hashtag#NVIDIA Developer Program now have free access to downloadable NIM microservices for research, development and testing on up to two GPU nodes. π Get started: https://t.co/3NFqLq9sJi
The hardest problems in 3D are now being solved with AI. With new #OpenUSD NIMs, you can now develop applications for visualizing industrial design, engineering projects, and simulate environments to build the next wave of physical #AI and robots. https://t.co/aidk7cet6t
Oracle has gone All-IN with NVIDIA AI. Announced at #SIGGRAPH24: accelerate your generative AI, LLM, advanced graphics, and digital twin workloads with NVIDIA L40S GPUs - now available to order on Oracle Cloud Infrastructure. Read more. https://t.co/B2aH9D5IYX
π @GoogleDevs can immediately try high-performance Gemma 2 models on the NVIDIA API catalog and download NVIDIA NIM microservices for local development. β‘οΈ https://t.co/iGfF6LpUuY https://t.co/hbq9CU1CbM
Keep your GenAI model responses relevant. Learn how to achieve the most accurate responses for text Q&A in this upcoming webinar on August 7. https://t.co/mxPEk3fEOB
This is big :) NVIDIA partnered with @huggingface to launch inference-as-a-service, which helps devs quickly prototype with open-source #AI models hosted on the Hugging Face Hub and deploy them in production. https://t.co/wnGbRZbrIi
Join NVIDIA Founder and CEO Jensen Huang and WIRED's Lauren Goode in an insightful fireside chat to discover how #generativeAI and accelerated computing are transforming industries. Monday, July 29, 2:30 p.m. MT #SIGGARPH2024. https://t.co/WycYUXUy1X https://t.co/aGNrBMBYuu
Push the boundaries of building #generativeAI agents and enter the NVIDIA and LangChain #DevContest. π β‘οΈ https://t.co/n5m1FU9LSe π Contest runs from now to June 17. https://t.co/atG5XPGPI9
Join our webinar on July 23 to learn how the #financialservices industry is leveraging data analytics and #generativeAI to develop and backtest trading strategies, calibrate models, and perform causal risk scenario calculations. #capitalmarkets https://t.co/X2nJCEi4yl
Discover how top companies are leveraging #NVIDIAIsaac and Omniverse to accelerate robot capabilities by integrating real-time physically based rendering, physics simulation, and #genAI technology to drive the next era of AI-powered robots. https://t.co/BGIfM3c92u
This one is very cool. Utilidata is combining @Deloitte's industry experience and @NVIDIA's #AI tech, to revolutionize the grid. A much-needed collaboration as energy needs continue to stress the power grids for large cities.
https://t.co/b6LjsL7pXZ
NVIDIA TensorRT Model Optimizerβ¦the newest member of the #TensorRT ecosystem is a library of post-training and training-in-the-loop model optimization techniques. Read our blog β‘οΈ https://t.co/cdJz2FD5cF https://t.co/rn39VsnYzU
We are sponsoring the #opensource quantum hackathon, unitaryHACK. Register now to join NVIDIA in tackling CUDA-Q challenges and earning bounties by solving key issues. #unitaryhack2024 https://t.co/8f5RY1RSBJ
NVIDIA is accelerating #quantumcomputing efforts around the world - with #supercomputers in Germany, Japan, and Poland planning to use the open-source CUDA-Q platform to accelerate their work. #ISC24 https://t.co/HkFayL91kQ