NVIDIA's Top 5 AI Developer Stories of the Month

September 18, 2019 | 97 views

Every month we bring you the top NVIDIA updates and stories for developers. In this month's edition of our top 5 videos, we highlight the latest version of TensorRT 6 Jetson-based robodog designed to serve as a service dog.

Spotlight

Revel Systems

Revel Systems is a feature-rich business platform transforming the way business is done by integrating all operations and customer channels, driven by the Point of Sale, into a single dashboard. Designed to maximize security, stability, ease of use, and service delivery, Revel’s ecosystem replaces bulky, expensive legacy solutions with a quick, intuitive iOS-based POS platform that combines cloud-based technology and the mobility of the iPad.

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SOFTWARE

Top 10 Low-Code App Development Platforms for Fast Custom App Creation

Article | July 14, 2022

Explore the top low-code platforms that enable fast and cost-effective app development with a strategic approach by creating and achieving MVPs and understanding the KPIs of a good platform. Contents 1 Low-Code Development Essentials: Creating and Deploying Effective MVPs 2 KPIs of a Good Low Code Development Platform 3 Top 10 Low-Code App Development Platforms 3.1 AIRKIT 3.2 BETTY BLOCKS 3.3 CREATIO 3.4 DECISIONS 3.5 INTERFACING 3.6 KISSFLOW 3.7 SKUID 3.8 TRACKVIA, INC. 3.9 ULTIMUS 3.10 XENOSS 4 Strategic Low-Code Development: Trend Forecast Analysis Low-code platforms have transformed software development, enabling fast and cost-effective app development. This article covers vital components like creating effective minimum viable products, execution strategies, and key performance indicators to look for in a good low code platform for mobile app development. The article also lists the top 10 platforms, like Airkit, Betty Blocks, and Creatio, which offer innovative solutions to reduce time-to-market and produce exceptional results. 1. Low-Code Development Essentials: Creating and Deploying Effective MVPs Creating a software product or app from scratch doesn't have to be long and tiresome when it can be fast and fun with the help of low-code application development platforms. Before you start building your app around the no code framework, you need to create a minimum viable product (MVP) that can thrive on its own in the market. Defining the attributes of your app to meet your value proposition is essential. Having a plan of execution alongside the best lowcode development tools leads to the success of your software development projects. Effective execution strategies and product development strategies are far more critical to the success of your product than the development process itself. Thanks to low-code platforms, developing and deploying the desired features in your app is faster and easier than ever before. Cutting down on the development time leaves you more time to think strategically about product design, marketing, and perhaps sales. 2. KPIs of a Good Low Code Development Platform Low-code platforms for mobile app development allow organizations to deliver new user experiences faster. While evaluating different low-code application development platforms that meet your business needs, we highly recommend these factors, KPIs, and features to look for: Drag-and-drop interface: Enables non-technical users to create apps, reducing IT burden. It boosts productivity and lowers development time and costs. Develop once and deploy anywhere: Low code mobile app development platforms create apps for multiple platforms (cross platforms) without extra coding. It cuts down on IT workload and speeds up time-to-market. Seamless integration with enterprise systems: Simplifies the integration of enterprise systems with low code app development platforms, trims development time and costs, and enhances system efficiency. Intelligent BI and analytics: Automatically analyzes data, minimizing the time and effort required for data analysis. Leverage insights for data-driven decisions and improves business outcomes. AI-enabled data enrichment: Automatically fills in missing values or adds more data points to enrich the data. Improves data quality and accuracy and reduces IT workload. Complete visibility of data with dashboards: Provides a real-time view of app performance and user behavior. Monitors and improves app performance and user experience. Compliance with international data security policies: Ensures compliance with GDPR, HIPAA, Intertek, BSI, and AICPA SOC, reducing the risk of data breaches and ensuring data privacy. Flexibility for coding and posting: Enables developers to use preferred coding languages and frameworks, improving developer productivity. Transparency and predictability with pricing: This provides transparency and predictability regarding pricing. Allows budgeting for app development and reduces the risk of cost overruns. Low-code platforms help businesses develop applications quickly and efficiently. They offer a visual development environment, integrate with existing systems, support rapid application development, cross-platform compatibility, customization, and security. They are an excellent solution for businesses wanting to build applications quickly and cost-effectively. 3. Top 10 Low-Code App Development Platforms Today's low-code development platforms, which use the most recent low code technology, put more emphasis on innovation and optimization of business processes than just quick development and deployment. When your prime focus is fast-paced app development, there are some platforms that go above and beyond to reduce time-to-market and produce exceptional results, as listed down below. 3.1 Airkit Building complex apps with beautiful front-end experiences requires custom components, workflows, and styles. Share and iterate with the team to collaborate on application development. Airkit uses a visual builder, conversation automation, agent automation, security, and integrations. Latching on to anything with pre-built integrations helps with fast and free additional functionalities. For excellent CX, use components for purpose-built CX across all platforms. Reusable components and templates for designing personalized cross platform buyer journeys. With app debuggers, you can debug, test, and preview apps and use multi-environment deployment with a single click. Manage and control security and scalability with role-based access, versioning and environments, as well as end-user authentication. 3.2 Betty Blocks Betty Blocks is an enterprise-grade no-code development platform that lets users build collaboratively with no limitations. It lets you build apps with rapid application development technology, automate processes, and maximize efficiency. It is utilized by citizen developers to build solutions that integrate with the current tech stack. Building internal applications, customer-facing apps, and process automations is simple and easy to innovate with Betty Blocks. It offers development, testing, and production environments on its public cloud as well as on-premise and cloud providers in its standard and enterprise plans, respectively. As far as free and fast integrations are concerned, it integrates with everything from its Betty Blocks Store. It also lets you build your own integrations using the API. Its intuitive drag-and-drop user interface builder allows reusability, radically shortens the time to market, and empowers the citizen development workforce. 