Alex Hays’ Post

Introducing #CocktailCloud 's #GPUSharing Function. #GPU is essential for #AI solutions! ▪ The GPU offers powerful computing capabilities, but it is crucial to utilize it efficiently due to its high cost. If you're looking for solutions to address GPU issues, check out the following features : 😉 ❇ Cocktail Cloud provides the GPU Sharing feature that does not affect individual applications. The GPU Sharing feature includes MIG (Multi-Instance GPU), which physically partitions the GPU into separate instances, and Time Slicing, which divides the GPU time among applications. 🔗 https://lnkd.in/euNAKnAF 🎥 If you would like more detailed information, please subscribe to the #AconSoft YouTube channel!

Register to hear how NVIDIA and Google Cloud have teamed up, using NVIDIA GPUs with Google Kubernetes Engine to remove the heavy lifting needed to set up AI deployments, automate orchestration, manage large training clusters, and serve low-latency inference. #GoogleCloudNext https://nvda.ws/4alKzdu

Is there any AI data products you know, that can interpret and answer the following humble but realistic Chinese-English multilingual questions? With our IP, a copyrighted multilingual metadata, we can answer. "Who, in the Ontario province of Canada, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" "Who, in the "江蘇‘’ province of China, has new US patents granted on the nearest Tuesday, when the USPTO releases the newly granted US patents on a weekly basis?" Metadata is an enabler. Without metadata, NO data can be found/retrieved, even by the most advanced technologies, like AI, NVIDIA chips, supercomputers, etc. https://lnkd.in/g-aJFnXR Experiment results showed that, with our intellectual property (IP), a copyrighted multilingual metadata, we are doing what AI, like ChatGPT, can't do in data analytics. Our IP can also make your information service UNIQUE in the world. Do you or any of your contacts need our expertise and our IP? " Thanks.

Dropping this quick NVIDIA VM on Google Cloud soon on (medium blog/lab) 😎 but until then catch up >> https://lnkd.in/gqrv8kfV. Also will be doing a book give away next week (Data Engineering with Google Cloud Platform - Second Edition) courtesy Packt.. but you would need to answer a question from the linked video to qualify so.. stay tuned.. #cloud #lab #ai #networking #googlecloud #google

“There’s a crucial need for automated cost optimization for AI”….Google Next presenter. The pivotal role of AI at Google Next is expected to significantly affect cloud expenditure. Dr. Xosphere has the prescription. Xosphere Instance Orchestrator automatically moves applications to the right place at the right time to dramatically reduce compute costs. The future is now. Get ready - Get Xosphere. Contact [email protected] to request a demonstration. #ec2 #aws #kubernetes #k8s #costoptimization #finops #gcp #googlecloud #SpotVM Xosphere FinOps Foundation

Listen to the executive panel discussion on AI & HPC in the cloud from #SC23. Learn from Intel, AWS, and Rescale experts about how they’re tackling HPC & AI challenges with Intel hardware and software. https://intel.ly/3Tozy5n #HPC #SC23 #ArtificialIntelligence

Exciting news! Google Cloud takes a pioneering step as a founding member of the DAOS Foundation, propelling the evolution of open-source storage for next-gen HPC and AI/ML. Our commitment to innovation is unwavering, as seen with the launch of Parallelstore—ushering in a new era of cloud storage performance. 🚀 #GoogleCloud #DAOSFoundation #TechInnovation #CloudStorageRevolution #DAOSFoundation #GoogleCloud #HPCInnovation #OpenSourceStorage #AIandML #TechCollaboration #CloudInfrastructure #SciTechAdvancements #Parallelstore #LinuxFoundation #CloudStorageRevolution #IntelInvestment #ScientificComputing #DataArchitecture #NextGenStorage

In case you missed it, Rapids cuDF is making its way to Google Colab, promising to revolutionize data science in the cloud. cuDF, a GPU-accelerated library for data manipulation, is designed to speed up data processing tasks, making it a game-changer for data scientists. By integrating with Google Colab, users can now harness the power of GPUs to handle large datasets more efficiently and perform complex computations faster than ever before. This collaboration aims to democratize access to high-performance data science tools, enhancing productivity and enabling more innovative research and analysis.

Intel® Tiber™ Developer Cloud offers free tools like Jupyter Notebooks and training exercises to learn specific AI frameworks to help optimize your models and workloads. In addition, the platform provides resources for generative AI tasks like 7B parameter LLMs or Stable Diffusion models. Check out this step-by-step guide to exploring #GenAI tasks with Jupyter Notebooks and Intel® Tiber™ Developer Cloud: https://intel.ly/4d4vXB6 #IntelTiber #DevCloud

Get Hands-on training on Generative AI and helping optimization challenges using Intel Tiber Developer Cloud, where you get a preinstalled library and benchmarking tool! #inteldeveloper #oneAPI #intel #instructor #expert #generativeai #llm #python