List of NVIDIA Triton Customers
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Since 2010, our global team of researchers has been studying NVIDIA Triton 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 Triton for Apps Development 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 Triton for Apps Development include: United States Postal Service, a United States based Transportation organisation with 640000 employees and revenues of $78.38 billion, Cisco Systems, a United States based Professional Services organisation with 90400 employees and revenues of $53.80 billion, Siemens Energy, a Germany based Manufacturing organisation with 98000 employees and revenues of $34.60 billion, TwelveLabs, a United States based Professional Services organisation with 73 employees and revenues of $8.0 million and many others.
Contact us if you need a completed and verified list of companies using NVIDIA Triton, 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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Cisco Systems | Professional Services | 90400 | $53.8B | United States | NVIDIA | NVIDIA Triton | Apps Development | 2022 | n/a |
In 2022, Cisco Systems' Webex team migrated large language models to Amazon SageMaker and deployed NVIDIA Triton Inference Server to serve dozens of models for collaboration and conversational AI features in the United States. The effort was executed as an Apps Development initiative to operationalize model serving for product-facing conversational workflows.
NVIDIA Triton was configured to host and manage multiple model instances, operating behind SageMaker endpoints to decouple inference serving from model lifecycle management. The architecture enabled asynchronous scaling of models behind SageMaker endpoints, and the work reduced application startup time and inference costs as part of the deployment.
Integrations centered on Amazon SageMaker for model training and endpoint orchestration with NVIDIA Triton providing high-performance inference serving, under the operational ownership of the Webex engineering organization. Governance emphasized endpoint topology and model serving orchestration to support collaboration and conversational AI features in production.
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Siemens Energy | Manufacturing | 98000 | $34.6B | Germany | NVIDIA | NVIDIA Triton | Apps Development | 2021 | n/a |
In 2021 Siemens Energy deployed NVIDIA Triton to run multi framework computer vision and audio models for automated power plant inspections and anomaly detection, classifying this implementation under Apps Development. The deployment targeted scalable inference to enable remote monitoring and safety inspections across the companys operational footprint.
The implementation uses NVIDIA Triton Inference Server as the central inference layer to host and serve multi framework models for computer vision and audio workloads. Configuration focused on model serving, request routing and GPU accelerated inference, with an architectural emphasis on supporting both cloud and edge hosting to maintain low latency processing near sensors.
Operational scope covered a Europe and global rollout with orchestration centered from HQ Germany, aiming to scale inference across millions of sensors in power generation sites. Business functions impacted include field operations, maintenance, safety inspections and remote monitoring, where automated inspection pipelines and anomaly detection models are executed through the Triton serving layer.
Governance and rollout prioritized standardized inference serving and model orchestration to enable automated inspection workflows at scale, and the project aimed to automate hundreds of inspection types and reduce operational costs as part of the post deployment outcomes.
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TwelveLabs | Professional Services | 73 | $8M | United States | NVIDIA | NVIDIA Triton | Apps Development | 2021 | n/a |
In 2021, TwelveLabs implemented NVIDIA Triton as a core component of its Apps Development toolchain. The deployment established a production inference service to host multimodal machine learning models, aligning NVIDIA Triton with the companys backend engineering and ML infrastructure efforts.
The implementation focused on standard model serving capabilities, including a centralized model repository, model versioning, GPU accelerated inference, dynamic batching and API endpoints for online inference. Engineers optimized model runtime performance using TensorRT, and configured NVIDIA Triton to manage model lifecycle and serve multimodal workloads through gRPC and HTTP interfaces.
Integration and operational coverage centered on backend engineering and ML infrastructure teams, who instrumented CI CD workflows for packaging and deploying models into NVIDIA Triton. Governance emphasized model validation and deployment gates alongside telemetry and logging for inference observability, keeping system operation within TwelveLabs internal engineering scope.
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Transportation | 640000 | $78.4B | United States | NVIDIA | NVIDIA Triton | Apps Development | 2019 | Hewlett Packard Enterprise |
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Buyer Intent: Companies Evaluating NVIDIA Triton
- Dawning Information Industry, a China based Manufacturing organization with 5991 Employees
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