3.3 Creatio Creatio is a no-code development platform with a compostable architecture. Creatio Studio allows for no-code application development with an extreme degree of freedom. It lets you select the available types of apps, connectors, and OOTB functionality templates to manage instances and facilitate the collaborative development process. It is packed with intuitive no-code design automation tools to create and modify pages and views, data models, workflows, and integrations in a no-code workplace. It has a library of predefined views, widgets, and templates to accelerate the design process. Optimize and manage structured and fluid processes using workflow management capabilities with advanced analytics. Add integrations with SOAP and REST integration connectors. Use AI and ML to automate your workflows and enhanced security and safety for enterprise application platform scalability. Using the collaborative process designer, accelerate process design and standardize process management with team efforts. 3.4 Decisions Decisions is a powerful low code automation platform and business process management software that is capable of building no-code and low code applications. It helps turn siloed decisions into centralized rules. Its no-code intelligent process automation platform enables the codification of business logic and automation decisions, manages workflows, finds and fixes problems, connects systems to unify operations, and designs seamless experiences. Its visual design interface helps to design, optimize, and launch complex processes without writing code. Building software apps that solve business problems by automating functions to simplify, standardize, and streamline business operations and stay compliant is easy with Decisions. 3.5 Interfacing. Intefacing offers a business transformation suite using low-code rapid application development technology. It primarily supports business process optimization, quality control, continuous improvement, change management, SOP development, digital transformation, business excellence, and stakeholder happiness. It extensively offers eFORMS, process automation, low code database table entity designer, system integration designer, tax monitoring and delegation, custom rules and actions, text and voice messaging services, custom dashboard design, and app mobile touchscreen for better control over your low code mobile app development. Interfacing allows building simple to complex consumer-focused applications and business processes in hours, not days. 3.6 Kissflow Kissflow's enterprise-grade low code application development platform lets businesses take control with no IT background. It helps digitize operations, automate processes, and modernize apps using its components. The software offers a comprehensive suite of features such as application builder, process designer, boards, reports, and analytics, and custom UI. It also provides collaboration, developer sandbox, extensive integrations, external portals, and roles-based access control for application deployment with new builds. Using a visual builder for forms with easy drag-and-drop options, work management, intuitive dashboards, communication, and collaboration, Kissflow has emerged as an industry standard in no-code development. Bring business and IT together with a DevOps approach, streamline ad-hoc requests, manage and control with a central console, and reap returns with high productivity and a lower time-to-market with Kissflow. 3.7 Skuid With Skuid, you can build low-code mobile apps from scratch for multiple platforms that are user-friendly. It allows design interdependence, composite apps, and rapid prototyping. Custom user experience options on Skuid NLX involve design decisions about interaction, navigation, and app structure. Skuid SFX helps build modern, custom Salesforce apps. It helps with lightning customization, portals and communities, and a high-performance engine. Skuid EXP for enterprise HR app creation brings features to maximize platform value, flexible deployment, and people-centered portal creation. Components on Skuid include account dashboards, customer request forms, opportunity management, quick orders, revenue and expense dashboards, dynamic forms, retail data dashboards, and a contact directory. These features help increase app adoption and innovation by 10x. 3.8 TrackVia, Inc. TrackVia helps automate processes in a business to connect and track everything that matters. It allows for seamless integration with existing ERP, CRM, BPM, financial systems, and more. It helps keep up with product and quality, compliance, custom workflows, supply chain management, project management, and field services. Its low-code app development platform enables users to build business apps without code and without limits with the help of its toolkit and a canvas. It brings intelligent workflow automation, single to multiple sandbox environments with unlimited applications and unlimited storage, and records for 1 administrator and 5 users. Its pricing plans include mobile, quick start, business, and enterprise for citizen developers in any industry. 3.9 Ultimus Ultimus offers a highly customizable platform with integration capabilities for business process management. It has a strong focus on security and compliance and offers scalability and dedicated support. Ultimus streamlines app development with a cost-effective platform, empowering non-IT business users to create custom apps easily. Its mobile-ready technology deploys on-cloud or on-premises servers, prioritizes decision-making, and improves the customer experience by eliminating isolated apps and data. A unified inbox and high-productivity portal fuses interactions with customers, employees, and partners. Ultimus avoids high upfront costs with flexible pricing options. 3.10 Xenoss Xenoss's mar-tech, low-code platform offers up to 40% cost savings and the fastest time-to-market in the industry. It has ad-tech and mar-tech parts like a bidding cluster, mission control, campaign front end, account server, logging cluster, predictor optimization engine, aggregator, reporter, DMP profile builder, DMP segment builder, DMP real-time audience DB cluster, health monitoring system, and real-time anti-fraud. Its feature set includes campaign management, budget management, creatives, supply integrations, device targeting, geographic targeting, audience targeting, dayparting, media planning, the DMP, automatic campaign optimization, manual campaign optimization, tracking, reporting, and analysis, support tools, and the data collection web SDK. It offers a customizable and integratable user-friendly platform. With a strong focus on scalability, it offers dedicated support. Its pricing is based on a per-user basis. 4. Strategic Low-Code Development: Trend Forecast Analysis Large companies will keep using low-code platforms for digital transformation in the near future because their visual interfaces and pre-built components can speed up software development. Strategic low-code development will be a must for reducing time-to-market, speeding up digital transformation, and putting security and compliance front and center. More and more people will use industry-specific solutions, AI integration, collaboration, and process automation, which will streamline operations and make them more efficient. Some of the best low code app development platforms will meet security and compliance requirements like HIPAA and PCI, so sensitive information will be safe. AI and machine learning tools will make it easier to solve problems and improve processes. This will bring IT and business operations closer than ever before. These automation platforms will be crucial to making businesses more profitable and stable because they will let them get the most done with the least amount of work.

