Business Software for NVIDIA DRIVE

CADDIE (Computer-Aided Detection for Endoscopy) is an innovative AI software created by Odin Vision, aimed at enhancing the ability of endoscopists to identify and evaluate colorectal polyps during colonoscopy. Utilizing the robust cloud infrastructure provided by NVIDIA, CADDIE processes live video feeds from traditional white-light endoscopes, offering visual indicators that point out areas of concern for potential polyps. This system classifies polyps into adenomas and non-adenomas, which supports healthcare professionals in making well-informed choices regarding resection and histopathology. Moreover, CADDIE evaluates bowel cleanliness by calculating the percentage of visible mucosa and identifies the appendiceal orifice to ensure successful cecal intubation. Its cloud-based design facilitates effortless software updates, eliminating the necessity for on-site technical interventions. Additionally, CADDIE is built to work seamlessly with existing endoscopy equipment and can be integrated into current clinical practices with little to no training needed, making it a valuable tool in modern gastroenterology. Overall, this technology aims to improve patient outcomes and enhance the accuracy of colorectal screenings.

The Linker VisionAI Platform offers a holistic, all-in-one solution for vision AI, incorporating elements of simulation, training, and deployment to enhance the capabilities of smart cities and businesses. It is built around three essential components: Mirra, which generates synthetic data through NVIDIA Omniverse and NVIDIA Cosmos; DataVerse, which streamlines data curation, annotation, and model training with NVIDIA NeMo and NVIDIA TAO; and Observ, designed for the deployment of large-scale Vision Language Models (VLM) using NVIDIA NIM. This cohesive strategy facilitates a smooth progression from simulated data to practical application, ensuring that AI models are both resilient and flexible. By utilizing urban camera networks and advanced AI technologies, the Linker VisionAI Platform supports a variety of functions, such as managing traffic, enhancing worker safety, and responding to disasters. In addition, its comprehensive capabilities allow organizations to make well-informed decisions in real-time, significantly improving operational efficiency across diverse sectors.

MORAI presents an innovative digital twin simulation platform designed to expedite the development and evaluation of autonomous vehicles, urban air mobility solutions, and maritime autonomous surface vessels. This platform utilizes high-definition mapping and an advanced physics engine to seamlessly connect real-world applications with simulated testing environments, ensuring all critical components for validating autonomous systems are included, such as those for self-driving cars, drones, and unmanned marine vehicles. It features a comprehensive array of sensor models, which encompass cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users have the capability to create intricate and varied testing scenarios derived from actual data, including those based on logs and edge cases. Furthermore, MORAI's cloud-based simulation framework enables safe, efficient, and scalable testing processes, allowing multiple simulations to operate simultaneously while assessing various scenarios in parallel. This robust infrastructure not only enhances the reliability of testing but also significantly reduces the time and costs associated with the development of autonomous technologies.

QumulusAI provides unparalleled supercomputing capabilities, merging scalable high-performance computing (HPC) with autonomous data centers to eliminate bottlenecks and propel the advancement of AI. By democratizing access to AI supercomputing, QumulusAI dismantles the limitations imposed by traditional HPC and offers the scalable, high-performance solutions that modern AI applications require now and in the future. With no virtualization latency and no disruptive neighbors, users gain dedicated, direct access to AI servers that are fine-tuned with the latest NVIDIA GPUs (H200) and cutting-edge Intel/AMD CPUs. Unlike legacy providers that utilize a generic approach, QumulusAI customizes HPC infrastructure to align specifically with your unique workloads. Our partnership extends through every phase—from design and deployment to continuous optimization—ensuring that your AI initiatives receive precisely what they need at every stage of development. We maintain ownership of the entire technology stack, which translates to superior performance, enhanced control, and more predictable expenses compared to other providers that rely on third-party collaborations. This comprehensive approach positions QumulusAI as a leader in the supercomputing space, ready to adapt to the evolving demands of your projects.

