Google Cloud’s Post

PSA: learn more about Trillium!

Join NVIDIA and Google in this session to see the combined power of working with the two leaders in AI.

NVIDIA and Google Cloud are making it easier for enterprises to accelerate time to solution with #generativeAI. Join us at #GoogleCloudNext 2023 on August 29-31 and come by Booth #1407 to learn about the full-stack NVIDIA #AI platform on Google Cloud. Register now.

Al and Accelerated Compute in the Cloud and at the Network Edge a chat with Ronnie Vasishta. Where, Ronnie introduces the unique capabilities from NVIDIA for telecom operators as the company supports cloud migration for workloads benefiting from accelerated computation, ranging from video analytics to Al. Working closely with AWS NVIDIA enables applications to seamlessly run in the cloud and at the edge, specifically with a focus on monetizing 5G. Together, both companies bring an Al and cloud partner and developer network to telco operators to help them leapfrog into an ecosystem play for 5G. Based on that, Ronnie explores Al use cases that can be leveraged by telco operators, such as digital twins with Omniverse, generative Al and more. https://lnkd.in/eFhbZ6FD

Looking to run and scale your AI/ML workloads? Join us on January 30th as we take a deep dive into how GKE can accelerate and efficiently scale your AI/ML workloads with GPU time-sharing and Cloud TPUs, all in under 40 mins. Register here → https://lnkd.in/eDgxU3v3

Looks like Nvidia is sold out through the end of the year. Telcos who were planning to build their on premise LLMs are S.o.L. They are going to have to go to the public cloud - AWS or Google - to get access to AI chips like Trainium, Inferentia, and TPU to run their #GenAI workloads.

Looking to run and scale your AI/ML workloads? Join us on January 30th as we take a deep dive into how GKE can accelerate and efficiently scale your AI/ML workloads with GPU time-sharing and Cloud TPUs, all in under 40 mins. Register here → https://lnkd.in/eJ7Aq-_m

Looking to run and scale your AI/ML workloads? Join us on January 30th as we take a deep dive into how GKE can accelerate and efficiently scale your AI/ML workloads with GPU time-sharing and Cloud TPUs, all in under 40 mins. Register here → https://lnkd.in/dxue5MBy

Looking to run and scale your AI/ML workloads? Join us on January 30th as we take a deep dive into how GKE can accelerate and efficiently scale your AI/ML workloads with GPU time-sharing and Cloud TPUs, all in under 40 mins. Register here → https://lnkd.in/ebG2qmst

Looking to run and scale your AI/ML workloads? Join us on January 30th as we take a deep dive into how GKE can accelerate and efficiently scale your AI/ML workloads with GPU time-sharing and Cloud TPUs, all in under 40 mins. Register here → https://lnkd.in/eJ53X9bP