List of NVIDIA DeepStream Customers
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Since 2010, our global team of researchers has been studying NVIDIA DeepStream customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased NVIDIA DeepStream for Computer Vision from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using NVIDIA DeepStream for Computer Vision include: Lowe'S, a United States based Retail organisation with 270000 employees and revenues of $83.67 billion, Vietnam Posts and Telecommunications Group, a Vietnam based Communications organisation with 40000 employees and revenues of $10.00 billion, Fyma, a United Kingdom based Construction and Real Estate organisation with 25 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using NVIDIA DeepStream, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Fyma | Construction and Real Estate | 25 | $1M | United Kingdom | NVIDIA | NVIDIA DeepStream | Computer Vision | 2022 | n/a |
In 2022, Fyma implemented the NVIDIA DeepStream SDK to build a high-performance, extensible video pipeline for real-time occupancy, footfall and space analytics across commercial real estate in the United Kingdom and Europe. The NVIDIA DeepStream implementation served as the primary application layer for Computer Vision workloads, consolidating GPU-accelerated video ingestion, decoding and inference into a unified pipeline.
The implementation focused on modular pipeline components including capture and decoding, neural network inference, post-processing for event extraction, and telemetry for analytics ingestion. Fyma used these modules to operationalize occupancy detection, footfall counting and space utilization analytics, reporting pipeline throughput up to approximately 500 fps on a single stream and measured accuracy improvements of two to three times versus their initial implementation.
Operational coverage targeted commercial real estate customers across the UK and Europe, with the analytics feeding business functions such as facilities management, space planning and tenant experience optimization. The architecture emphasized extensibility so additional models and analytic capabilities for Computer Vision could be added without reworking the ingestion layer.
The integration of NVIDIA DeepStream was completed in under two months, enabling a short implementation cycle and rapid operational rollout. Governance prioritized modular deployment, telemetry-driven monitoring and iterative model updates to sustain pipeline performance and support ongoing refinement of occupancy and footfall analytics.
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Lowe'S | Retail | 270000 | $83.7B | United States | NVIDIA | NVIDIA DeepStream | Computer Vision | 2022 | Dell |
In 2022 Lowe'S implemented NVIDIA DeepStream to power in-store Computer Vision across its United States retail footprint, embedding real-time video analytics into store operations. The deployment centers on customer dwell detection and need-for-assistance notifications, aligning the Lowe'S NVIDIA DeepStream Computer Vision capability with frontline associate workflows and merchandising observation.
NVIDIA DeepStream is configured to run real-time analytics at the edge, detecting customer behavior signals that trigger associate alerts and proactive customer support actions. Functional capabilities implemented include real-time event detection for dwell and assistance, event-driven notifications to associates, and data capture to support merchandising use cases and store-level decision making.
The program is integrated into Lowe'S broader digital-twin and AI stack, linking NVIDIA DeepStream outputs into Omniverse and edge GPU infrastructure provided through Dell/NVIDIA. Architecturally the solution places inference and initial analytics at store-level edge GPUs, with telemetry and model outputs feeding the digital-twin environment to enable pilots of live store replicas and consolidated operational visibility.
Rollout governance emphasized operational integration with store teams and merchandising stakeholders, with pilots of digital twins going live in stores and iterative alignment of notification workflows. Outcomes reported include pilots of digital twins live in stores and improved associate and customer experiences, with NVIDIA reporting proactive assistance capabilities and high customer and associate satisfaction metrics.
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Vietnam Posts and Telecommunications Group | Communications | 40000 | $10.0B | Vietnam | NVIDIA | NVIDIA DeepStream | Computer Vision | 2024 | n/a |
In 2024, Vietnam Posts and Telecommunications Group implemented NVIDIA DeepStream in a Computer Vision deployment to deliver nation-scale traffic-monitoring and video-analytics for smart-city traffic safety and congestion management across Vietnamese intersections. The implementation used NVIDIA Metropolis components, including the DeepStream SDK, to construct video ingestion and analytics pipelines tailored to real-time detection and classification workloads.
The deployment architecture centralized model training while distributing inference across the deployed camera estate, enabling accelerated model training and inference workflows. NVIDIA DeepStream was used to operationalize streaming analytics, object detection, and classification pipelines that feed incident detection and traffic flow management functions.
Operational coverage targeted thousands of cameras across intersections in the Vietnam region, providing continuous video analytics for traffic safety and congestion management. The solution enabled real-time detection and classification across the camera network, supporting faster incident response and operational monitoring.
Governance and rollout emphasized productionizing model training and inference, the deployment accelerated model training and inference and reduced training time from weeks to days. The implementation of NVIDIA DeepStream and NVIDIA Metropolis components aligned Computer Vision capabilities with urban traffic operations to support incident response and traffic flow management.
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