VMware Private AI Foundation is a collaborative, on-premises generative AI platform based on VMware Cloud Foundation (VCF), designed for enterprises to execute retrieval-augmented generation workflows, customize and fine-tune large language models, and conduct inference within their own data centers, effectively addressing needs related to privacy, choice, cost, performance, and compliance. This platform integrates the Private AI Package—which includes vector databases, deep learning virtual machines, data indexing and retrieval services, and AI agent-builder tools—with NVIDIA AI Enterprise, which features NVIDIA microservices such as NIM, NVIDIA's proprietary language models, and various third-party or open-source models from sources like Hugging Face. It also provides comprehensive GPU virtualization, performance monitoring, live migration capabilities, and efficient resource pooling on NVIDIA-certified HGX servers, equipped with NVLink/NVSwitch acceleration technology. Users can deploy the system through a graphical user interface, command line interface, or API, thus ensuring cohesive management through self-service provisioning and governance of the model store, among other features. Additionally, this innovative platform empowers organizations to harness the full potential of AI while maintaining control over their data and infrastructure.

Wellzesta’s engagement software designed for senior living revolutionizes operational efficiency by a factor of ten through features like resident self-service, automated processes, and streamlined workflows, effectively modernizing outdated communication methods into widely embraced engagement platforms that foster both resident well-being and organizational development. Functioning as a Community Operating System, it caters to a variety of stakeholders including multiple departments, CEOs, COOs, CFOs, IT teams, life enrichment coordinators, wellness professionals, marketing and sales personnel, as well as residents, their families, prospective residents, and CCaH members. This innovative solution achieves more than 14 million voice-reading plays annually, has onboarded 22,500 new users, and enjoys a commendable recommendation rate of 90%. By integrating personalized content delivery, facilitating two-way communication, offering data-driven insights, and simplifying onboarding processes, Wellzesta consolidates self-service tools, staff notifications, event management, and analytics into a single user-friendly interface, thereby enhancing community engagement, promoting wellness initiatives, and ensuring that communities remain connected and informed, ultimately setting the stage for future growth and success. In doing so, Wellzesta not only enriches the lives of residents but also empowers staff to operate more effectively and efficiently.

Centific has developed a cutting-edge AI data foundry platform that utilizes NVIDIA edge computing to enhance AI implementation by providing greater flexibility, security, and scalability through an all-encompassing workflow orchestration system. This platform integrates AI project oversight into a singular AI Workbench, which manages the entire process from pipelines and model training to deployment and reporting in a cohesive setting, while also addressing data ingestion, preprocessing, and transformation needs. Additionally, RAG Studio streamlines retrieval-augmented generation workflows, the Product Catalog efficiently organizes reusable components, and Safe AI Studio incorporates integrated safeguards to ensure regulatory compliance, minimize hallucinations, and safeguard sensitive information. Featuring a plugin-based modular design, it accommodates both PaaS and SaaS models with consumption monitoring capabilities, while a centralized model catalog provides version control, compliance assessments, and adaptable deployment alternatives. The combination of these features positions Centific's platform as a versatile and robust solution for modern AI challenges.

Cosmian’s Data Protection Suite offers a robust and advanced cryptography solution designed to safeguard sensitive data and applications, whether they are actively used, stored, or transmitted through cloud and edge environments. This suite features Cosmian Covercrypt, a powerful hybrid encryption library that combines classical and post-quantum techniques, providing precise access control with traceability; Cosmian KMS, an open-source key management system that facilitates extensive client-side encryption dynamically; and Cosmian VM, a user-friendly, verifiable confidential virtual machine that ensures its own integrity through continuous cryptographic checks without interfering with existing operations. Additionally, the AI Runner known as “Cosmian AI” functions within the confidential VM, allowing for secure model training, querying, and fine-tuning without the need for programming skills. All components are designed for seamless integration via straightforward APIs and can be quickly deployed through marketplaces such as AWS, Azure, or Google Cloud, thus enabling organizations to establish zero-trust security frameworks efficiently. The suite’s innovative approach not only enhances data security but also streamlines operational processes for businesses across various sectors.