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AI TECH

Empowering Industry 4.0 with Artificial Intelligence

Article | July 20, 2022

The next step in industrial technology is about robotics, computers and equipment becoming connected to the Internet of Things (IoT) and enhanced by machine learning algorithms. Industry 4.0 has the potential to be a powerful driver of economic growth, predicted to add between $500 billion- $1.5 trillion in value to the global economy between 2018 and 2022, according to a report by Capgemini.

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LOW-CODE APP DEVELOPMENT

How Artificial Intelligence Is Transforming Businesses

Article | April 20, 2023

Whilst there are many people that associate AI with sci-fi novels and films, its reputation as an antagonist to fictional dystopic worlds is now becoming a thing of the past, as the technology becomes more and more integrated into our everyday lives. AI technologies have become increasingly more present in our daily lives, not just with Alexa’s in the home, but also throughout businesses everywhere, disrupting a variety of different industries with often tremendous results. The technology has helped to streamline even the most mundane of tasks whilst having a breath-taking impact on a company’s efficiency and productivity

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The advances of AI in healthcare

Article | February 11, 2020

With the Government investing £250 million into the project, the Lab will consider how to use AI for the benefit of patients – whether this be the deployment of existing AI methods, the development of new technologies or the testing of their safety. Amongst other things, the initiative will aim to deliver earlier diagnoses of cancer. It is estimated that in excess of 50,000 extra patients could see their cancer being detected at an early stage, thus boosting survival rates. More specifically, a study has shown that AI is quicker in identifying brain tumour tissue than a pathologist.This would have a positive knock-on effect in other areas, such as enabling money to be saved (that otherwise would have been spent on further treatment) and reducing the workload of staff (at a time when there is a crisis in NHS workforce numbers).

