Intel AI’s Post

Learn how to train and predict time series data using the Chronos model with the power of 4th Gen Intel Xeon Scalable processors on the Intel Tiber Developer Cloud. Follow along with Robert Chesebrough’s step-by-step guide and set up your own AI sandbox for free today: https://intel.ly/3Wq0OSp #ArtificialIntelligence #IntelXeon #DeveloperCloud

Experts in action! Watch the Live interview from #sc23 and learn more about Sycomp Storage Fueled by IBM Storage Scale.

Run the very best on the very best cloud... This takes you through a hand-on demo to deploy and NVIDIA optimized VMI on Google Cloud. You'll also run a NVIDIA PyTorch notebook and connect via web browser. #google #cloud #ai #nvidia #networking

Grow your business by scaling up, out, & onward with the power of the cloud. ☁️💻🌍 https://go.aws/3KkCqe3 #AWS transforms business growth, cuts costs, & powers new possibilities. * Scale with ease: Elastic scaling supports workloads based on customer demand—so you can scale up, out, or down as needed. * Store data confidently: Designed for 99.999999999% object-level durability, Amazon #S3 allows you to easily store objects in the cloud—so there’s virtually no limit to how much you can securely haul. * Design faster & cost effectively: Access the on-demand infrastructure & capacity needed to run high performance computing simulations more quickly—scaling to tens of thousands of CPU cores & taking design time from weeks to days. #Compute

● Multi-cloud computing: More and more businesses are adopting a multi-cloud strategy, which means using multiple cloud providers to meet their different needs. This can help businesses improve performance, availability, and security. ● Edge computing: Edge computing is a new trend that brings computing resources closer to the end user. This can help improve latency and reduce bandwidth costs. ● Artificial intelligence (AI) and machine learning (ML): AI and ML are being used in cloud computing to automate tasks, improve security, and make better decisions

Amazing to think how many platforms are powered by Intel hardware. As we build out our beta and move to MVP, our deployment options are expanding so fast we will not have any pushback convincing customers to adopt and embed our systems. Bezoku, better not bigger (running on Intel)

Inside today’s Azure AI cloud data centers https://lnkd.in/gfTxqiYr Azure CTO Mark Russinovich’s annual Azure infrastructure presentations at Build are always fascinating as he explores the past, present, and future of the hardware that underpins the cloud. This year’s talk was no different, focusing on the same AI platform touted in the rest of the event. Over the years it’s been clear that Azure’s hardware has grown increasingly complex. At the start, it was a prime example of utility computing, using a single standard server design. Now it’s many different server types, able to support all classes of workloads. GPUs were added and now AI accelerators. To read this article in full, please click here

With NVIDIA AI Enterprise deployed on Oracle Cloud Supercluster, government agencies can significantly enhance their capabilities across a wide range of mission-critical domains by quickly processing large amounts of data for faster decision-making. https://lnkd.in/gBXteSVd