Phi-4-mini-flash-reasoning is a 3.8 billion-parameter model that is part of Microsoft's Phi series, specifically designed for edge, mobile, and other environments with constrained resources where processing power, memory, and speed are limited. This innovative model features the SambaY hybrid decoder architecture, integrating Gated Memory Units (GMUs) with Mamba state-space and sliding-window attention layers, achieving up to ten times the throughput and a latency reduction of 2 to 3 times compared to its earlier versions without compromising on its ability to perform complex mathematical and logical reasoning. With a support for a context length of 64K tokens and being fine-tuned on high-quality synthetic datasets, it is particularly adept at handling long-context retrieval, reasoning tasks, and real-time inference, all manageable on a single GPU. Available through platforms such as Azure AI Foundry, NVIDIA API Catalog, and Hugging Face, Phi-4-mini-flash-reasoning empowers developers to create applications that are not only fast but also scalable and capable of intensive logical processing. This accessibility allows a broader range of developers to leverage its capabilities for innovative solutions.

Naptha serves as a modular platform designed for autonomous agents, allowing developers and researchers to create, implement, and expand cooperative multi-agent systems within the agentic web. Among its key features is Agent Diversity, which enhances performance by orchestrating a variety of models, tools, and architectures to ensure continual improvement; Horizontal Scaling, which facilitates networks of millions of collaborating AI agents; Self-Evolved AI, where agents enhance their own capabilities beyond what human design can achieve; and AI Agent Economies, which permit autonomous agents to produce valuable goods and services. The platform integrates effortlessly with widely-used frameworks and infrastructures such as LangChain, AgentOps, CrewAI, IPFS, and NVIDIA stacks, all through a Python SDK that provides next-generation enhancements to existing agent frameworks. Additionally, developers have the capability to extend or share reusable components through the Naptha Hub and can deploy comprehensive agent stacks on any container-compatible environment via Naptha Nodes, empowering them to innovate and collaborate efficiently. Ultimately, Naptha not only streamlines the development process but also fosters a dynamic ecosystem for AI collaboration and growth.

Paal presents a comprehensive AI framework designed for the creation, deployment, and oversight of sophisticated AI applications that span both Web2 and Web3 platforms. Users have the capability to craft tailored Paal Bots that provide instant AI support on a variety of subjects or cryptocurrency market insights, alongside white-label offerings for brands or community use, as well as autonomous trading agents that can perform buy and sell transactions based on signals generated by AI, with adjustable settings such as trade volume, profit-taking, and loss prevention measures. The Enterprise Agents suite enhances functionality with features like an intuitive drag-and-drop interface for workflow creation, integrations with REST APIs and knowledge bases, support for IoT agents, and a real-time testing environment, all of which facilitate the automation of intricate processes and smooth connections to third-party systems. Additionally, creative individuals can develop animations and 3D characters while ensuring continuous content distribution across various streaming platforms and social media channels, all while monitoring key performance indicators to gauge effectiveness. This holistic approach empowers users to maximize their AI capabilities and enhance their operational efficiency in diverse sectors.

Artemis employs Generative AI, collaborative multi-agent systems, genetic optimization techniques, and contextual insights to effectively analyze, enhance, and validate codebases on a large scale, converting current repositories into production-ready solutions that elevate performance, minimize technical debt, and guarantee high-quality results for enterprises. By integrating effortlessly with your existing tools and repositories, it utilizes sophisticated indexing and scoring methods to identify optimization possibilities, coordinates various LLMs along with proprietary algorithms to create customized enhancements, and conducts real-time validation and benchmarking to ensure secure and scalable outcomes. Furthermore, a modular Intelligence Engine supports extensions for profiling and security tools, machine learning models aimed at detecting anomalies, and a comprehensive evaluation suite for thorough testing, all meticulously crafted to reduce costs, stimulate innovation, and speed up time-to-market while maintaining smooth operational workflows. This comprehensive approach not only streamlines processes but also empowers teams to focus on strategic development efforts.