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Spotlight

Revel Systems

Revel Systems is a feature-rich business platform transforming the way business is done by integrating all operations and customer channels, driven by the Point of Sale, into a single dashboard. Designed to maximize security, stability, ease of use, and service delivery, Revel’s ecosystem replaces bulky, expensive legacy solutions with a quick, intuitive iOS-based POS platform that combines cloud-based technology and the mobility of the iPad.

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AI TECH,GENERAL AI,SOFTWARE

Raydiant Acquires Sightcorp and Perch to Boost In-store Experience Using Enhanced AI and Computer Vision

Raydiant | January 12, 2023

On January 11, 2023, Raydiant, a leader in-store experiences, acquired Sightcorp and Perch, thereby deepening its AI and computer vision capabilities. Additionally, Raydiant has added hundreds of application partners in order to become the leading in-store experience platform. The completion of the two acquisitions will add increased capabilities to a single platform, thus enabling retailers to develop dynamic and data-driven experiences that only Raydiant can create. The new groundbreaking capabilities to enhance in-store experience include Lift-and-learn, People AI, Interactive digital signage and an Open application marketplace. Raydiant revealed that its Raydiant Marketplace now includes hundreds of partner applications, such as virtual try-On platforms PerfectCorp, FaceCake, and Holition; retail media network monetization platforms; inventory and planogram compliance detection; and employee management and gamification. Raydiant has also joined with the leading point-of-sale systems for catalogs, dynamic menus, pricing, and personalization, including Square, NCR, Lightspeed, Toast, PAR/Brink, and Clover. Six among the top 10 consumer packaged goods firms and six of the top 25 retailers use Raydiant's platform, which drives an average sales growth of 87%. In addition, Business Insider has named Raydiant as one of the top ten most promising startups among venture capitalists. Raydiant continues to bolster its platform to develop a truly personalized shopping experience that blends the best of digital and physical shopping, therefore enhancing customer engagement and loyalty. About Raydiant Founded in 2017 and headquartered in San Francisco, California, Raydiant is the prominent in-location experience management platform for the world's leading retail, e-commerce, restaurant, hospitality and banking companies. Its platform enables enterprises to develop customized and engaging end-to-end content experiences that drive more customer and employee engagement, hence boosting client revenue. Raydiant's cloud-based, plug-and-play solution allows clients to design, manage, and expand on-screen experiences across one or one hundred thousand locations, saving them time, resources, and logistical headaches. It works with more than 3,500 brands, from SMB to enterprise, including First Bank, Dickey's BBQ, Harvard University, The Salvation Army, Red Bull, Chick-Fil-A, Thomson Reuters, as well as the U.S. gourmet burger chain, Wahlburgers.

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AI TECH,GENERAL AI,FUTURE TECH

NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer

NVIDIA | November 17, 2022

NVIDIA today announced a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models. Azure’s cloud-based AI supercomputer includes powerful and scalable ND- and NC-series virtual machines optimized for AI distributed training and inference. It is the first public cloud to incorporate NVIDIA’s advanced AI stack, adding tens of thousands of NVIDIA A100 and H100 GPUs, NVIDIA Quantum-2 400Gb/s InfiniBand networking and the NVIDIA AI Enterprise software suite to its platform. As part of the collaboration, NVIDIA will utilize Azure’s scalable virtual machine instances to research and further accelerate advances in generative AI, a rapidly emerging area of AI in which foundational models like Megatron Turing NLG 530B are the basis for unsupervised, self-learning algorithms to create new text, code, digital images, video or audio. The companies will also collaborate to optimize Microsoft’s DeepSpeed deep learning optimization software. NVIDIA’s full stack of AI workflows and software development kits, optimized for Azure, will be made available to Azure enterprise customers. “AI technology advances as well as industry adoption are accelerating. The breakthrough of foundation models has triggered a tidal wave of research, fostered new startups and enabled new enterprise applications. “Our collaboration with Microsoft will provide researchers and companies with state-of-the-art AI infrastructure and software to capitalize on the transformative power of AI.” Manuvir Das, vice president of enterprise computing at NVIDIA “AI is fueling the next wave of automation across enterprises and industrial computing, enabling organizations to do more with less as they navigate economic uncertainties,” said Scott Guthrie, executive vice president of the Cloud + AI Group at Microsoft. “Our collaboration with NVIDIA unlocks the world’s most scalable supercomputer platform, which delivers state-of-the-art AI capabilities for every enterprise on Microsoft Azure.” Scalable Peak Performance With NVIDIA Compute and Quantum-2 InfiniBand on Azure Microsoft Azure’s AI-optimized virtual machine instances are architected with NVIDIA’s most advanced data center GPUs and are the first public cloud instances to incorporate NVIDIA Quantum-2 400Gb/s InfiniBand networking. Customers can deploy thousands of GPUs in a single cluster to train even the most massive large language models, build the most complex recommender systems at scale, and enable generative AI at scale. The current Azure instances feature NVIDIA Quantum 200Gb/s InfiniBand networking with NVIDIA A100 GPUs. Future ones will be integrated with NVIDIA Quantum-2 400Gb/s InfiniBand networking and NVIDIA H100 GPUs. Combined with Azure’s advanced compute cloud infrastructure, networking and storage, these AI-optimized offerings will provide scalable peak performance for AI training and deep learning inference workloads of any size. Accelerating AI Development and Deployment Additionally, the platform will support a broad range of AI applications and services, including Microsoft DeepSpeed and the NVIDIA AI Enterprise software suite. Microsoft DeepSpeed will leverage the NVIDIA H100 Transformer Engine to accelerate transformer-based models used for large language models, generative AI and writing computer code, among other applications. This technology applies 8-bit floating point precision capabilities to DeepSpeed to dramatically accelerate AI calculations for transformers — at twice the throughput of 16-bit operations. NVIDIA AI Enterprise — the globally adopted software of the NVIDIA AI platform — is certified and supported on Microsoft Azure instances with NVIDIA A100 GPUs. Support for Azure instances with NVIDIA H100 GPUs will be added in a future software release. NVIDIA AI Enterprise, which includes the NVIDIA Riva for speech AI and NVIDIA Morpheus cybersecurity application frameworks, streamlines each step of the AI workflow, from data processing and AI model training to simulation and large-scale deployment. About NVIDIA Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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GENERAL AI

Hayden AI Joins NVIDIA Metropolis to Power Its Computer Vision Platform

Hayden AI | August 17, 2022

Hayden AI, a global leader in artificial intelligence and machine learning technologies, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. NVIDIA Metropolis nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world’s most important spaces and operations safer and more efficient. “We’re thrilled to join Metropolis and incorporate NVIDIA’s vision AI tools into our patented perception platform. “NVIDIA tools enable us to collect and process data at the edge, enhancing our algorithms in real time and helping protect data security by limiting the amount of data transmitted to the cloud.” Chris Carson, co-founder and CEO of Hayden AI Hayden AI uses the NVIDIA Jetson edge AI platform to develop AI and machine learning technologies that will revolutionize how governments and businesses solve real-world problems. From bus lane and bus stop enforcement to digital twin modeling and more, Hayden AI customers use its mobile perception system to speed up transit, make streets safer and create a more sustainable future. “What differentiates Hayden AI’s automated traffic enforcement platform from our competitors is our unique ability to process traffic violations in real time at the edge, making Hayden AI a privacy-first platform,” said Vaibhav Ghadiok, co-founder and Executive Vice President of Engineering at Hayden AI. “Hayden AI strives to continually improve the performance and feature offering to our customers, and NVIDIA software enables faster development cycles, making the transition from development to production seamless." NVIDIA Metropolis makes it easier and more cost effective for enterprises, governments and integration partners to use world-class AI-enabled solutions to improve critical operational efficiency and safety problems. The NVIDIA Metropolis ecosystem contains a large and growing breadth of members who are investing in the most advanced AI techniques and most efficient deployment platforms and using an enterprise-class approach to their solutions. Members have the opportunity to gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. Further, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations. About Hayden AI At Hayden AI, we’re pioneering real world problem solving powered by AI and machine learning. From bus lane and bus stop enforcement to digital twin modeling and more, our clients use our mobile perception system to speed up transit, make streets safer, and create a more sustainable future. Our privacy first approach ensures that our technologies comply with security and privacy regulations and protect personal information while fostering innovation.

