Amanda Saunders – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-02-17T05:27:49Z http://www.open-lab.net/blog/feed/ Amanda Saunders <![CDATA[Deploying Accelerated Llama 3.2 from the Edge to the Cloud]]> http://www.open-lab.net/blog/?p=89436 2024-11-07T05:08:12Z 2024-09-25T18:39:49Z Expanding the open-source Meta Llama collection of models, the Llama 3.2 collection includes vision language models (VLMs), small language models (SLMs), and an...]]>

Expanding the open-source Meta Llama collection of models, the Llama 3.2 collection includes vision language models (VLMs), small language models (SLMs), and an updated Llama Guard model with support for vision. When paired with the NVIDIA accelerated computing platform, Llama 3.2 offers developers, researchers, and enterprises valuable new capabilities and optimizations to realize their…

Source

]]>
Amanda Saunders <![CDATA[A Deep Dive into the Latest AI Models Optimized with NVIDIA NIM]]> http://www.open-lab.net/blog/?p=86500 2024-10-28T21:55:46Z 2024-08-06T16:00:00Z Delivered as optimized containers, NVIDIA NIM microservices are designed to accelerate AI application development for businesses of all sizes, paving the way...]]>

Delivered as optimized containers, NVIDIA NIM microservices are designed to accelerate AI application development for businesses of all sizes, paving the way for rapid production and deployment of AI technologies. The set of microservices can be used to build and deploy AI solutions across speech AI, data retrieval, digital biology, digital humans, simulation, and large language models (LLMs).

Source

]]>
Amanda Saunders <![CDATA[Power Your AI Projects with New NVIDIA NIMs for Mistral and Mixtral Models]]> http://www.open-lab.net/blog/?p=84992 2024-07-25T18:14:44Z 2024-07-15T19:00:00Z Large language models (LLMs) are growing in adoption across enterprise organizations, with many building them into their AI applications. Foundation models are...]]>

Large language models (LLMs) are growing in adoption across enterprise organizations, with many building them into their AI applications. Foundation models are powerful starting points but require work to build into production-ready environments. NVIDIA NIM simplifies this process, enabling organizations to run AI models anywhere, across the data center, cloud, workstations, and PCs.

Source

]]>
Amanda Saunders <![CDATA[Develop Custom Enterprise Generative AI with NVIDIA NeMo]]> http://www.open-lab.net/blog/?p=80360 2025-02-17T05:27:49Z 2024-03-27T20:00:00Z Generative AI is transforming computing, paving new avenues for humans to interact with computers in natural, intuitive ways. For enterprises, the prospect of...]]>

Generative AI is transforming computing, paving new avenues for humans to interact with computers in natural, intuitive ways. For enterprises, the prospect of generative AI is vast. Businesses can tap into their rich datasets to streamline time-consuming tasks—from text summarization and translation to insight prediction and content generation. But they must also navigate adoption challenges.

Source

]]>
Amanda Saunders <![CDATA[NVIDIA NIM Offers Optimized Inference Microservices for Deploying AI Models at Scale]]> http://www.open-lab.net/blog/?p=79467 2024-06-03T15:44:17Z 2024-03-18T22:00:00Z The rise in generative AI adoption has been remarkable. Catalyzed by the launch of OpenAI��s ChatGPT in 2022, the new technology amassed over 100M users within...]]>

The rise in generative AI adoption has been remarkable. Catalyzed by the launch of OpenAI’s ChatGPT in 2022, the new technology amassed over 100M users within months and drove a surge of development activities across almost every industry. By 2023, developers began POCs using APIs and open-source community models from Meta, Mistral, Stability, and more. Entering 2024…

Source

]]>
Amanda Saunders <![CDATA[NVIDIA AI Foundation Models: Build Custom Enterprise Chatbots and Co-Pilots with Production-Ready LLMs]]> http://www.open-lab.net/blog/?p=73296 2024-11-20T23:03:22Z 2023-11-15T16:00:00Z Large language models (LLMs) are revolutionizing data science, enabling advanced capabilities in natural language understanding, AI, and machine learning....]]>

Large language models (LLMs) are revolutionizing data science, enabling advanced capabilities in natural language understanding, AI, and machine learning. Custom LLMs, tailored for domain-specific insights, are finding increased traction in enterprise applications. The NVIDIA Nemotron-3 8B family of foundation models is a powerful new tool for building production-ready generative AI…

Source

]]>
4
Amanda Saunders <![CDATA[Unlocking the Power of Enterprise-Ready LLMs with NVIDIA NeMo]]> http://www.open-lab.net/blog/?p=68768 2024-11-20T23:03:57Z 2023-08-08T18:35:11Z For more information about NVIDIA NeMo, see Develop Custom Enterprise Generative AI with NVIDIA NeMo. Generative AI has introduced a new era in computing, one...]]>

For more information about NVIDIA NeMo, see Develop Custom Enterprise Generative AI with NVIDIA NeMo. Generative AI has introduced a new era in computing, one promising to revolutionize human-computer interaction. At the forefront of this technological marvel are large language models (LLMs), empowering enterprises to recognize, summarize, translate, predict, and generate content using large…

Source

]]>
1
Amanda Saunders <![CDATA[Bringing Data Center Management Features to the Edge]]> http://www.open-lab.net/blog/?p=59884 2023-01-26T19:29:42Z 2023-01-23T18:00:00Z NVIDIA Fleet Command announced new features giving IT administrators more advanced controls and protection for edge environments. Unlike traditional data...]]>

