Snowflake and NVIDIA Team to Help Businesses Harness Their Data for Generative AI in the Data Cloud

Snowflake (NYSE: SNOW), the Data Cloud company, and NVIDIA today announced at Snowflake Summit 2023 that they are partnering to provide businesses of all sizes with an accelerated path to create customized generative AI applications using their own proprietary data, all securely within the Snowflake Data Cloud.

NVIDIA Collaborates With Microsoft to Accelerate Enterprise-Ready Generative AI

NVIDIA today announced that it is integrating its NVIDIA AI Enterprise software into Microsoft’s Azure Machine Learning to help enterprises accelerate their AI initiatives. The integration will create a secure, enterprise-ready platform that enables Azure customers worldwide to quickly build, deploy and manage customized applications using the more than 100 NVIDIA AI frameworks and tools that come fully supported in NVIDIA AI Enterprise, the software layer of NVIDIA’s AI platform.

Deloitte Unveils Suite of AI Service Offerings Built on NVIDIA Platforms

Deloitte unveiled Quartz AI™, a suite of two new cross-industry AI service offerings to help clients unlock the transformative value of AI to solve key business challenges such as enhancing customer experiences, optimizing operations and launching innovative businesses in new markets. Built on the NVIDIA AI and NVIDIA Omniverse™ platforms, the new solutions include: Deloitte Compass AI for logistics and route optimization and Deloitte Frontline AI for retail, quick-service restaurants and customer service.

NVIDIA Brings Generative AI to World’s Enterprises With Cloud Services for Creating Large Language and Visual Models

To accelerate enterprise adoption of generative AI, NVIDIA announced a set of cloud services that enable businesses to build, refine and operate custom large language models and generative AI models that are trained with their own proprietary data and created for their unique domain-specific tasks.

NVIDIA Launches Inference Platforms for Large Language Models and Generative AI Workloads

NVIDIA launched four inference platforms optimized for a diverse set of rapidly emerging generative AI applications — helping developers quickly build specialized, AI-powered applications that can deliver new services and insights. The platforms combine NVIDIA’s full stack of inference software with the latest NVIDIA Ada, NVIDIA Hopper™ and NVIDIA Grace Hopper™ processors — including the NVIDIA L4 Tensor Core GPU and the NVIDIA H100 NVL GPU, both launched at GTC.

Domino Data Lab Makes Cutting-Edge AI Accessible to All Enterprises

Domino Data Lab, provider of a leading Enterprise MLOps platform trusted by over 20% of the Fortune 100, today at NVIDIA’s GTC, a global conference on AI and the Metaverse, announced powerful new updates giving every enterprise access to cutting-edge open-source tools and techniques to achieve AI value sooner.

Milvus 2.3 Massively Accelerates AI-Powered Applications With NVIDIA GPU Support 

Zilliz, the inventor of the open-source vector database Milvus, announced the launch of Milvus 2.3, featuring NVIDIA GPU support for greater flexibility and dramatic improvements in real-time workload performance. 

NVIDIA Hopper GPUs Expand Reach as Demand for AI Grows

NVIDIA and key partners today announced the availability of new products and services featuring the NVIDIA H100 Tensor Core GPU — the powerful GPU for AI — to address rapidly growing demand for generative AI training and inference. 

@insideBIGDATApodcast: The Open Source Stack Unleashing a Game-Changing AI Hardware Shift

Welcome to the insideBIGDATA series of podcast presentations, a highly curated collection of topics relevant to our global audience. Topics include big data, data science, machine learning, AI, and deep learning. Enjoy! This episode discusses the emerging open source software stack for PyTorch that makes it easier and more accessible to implement non-NVIDIA backends.

The Ultimate Guide for Computer Vision Deployment on NVIDIA Jetson

Our friends from the Deci Team offer “The Ultimate Guide for Computer Vision Deployment on NVIDIA Jetson” which is perfect if you’re running or planning to run computer vision applications on NVIDIA Jetson devices. Written by Deci’s deep learning engineers for deep learning engineers, here’s what you’ll learn: (i) Best practices and technical know-how on model selection, training, optimization and deployment on Jetson, (ii) Tips for selecting the right NVIDIA Jetson for your use case, (iii) Code, tools, further resources for every recommendation provided