IREN’s AI Cloud is a cutting-edge GPU cloud infrastructure that utilizes NVIDIA's reference architecture along with a high-speed, non-blocking InfiniBand network capable of 3.2 TB/s, specifically engineered for demanding AI training and inference tasks through its bare-metal GPU clusters. This platform accommodates a variety of NVIDIA GPU models, providing ample RAM, vCPUs, and NVMe storage to meet diverse computational needs. Fully managed and vertically integrated by IREN, the service ensures clients benefit from operational flexibility, robust reliability, and comprehensive 24/7 in-house support. Users gain access to performance metrics monitoring, enabling them to optimize their GPU expenditures while maintaining secure and isolated environments through private networking and tenant separation. The platform empowers users to deploy their own data, models, and frameworks such as TensorFlow, PyTorch, and JAX, alongside container technologies like Docker and Apptainer, all while granting root access without any limitations. Additionally, it is finely tuned to accommodate the scaling requirements of complex applications, including the fine-tuning of extensive language models, ensuring efficient resource utilization and exceptional performance for sophisticated AI projects.

Kipps.AI serves as a robust platform tailored for enterprises aiming to create and implement AI agents across various channels like voice, chat, and WhatsApp, efficiently managing millions of dialogues with a level of human-like intelligence and the reliability expected in large-scale operations. This solution empowers businesses to customize agents for various purposes, including lead qualification, appointment scheduling, customer support, and beyond, all while seamlessly integrating with CRM systems, telephony solutions, and numerous other operational tools. With over 100 ready-to-use integrations, including popular platforms like Salesforce, HubSpot, WhatsApp, Slack, and Zoom, Kipps.AI offers a wealth of features such as comprehensive analytics at both the model and agent levels, conversation transcription capabilities, real-time call streaming, sentiment analysis, and the ability to escalate interactions to human representatives when necessary. Furthermore, the platform ensures enterprise-level security compliance, boasting certifications like SOC 2 Type II, ISO 27001, and HIPAA-readiness, alongside PCI DSS Level 1 standards and options for zero data retention, making it a trustworthy choice for organizations looking to enhance their customer engagement strategies. In addition, Kipps.AI's advanced technology makes it not just a tool, but a strategic partner for businesses seeking to innovate and improve their communication processes.

Dive CAE is a cloud-based software platform designed for computational fluid dynamics that empowers engineers to model intricate fluid dynamics phenomena, including free-surface flows, multiphase interactions, heat transfer, and the dynamics of moving machinery, all through a mesh-free Smoothed Particle Hydrodynamics approach. Accessible directly from a web browser and optimized for high-performance computing systems, it eliminates the need for local hardware or installation processes. This innovative mesh-free method facilitates the modeling of complex geometries, accounts for surface tension, handles non-Newtonian fluids, and addresses transient flow scenarios without the cumbersome meshing and adjustments typical of traditional CFD methods. Users can quickly onboard, usually within a single day, while the software is designed to support parallel design-of-experiment workflows, allowing for numerous iterations to be completed in just hours rather than days. Dive CAE prioritizes collaboration among users, offers a straightforward licensing model (a single license for all), ensures transparent cost management, adheres to data usage governance, and provides scalability through its cloud-based architecture, making it an attractive choice for engineering teams looking to enhance their fluid dynamics simulations. This combination of features not only streamlines the simulation process but also fosters efficient teamwork and innovation in project development.

AWS AI Factories offers a comprehensive, managed solution that integrates powerful AI infrastructure seamlessly into a client’s data center. You provide the necessary space and power, while AWS sets up a secure, dedicated AI environment tailored for both training and inference tasks. The solution incorporates top-tier AI accelerators, including AWS Trainium chips and NVIDIA GPUs, along with low-latency networking, high-performance storage, and direct connections to AWS’s AI services like Amazon SageMaker and Amazon Bedrock. This setup grants users immediate access to foundational models and essential AI tools without the need for separate licensing agreements. AWS takes care of the entire deployment, maintenance, and management processes, which significantly reduces the typical lengthy timeline associated with constructing similar infrastructure. Each installation functions independently, resembling a private AWS Region, ensuring compliance with stringent data sovereignty, regulatory, and compliance standards. This makes it especially advantageous for industries that handle sensitive information, providing peace of mind alongside advanced technology solutions. The combination of high performance and secure access positions AWS AI Factories as a leading choice for organizations seeking to leverage AI effectively.