NVIDIA Fleet Command announced new features giving IT administrators more advanced controls and protection for edge environments. Unlike traditional data centers with hundreds of servers in a single location, edge deployments have one or two servers in thousands of locations. Traditional IT management tools struggle to meet the needs of these distributed environments, especially when it comes…

Source

]]>
0
Amanda Saunders <![CDATA[Steps to Getting Started with Edge AI]]> http://www.open-lab.net/blog/?p=46318 2023-06-12T21:33:11Z 2022-05-16T16:00:00Z The demand for edge computing is higher than ever, driven by the pandemic, the need for more efficient business processes, as well as key advances in the...]]>

The demand for edge computing is higher than ever, driven by the pandemic, the need for more efficient business processes, as well as key advances in the Internet of Things (IoT), 5G, and AI. In a study published by IBM in May 2021, 94% of surveyed executives said that their organizations will implement edge computing in the next 5 years. Edge AI, the combination of edge computing and AI…

Source

]]>
0
Amanda Saunders <![CDATA[Building an Edge Strategy: Cost Factors]]> http://www.open-lab.net/blog/?p=46137 2023-06-12T20:53:22Z 2022-04-06T16:00:00Z The growth in Internet of Things (IoT) and enterprise adoption of AI has led to a renewed focus on edge computing. Organizations are looking to capitalize on...]]>

The growth in Internet of Things (IoT) and enterprise adoption of AI has led to a renewed focus on edge computing. Organizations are looking to capitalize on the data these IoT devices produce at the edge and solve challenges that were previously impossible with centralized data centers or cloud computing. When combined edge computing and AI, also known as edge AI, is used for real-time…

Source

]]>
0
Amanda Saunders <![CDATA[Managing Edge AI with the NVIDIA LaunchPad Free Trial]]> http://www.open-lab.net/blog/?p=44519 2023-06-12T21:04:19Z 2022-03-11T17:00:00Z With the growth of AI applications being deployed at the edge, IT organizations are looking at the best way to deploy and manage their edge computing systems...]]>

With the growth of AI applications being deployed at the edge, IT organizations are looking at the best way to deploy and manage their edge computing systems and software. NVIDIA Fleet Command brings secure edge AI to enterprises of any size by transforming NVIDIA-Certified Systems into secure edge appliances and connecting them to the cloud in minutes. In the cloud, you can deploy and manage…

Source

]]>
0
Amanda Saunders <![CDATA[Different Types of Edge Computing]]> http://www.open-lab.net/blog/?p=44106 2022-08-21T23:53:24Z 2022-02-16T16:30:00Z Many organizations have started their journey towards edge computing to take advantage of data produced at the edge. The definition of edge computing is quite...]]>

Many organizations have started their journey towards edge computing to take advantage of data produced at the edge. The definition of edge computing is quite broad. Simply stated, it is moving compute power physically closer to where data is generated, usually an edge device or IoT sensor. This encompasses far edge scenarios like mobile devices and smart sensors, as well as more near edge…

Source

]]>
0
Amanda Saunders <![CDATA[NVIDIA GTC: Taking It to the Edge]]> http://www.open-lab.net/blog/?p=38078 2023-02-10T22:11:13Z 2021-10-14T16:30:00Z Today the terms Internet of Things (IoT), 5G, and edge computing are everywhere. With the explosive growth in IoT devices, the emergence of true 5G capable...]]>

Today the terms Internet of Things (IoT), 5G, and edge computing are everywhere. With the explosive growth in IoT devices, the emergence of true 5G capable networks, and the growth in AI, organizations are trying to figure out how to use these trends to help them get ahead. As the leader in AI, NVIDIA is bringing these topics to the forefront of our annual NVIDIA GTC, taking place November 8…

Source

]]>
0
Amanda Saunders <![CDATA[Considerations for Deploying AI at the Edge]]> http://www.open-lab.net/blog/?p=37124 2023-07-27T19:55:35Z 2021-09-07T19:15:58Z The growth of edge computing has been a hot topic in many industries. The value of smart infrastructure can mean improvements to overall operational efficiency,...]]>

The growth of edge computing has been a hot topic in many industries. The value of smart infrastructure can mean improvements to overall operational efficiency, safety, and even the bottom line. However, not all workloads need to be or even should be, deployed at the edge. Enterprises use a combination of edge computing and cloud computing when developing and deploying AI applications.

Source

]]>
0
Amanda Saunders <![CDATA[On-Demand Session: Deploying Highly Accurate Retail Applications Using a Digital Twin]]> http://www.open-lab.net/blog/?p=34557 2022-08-21T23:52:14Z 2021-07-19T16:00:00Z The retail supply chain is complex and includes everything from creating a product, distributing it, putting it on shelves in stores, to getting it into...]]>

The retail supply chain is complex and includes everything from creating a product, distributing it, putting it on shelves in stores, to getting it into customer hands. Retailers and Consumer Packaged Goods (CPG) companies must look at the entire supply chain for critical gaps and problems that can be solved with technology and automation. Computer vision has been implemented by many of these…

Source

]]>
0
Amanda Saunders <![CDATA[On-Demand Session: Deploying Edge AI in Manufacturing]]> http://www.open-lab.net/blog/?p=34549 2022-08-21T23:52:14Z 2021-07-16T13:00:00Z When it comes to production, companies spend endless cycles improving their processes to drive the most revenue. Manufacturing lines are rigorously tested, and...]]>

When it comes to production, companies spend endless cycles improving their processes to drive the most revenue. Manufacturing lines are rigorously tested, and any changes require downtime that can eat up a company’s profits. That’s where AI comes in. Manufacturing as an industry is ripe to experience the benefits of AI because it performs highly repeatable tasks that can each be tuned and…

Source

]]>
0
���˳���97caoporen����