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AI TECH,GENERAL AI,SOFTWARE

Raydiant Acquires Sightcorp and Perch to Boost In-store Experience Using Enhanced AI and Computer Vision

Raydiant | January 12, 2023

On January 11, 2023, Raydiant, a leader in-store experiences, acquired Sightcorp and Perch, thereby deepening its AI and computer vision capabilities. Additionally, Raydiant has added hundreds of application partners in order to become the leading in-store experience platform. The completion of the two acquisitions will add increased capabilities to a single platform, thus enabling retailers to develop dynamic and data-driven experiences that only Raydiant can create. The new groundbreaking capabilities to enhance in-store experience include Lift-and-learn, People AI, Interactive digital signage and an Open application marketplace. Raydiant revealed that its Raydiant Marketplace now includes hundreds of partner applications, such as virtual try-On platforms PerfectCorp, FaceCake, and Holition; retail media network monetization platforms; inventory and planogram compliance detection; and employee management and gamification. Raydiant has also joined with the leading point-of-sale systems for catalogs, dynamic menus, pricing, and personalization, including Square, NCR, Lightspeed, Toast, PAR/Brink, and Clover. Six among the top 10 consumer packaged goods firms and six of the top 25 retailers use Raydiant's platform, which drives an average sales growth of 87%. In addition, Business Insider has named Raydiant as one of the top ten most promising startups among venture capitalists. Raydiant continues to bolster its platform to develop a truly personalized shopping experience that blends the best of digital and physical shopping, therefore enhancing customer engagement and loyalty. About Raydiant Founded in 2017 and headquartered in San Francisco, California, Raydiant is the prominent in-location experience management platform for the world's leading retail, e-commerce, restaurant, hospitality and banking companies. Its platform enables enterprises to develop customized and engaging end-to-end content experiences that drive more customer and employee engagement, hence boosting client revenue. Raydiant's cloud-based, plug-and-play solution allows clients to design, manage, and expand on-screen experiences across one or one hundred thousand locations, saving them time, resources, and logistical headaches. It works with more than 3,500 brands, from SMB to enterprise, including First Bank, Dickey's BBQ, Harvard University, The Salvation Army, Red Bull, Chick-Fil-A, Thomson Reuters, as well as the U.S. gourmet burger chain, Wahlburgers.

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AI TECH,GENERAL AI,FUTURE TECH