Cognite offers Cognite Data Fusion, a versatile and secure platform for Industrial DataOps and AI that integrates, contextualizes, and operationalizes a wide array of industrial data types, including time series data, engineering diagrams, IT systems, operational technology, and unstructured information, all within a cohesive industrial knowledge framework. This platform is designed to tackle the intricacies of managing industrial data, boasting over 90 pre-built extractors and connectors that facilitate seamless data ingestion from various industrial systems. Additionally, it features automated and AI-enhanced contextualization to deepen the understanding of the interrelationships between different data types. Users benefit from user-friendly search and visualization capabilities, alongside robust governance tools such as cataloging, data lineage tracking, and secure access controls, which collectively foster trust and reliability among all stakeholders involved. By leveraging these advanced features, organizations can generate data-driven insights and analytics, empowering them to implement AI use cases efficiently on an enterprise scale.

Chainer is a robust, adaptable, and user-friendly framework designed for building neural networks. It facilitates CUDA computation, allowing developers to utilize a GPU with just a few lines of code. Additionally, it effortlessly scales across multiple GPUs. Chainer accommodates a wide array of network architectures, including feed-forward networks, convolutional networks, recurrent networks, and recursive networks, as well as supporting per-batch designs. The framework permits forward computations to incorporate any Python control flow statements without compromising backpropagation capabilities, resulting in more intuitive and easier-to-debug code. It also features ChainerRLA, a library that encompasses several advanced deep reinforcement learning algorithms. Furthermore, with ChainerCVA, users gain access to a suite of tools specifically tailored for training and executing neural networks in computer vision applications. The ease of use and flexibility of Chainer makes it a valuable asset for both researchers and practitioners in the field. Additionally, its support for various devices enhances its versatility in handling complex computational tasks.

Cognata provides comprehensive simulation solutions for the entire product lifecycle aimed at developers of ADAS and autonomous vehicles. Their platform features automatically generated 3D environments along with realistic AI-driven traffic agents, making it ideal for AV simulation. Users benefit from a readily available library of scenarios and an intuitive authoring tool to create countless edge cases for autonomous vehicles. The system allows for seamless closed-loop testing with straightforward integration. It also offers customizable rules and visualization options tailored for autonomous simulation, ensuring that performance is both measured and monitored effectively. The digital twin-grade 3D environments accurately reflect roads, buildings, and infrastructure, down to the finest details such as lane markings, surface materials, and traffic signals. Designed to be globally accessible, the cloud-based architecture is both cost-effective and efficient from the outset. Closed-loop simulation and integration with CI/CD workflows can be achieved with just a few clicks. This flexibility empowers engineers to merge control, fusion, and vehicle models seamlessly with Cognata's comprehensive environment, scenario, and sensor modeling capabilities, enhancing the development process significantly. Furthermore, the platform's user-friendly interface ensures that even those with limited experience can navigate and utilize its powerful features effectively.

At CapametriX, our commitment lies in fostering business expansion by leveraging optimized opportunities, actionable insights, and bespoke strategies. We assist businesses in generating qualified leads, enhancing content distribution, and obtaining a clear overview of partner performance. Through our digital consultancy offerings, we deliver tailored solutions that enable companies to flourish. By equipping organizations with the ability to automatically generate high-quality sales leads and evaluate subsequent opportunities, we drive significant results. Our solutions are recognized by top global vendors, distributors, and resellers, functioning effortlessly in various languages and establishing a new benchmark in sales effectiveness. By transforming how consultancy services and change management efforts are delivered, our technology promotes quicker benefits, cost efficiency, and unmatched precision while ensuring businesses remain competitive in an ever-evolving market. In this way, we not only support business growth but also enhance the overall operational efficiency of our clients.