NVIDIA AI Enterprise Integrations

Monitor your servers, containers, and applications, in high-resolution and in real-time. Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: Collects metrics from 800+ integrations Real-Time, Low-Latency, High-Resolution Unsupervised Anomaly Detection Powerful Visualization Out of box Alerts systemd Journal Logs Explorer Low Maintenance Open and Extensible Troubleshoot slowdowns and anomalies in your infrastructure with thousands of per-second metrics, meaningful visualisations, and insightful health alarms with zero configuration. Netdata is different. Real-Time data collection and visualization. Infinite scalability baked into its design. Flexible and extremely modular. Immediately available for troubleshooting, requiring zero prior knowledge and preparation.

Dataoorts GPU Cloud was built for AI. Dataoorts offers GC2 and a X-Series GPU instance to help you excel in your development tasks. Dataoorts GPU instances ensure that computational power is available to everyone, everywhere. Dataoorts can help you with your training, scaling and deployment tasks. Serverless computing allows you to create your own inference endpoint API cost you just $5 Per month.

Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack.

NVIDIA TensorRT provides an ecosystem of APIs to support high-performance deep learning. It includes an inference runtime, model optimizations and a model optimizer that delivers low latency and high performance for production applications. TensorRT, built on the CUDA parallel programing model, optimizes neural networks trained on all major frameworks. It calibrates them for lower precision while maintaining high accuracy and deploys them across hyperscale data centres, workstations and laptops. It uses techniques such as layer and tensor-fusion, kernel tuning, and quantization on all types NVIDIA GPUs from edge devices to data centers. TensorRT is an open-source library that optimizes the inference performance for large language models.

The API market provides a comprehensive collection APIs including LLMs (Lightweight Machines), AI drawing, image and sound processing, information retrieval and data vectorization. All functions of 302.AI are accessible via API. This allows developers to quickly find APIs that they need for their applications and services, as well as integration methods and documentation. One click is all that's needed to begin using AI functions. The 302.AI platform was designed with the user in mind, so that everyone can enjoy the convenience AI brings. Users can easily share AI applications via the one-click function. The recipient doesn't need to register or sign in to gain immediate access. Sharing AI is as easy as sharing files. A single account can create and manage an infinite number of AI bots.

NVIDIA Blueprints provide reference workflows to support agentic and generative AI. Blueprints and NVIDIA AI, Omniverse libraries, SDKs and microservices allow enterprises to build and operationalize custom AI apps, creating data driven AI flywheels. Blueprints include partner microservices as well as reference code, customization documentation and a Helm Chart for deployment. NVIDIA Blueprints offers developers a unified experience that spans the NVIDIA stack from cloud and datacenters to NVIDIA AI PCs and Workstations. NVIDIA Blueprints can be used to create AI agents capable of solving complex problems using sophisticated reasoning and iterative planing. NVIDIA Blueprints provide millions of enterprise developers reference workflows to build and deploy generative AI applications. Connect AI applications with enterprise data by using embedding and ranking models that are industry-leading for information retrieval.

NVIDIA NIM's microservices allow you to deploy AI agents anywhere, while allowing you to explore the latest AI models. NVIDIA NIM provides a set easy-to-use microservices for inference that allows the deployment of foundational models across any data center or cloud, while ensuring data security. NVIDIA AI also provides access to the Deep Learning Institute, which offers technical training for AI, data science and accelerated computing. AI models produce responses and outputs that are based on complex machine learning algorithms. These responses or outputs can be inaccurate, harmful or indecent. By testing this model you accept all risk for any harm caused by the model's output or response. Please do not upload confidential or personal information unless explicitly permitted. Your use is recorded for security reasons.

Nurix AI, a Bengaluru based company, specializes in the development and customization of AI agents to automate and enhance enterprise processes across various sectors including sales and customer service. Nurix AI's platform seamlessly integrates with existing enterprise systems. AI agents can execute complex tasks autonomously and provide real-time answers, as well as make intelligent decisions, without constant human supervision. Their proprietary voice-tovoice model is a standout feature, as it supports low-latency human-like conversations, in multiple languages. This enhances customer interactions. Nurix AI provides tailored AI services to startups. It offers end-to-end solutions for building and scaling AI products without extensive in-house teams. Their expertise includes large language models, cloud-integration, inference and model training. This ensures that clients receive enterprise-ready AI products.

The world's first AI supercomputer in the cloud, NVIDIA DGX™ Cloud is an AI-training-as-a-service solution with integrated DGX infrastructure designed for the unique demands of enterprise AI. NVIDIA DGX Cloud allows businesses to access a combination software-infrastructure solution for AI training. It includes a full-stack AI development suite, a leadership-class infrastructure and concierge support. Businesses can get started immediately with predictable, all in-one pricing.