NVIDIA Teams With Microsoft to Build Massive Cloud AI Computer

NVIDIA | November 17, 2022

NVIDIA today announced a multi-year collaboration with Microsoft to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with NVIDIA GPUs, networking and full stack of AI software to help enterprises train, deploy and scale AI, including large, state-of-the-art models. Azure’s cloud-based AI supercomputer includes powerful and scalable ND- and NC-series virtual machines optimized for AI distributed training and inference. It is the first public cloud to incorporate NVIDIA’s advanced AI stack, adding tens of thousands of NVIDIA A100 and H100 GPUs, NVIDIA Quantum-2 400Gb/s InfiniBand networking and the NVIDIA AI Enterprise software suite to its platform. As part of the collaboration, NVIDIA will utilize Azure’s scalable virtual machine instances to research and further accelerate advances in generative AI, a rapidly emerging area of AI in which foundational models like Megatron Turing NLG 530B are the basis for unsupervised, self-learning algorithms to create new text, code, digital images, video or audio. The companies will also collaborate to optimize Microsoft’s DeepSpeed deep learning optimization software. NVIDIA’s full stack of AI workflows and software development kits, optimized for Azure, will be made available to Azure enterprise customers. “AI technology advances as well as industry adoption are accelerating. The breakthrough of foundation models has triggered a tidal wave of research, fostered new startups and enabled new enterprise applications. “Our collaboration with Microsoft will provide researchers and companies with state-of-the-art AI infrastructure and software to capitalize on the transformative power of AI.” Manuvir Das, vice president of enterprise computing at NVIDIA “AI is fueling the next wave of automation across enterprises and industrial computing, enabling organizations to do more with less as they navigate economic uncertainties,” said Scott Guthrie, executive vice president of the Cloud + AI Group at Microsoft. “Our collaboration with NVIDIA unlocks the world’s most scalable supercomputer platform, which delivers state-of-the-art AI capabilities for every enterprise on Microsoft Azure.” Scalable Peak Performance With NVIDIA Compute and Quantum-2 InfiniBand on Azure Microsoft Azure’s AI-optimized virtual machine instances are architected with NVIDIA’s most advanced data center GPUs and are the first public cloud instances to incorporate NVIDIA Quantum-2 400Gb/s InfiniBand networking. Customers can deploy thousands of GPUs in a single cluster to train even the most massive large language models, build the most complex recommender systems at scale, and enable generative AI at scale. The current Azure instances feature NVIDIA Quantum 200Gb/s InfiniBand networking with NVIDIA A100 GPUs. Future ones will be integrated with NVIDIA Quantum-2 400Gb/s InfiniBand networking and NVIDIA H100 GPUs. Combined with Azure’s advanced compute cloud infrastructure, networking and storage, these AI-optimized offerings will provide scalable peak performance for AI training and deep learning inference workloads of any size. Accelerating AI Development and Deployment Additionally, the platform will support a broad range of AI applications and services, including Microsoft DeepSpeed and the NVIDIA AI Enterprise software suite. Microsoft DeepSpeed will leverage the NVIDIA H100 Transformer Engine to accelerate transformer-based models used for large language models, generative AI and writing computer code, among other applications. This technology applies 8-bit floating point precision capabilities to DeepSpeed to dramatically accelerate AI calculations for transformers — at twice the throughput of 16-bit operations. NVIDIA AI Enterprise — the globally adopted software of the NVIDIA AI platform — is certified and supported on Microsoft Azure instances with NVIDIA A100 GPUs. Support for Azure instances with NVIDIA H100 GPUs will be added in a future software release. NVIDIA AI Enterprise, which includes the NVIDIA Riva for speech AI and NVIDIA Morpheus cybersecurity application frameworks, streamlines each step of the AI workflow, from data processing and AI model training to simulation and large-scale deployment. About NVIDIA Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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GENERAL AI

Hayden AI Joins NVIDIA Metropolis to Power Its Computer Vision Platform

Hayden AI | August 17, 2022

Hayden AI, a global leader in artificial intelligence and machine learning technologies, today announced it has joined NVIDIA Metropolis, a partner program focused on bringing to market a new generation of vision AI applications. NVIDIA Metropolis nurtures a rich ecosystem and offers powerful developer tools to supercharge vision AI applications that are designed to make the world’s most important spaces and operations safer and more efficient. “We’re thrilled to join Metropolis and incorporate NVIDIA’s vision AI tools into our patented perception platform. “NVIDIA tools enable us to collect and process data at the edge, enhancing our algorithms in real time and helping protect data security by limiting the amount of data transmitted to the cloud.” Chris Carson, co-founder and CEO of Hayden AI Hayden AI uses the NVIDIA Jetson edge AI platform to develop AI and machine learning technologies that will revolutionize how governments and businesses solve real-world problems. From bus lane and bus stop enforcement to digital twin modeling and more, Hayden AI customers use its mobile perception system to speed up transit, make streets safer and create a more sustainable future. “What differentiates Hayden AI’s automated traffic enforcement platform from our competitors is our unique ability to process traffic violations in real time at the edge, making Hayden AI a privacy-first platform,” said Vaibhav Ghadiok, co-founder and Executive Vice President of Engineering at Hayden AI. “Hayden AI strives to continually improve the performance and feature offering to our customers, and NVIDIA software enables faster development cycles, making the transition from development to production seamless." NVIDIA Metropolis makes it easier and more cost effective for enterprises, governments and integration partners to use world-class AI-enabled solutions to improve critical operational efficiency and safety problems. The NVIDIA Metropolis ecosystem contains a large and growing breadth of members who are investing in the most advanced AI techniques and most efficient deployment platforms and using an enterprise-class approach to their solutions. Members have the opportunity to gain early access to NVIDIA platform updates to further enhance and accelerate their AI application development efforts. Further, the program offers the opportunity for members to collaborate with industry-leading experts and other AI-driven organizations. About Hayden AI At Hayden AI, we’re pioneering real world problem solving powered by AI and machine learning. From bus lane and bus stop enforcement to digital twin modeling and more, our clients use our mobile perception system to speed up transit, make streets safer, and create a more sustainable future. Our privacy first approach ensures that our technologies comply with security and privacy regulations and protect personal information while fostering innovation.

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