Find and compare the best Artificial Intelligence software for NVIDIA AI Enterprise in 2024
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Use the comparison tool below to compare the top Artificial Intelligence software for NVIDIA AI Enterprise on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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Netdata, Inc.
Free 20 RatingsMonitor 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. -
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Saturn Cloud
Saturn Cloud
$0.005 per GB per hour 91 RatingsSaturn 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. -
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302.AI
302.AI
$1 per modelThe 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. -
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NVIDIA DGX Cloud
NVIDIA
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. -
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NVIDIA Base Command
NVIDIA
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. -
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MaiaOS
Zyphra Technologies
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. -
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NVIDIA Morpheus
NVIDIA
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.
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