NVIDIA is present in 10 markets with 14 products. NVIDIA has 208 reviews with an overall average rating of 4.6.
Cloud AI Developer Services (Transitioning to AI Coding Agents and Cloud-Native Application Platforms)
Gartner defines cloud AI developer services (CAIDS) as cloud-hosted or containerized services and products that enable software developers who are not data science experts to use artificial intelligence (AI) models via APIs, software development kits (SDKs) or applications. Core capabilities include automated machine learning (autoML) including automated data preparation, automated feature engineering and automated model building, and model management and operationalization for language, vision and tabular use cases. Optional and important complementary capabilities include AI code models and assistants. Cloud AI developer services help organizations embed intelligence, such as AI and ML insights, into their applications. While that is what cloud AI developer services offer, it is more important to note how they accomplish this. These services democratize and increase the availability of AI and ML to software engineers through the automation and features offered. Traditional activities regarding data acquisition, data quality, feature engineering, algorithm selection and model training are augmented by the technology. Cloud AI developer services open up a world of possibilities for software engineers to build AI and ML production capabilities and features for enterprise-built applications.
NVIDIA has 1 product in Cloud AI Developer Services (Transitioning to AI Coding Agents and Cloud-Native Application Platforms) market
Cloud Computing
Cloud Computing refers to products and services that enable the delivery, management, and optimization of computing resources over the internet. This category includes markets that focus on empowering organizations to seamlessly store, migrate, manage, and optimize workloads across diverse cloud environments, including public, private, hybrid, and multi-cloud models.
NVIDIA has 1 product in Cloud Computing market
Data Center Switching
This market covers data center network switches and the requisite management and automation platforms for them. Data center switches are Ethernet switches installed in a data center environment intended to provide connectivity for endpoints, including servers, firewalls, and Layer 4 through Layer 7 appliances and mainframes. Data center switches provide foundational connectivity mostly for compute resources in the data center. This is required to enable applications in support of business requirements. Emerging use cases that drive investments on data center networks include both AI and edge workloads.
NVIDIA has 2 products in Data Center Switching market
Data Center and Cloud Networking (Transitioning to Data Center Switching)
The data center and cloud networking vendors covered in this market provide hardware and/or software solutions to deliver connectivity primarily within enterprise data centers. This includes data center core/spine switches, access switches (top of rack [ToR], leaf), virtual switching, Ethernet fabrics, network operating systems (NOSs) and network overlays, and the requisite management, automation and orchestration of those components.
NVIDIA has 4 products in Data Center and Cloud Networking (Transitioning to Data Center Switching) market
- 2 more products
Digital Humans
Digital humans (also known as AI avatars or humanoid robots) are representations of people, typically rendered as digital avatars. Digital humans are designed to bring human-like interactions to the forefront of business and operating model innovations. They can interpret verbal speech, facial expressions, gestures, sentiments, images, video, audio and other forms of digital media. They can also respond with their own speech, tone and body language.
NVIDIA has 1 product in Digital Humans market
Edge AI Solutions
Edge AI refers to the use of AI techniques embedded in IoT endpoints, gateways and edge servers, that can process and store data close to where it’s generated. While predominantly focused on AI inference, more sophisticated systems may include a local training capability to provide in-situ optimization of the AI models. This is done by constantly monitoring AI models and autoscaling them to match demands. Edge AI systems can reduce latency and data transport consumption, improve local processing capabilities thus find usage in applications ranging from autonomous vehicles to streaming analytics.
NVIDIA has 1 product in Edge AI Solutions market
File and Object Storage Platforms
Gartner defines file and object storage platforms as software and/or hardware platforms that offer object and distributed file system technologies for storing and managing unstructured data over NFS, SMB and Amazon S3 access protocols. File and object storage platforms store, secure, protect and scale an organization’s unstructured data with access over the network using protocols such as NFS, SMB and Amazon S3. Use cases include analytics, workload consolidation, backup and archiving, hybrid cloud, object-native applications, cloud IT operations, and high-performance files.
NVIDIA has 1 product in File and Object Storage Platforms market
Generative AI Engineering
Generative AI (GenAI) engineering refers to the field of engineering that focuses on the development, implementation and optimization of generative AI models. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. By developing GenAI models, engineers can create new and innovative ways to generate content. The vendors in this segment are made up by incumbent and startup vendors covering full-model life cycle management, specifically adjusted to and catering to development, refinement and deployment of generative models (e.g., LLMs) and other GenAI artifacts in production applications. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
NVIDIA has 1 product in Generative AI Engineering market
Generative AI Infrastructure Providers (Transitioning to Cloud AI Infrastructure)
Generative AI (GenAI) Infrastructure providers are infrastructure vendors (such as cloud platforms and hardware manufacturers) that offer underlying technology, tools and hardware that other companies and developers use to build and deploy specific generative AI applications in production. Generative AI refers to technologies that can generate new derived versions of content, strategies, designs and methods by learning from large repositories of original source content. These providers offer scalable, reliable and cost-effective solutions for generative AI projects, which can be complex and expensive to train and deploy. Generative AI infrastructure providers focus on research and developing the foundational AI techniques, while application developers focus on building products using those foundational technologies. Please note that this market is based on Beta research and is continuously evolving. We will be making changes as and when there are new updates.
NVIDIA has 1 product in Generative AI Infrastructure Providers (Transitioning to Cloud AI Infrastructure) market
Simulation Platforms for Autonomous Vehicles
Simulation platforms for autonomous vehicles are specialized software environments designed to replicate real-world driving conditions and scenarios to test, validate, and develop autonomous vehicle systems. These platforms provide a virtual space where developers can safely experiment with autonomous driving algorithms, sensors, and vehicle behaviors under a wide range of conditions without the risks and costs associated with physical testing. Typical users include automotive manufacturers, tier 1 suppliers, sensor developers, research institutions, and software developers. Key features include realistic 3D environment modeling, dynamic traffic and pedestrian simulation, and comprehensive sensor simulation.
NVIDIA has 1 product in Simulation Platforms for Autonomous Vehicles market