NVIDIA Base Command™ is an enterprise-class AI software service that allows businesses and their data scientists accelerate AI development. Base Command Platform, which is part of the NVIDIA DGX™ platform provides centralized, hybrid controls for AI training projects. It is compatible with NVIDIA DGX cloud and NVIDIA DGX superPOD. Base Command Platform in conjunction with NVIDIA's accelerated AI infrastructure provides a cloud hosted solution for AI development. Users can avoid the overheads and pitfalls associated with deploying and operating a DIY platform. Base Command Platform configures and manages AI workflows, provides integrated dataset management and executes them using the right-sized resources, ranging from a single GPU up to large-scale multi-node cloud clusters or on-premises. The platform is constantly updated by NVIDIA engineers and researchers, who rely on it daily.

Overcome challenges when acquiring data to train AI and machine learning systems. Rendered.ai, a PaaS, is designed for data scientists and engineers. Create synthetic datasets to train and validate ML/AI. Experiment with scene content, sensor models, and post-processing. Catalogue and characterize real and synthetic datasets. Download or move data into your own cloud repositories to be processed and trained. Synthetic data can be used to boost innovation and productivity. Create custom pipelines for modeling diverse sensors and computer-vision inputs. Python sample code is available for free and can be customized to model SAR, RGB Satellite imagery, and other sensor types. Flexible licensing allows for almost unlimited content creation. Create labeled, high-performance computing content quickly in a hosted environment. No-code configuration allows data scientists and engineers to collaborate.

Zyphra, an artificial intelligence company with offices in Palo Alto and Montreal, is growing in London. We're developing MaiaOS, an agent system that combines advanced research in next-gen neuronal network architectures (SSM-hybrids), long-term memories & reinforcement learning. We believe that the future of AGI is a combination of cloud-based and on-device strategies, with an increasing shift towards local inference. MaiaOS was built around a deployment platform that maximizes the efficiency of inference for real-time Intelligence. Our AI and product teams are drawn from top organizations and institutions, including Google DeepMind and Anthropic. They also come from Qualcomm, Neuralink and Apple. We have deep expertise across AI models, learning algorithms, and systems/infrastructure with a focus on inference efficiency and AI silicon performance. The Zyphra team is dedicated to democratizing advanced artificial intelligence systems.

NVIDIA's Morpheus AI framework is GPU-accelerated and allows developers to create applications that are optimized for filtering, classifying, and processing large volumes of cybersecurity data. Morpheus uses AI to reduce time and costs associated with identifying and capturing threats and taking action. This brings a new level to security to data centers, clouds, and the edge. Morpheus extends the capabilities of human analysts with generative AI, automating real-time analyses and responses. It produces synthetic data for AI models to train that accurately identify risks and run what-if scenario. Morpheus can be downloaded as open-source software from GitHub by developers who are interested in the latest prerelease features and want to build their own. NVIDIA AI enterprise offers unlimited usage across all clouds, access NVIDIA AI experts and long-term support.

NVIDIA Base command manager offers end-to-end management and fast deployment for heterogeneous AI clusters and high-performance computing at the edge, data center and in multi-cloud and hybrid environments. It automates provisioning and management of clusters from a few nodes up to hundreds of thousands of nodes, supports NVIDIA GPU accelerated systems and other systems and enables orchestration using Kubernetes. The platform integrates Kubernetes to orchestrate workloads and provides tools for infrastructure monitoring and workload management. Base Command Manager has been optimized for accelerated computing environments and is suitable for diverse HPC workloads. It is available on NVIDIA DGX Systems and as part the NVIDIA AI enterprise software suite. NVIDIA Base Command Manager allows you to quickly build and manage high-performance Linux clusters for HPC, machine learning and analytics applications.

Azure Marketplace is an online store with thousands of ready-to-use, certified software applications, services and solutions from Microsoft as well as third-party vendors. It allows businesses to discover, buy, and deploy software within the Azure cloud. The marketplace includes a wide variety of products including virtual machine images and AI and machine-learning models, developer tools and security solutions. Azure Marketplace simplifies procurement and centralizes billing with its flexible pricing options, such as pay-as you-go, free trial, and subscription models. It supports seamless integration with Azure Services, enabling organizations enhance their cloud infrastructure and streamline workflows.

Accenture's AI Refinery platform is designed to help organizations quickly build and deploy AI agents in order to enhance their workforce, and to address industry-specific challenges. The platform offers a variety of industry agent solutions that are codified with industry expertise and business workflows. Companies can customize these agents using their own data. This approach reduces time to build AI agents and to derive value to just a few days, rather than months or weeks. AI Refinery integrates robotics, domain-specific models, and digital twins to optimize manufacturing, logistics and quality. This is done through advanced AI, simulations and collaboration within Omniverse. This enables autonomy, efficiency and cost reduction in operations and engineering processes. The platform is built using NVIDIA AI enterprise software, which includes NVIDIA NeMo microservices, NVIDIA NIM, and NVIDIA AI Blueprints such as video search and summarization.