AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

MediaTek Data, Technology Stack, and Enterprise Applications
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
NVIDIA Legacy NVIDIA DGX Platform AI infrastructure AI Development n/a 2025 2025 In 2025, MediaTek deployed the NVIDIA DGX Platform as an on premises AI factory powered by an NVIDIA DGX SuperPOD to train and deploy its Breeze series very large language models. This implementation positions the NVIDIA DGX Platform as core AI infrastructure for MediaTek, focused on AI R&D and device and edge model optimization in Taiwan. The deployment concentrates on high-throughput training and inference pipelines to support very large language model development, model iteration workflows, and device-level optimization. Functional capabilities reported include large-scale model training, inference serving, and accelerated R&D workflows that support frequent model retraining and iteration on the Breeze series. Operationally the DGX SuperPOD cluster is hosted on premises in Taiwan and is used by MediaTek research and engineering teams responsible for AI R&D and device and edge model tuning. The implementation supports both training and deployment workflows, enabling tighter coordination between model development and device optimization efforts across product engineering and research groups. MediaTek reports tens of billions of tokens processed monthly and large gains in training and inference throughput, with faster inference and higher token throughput enabling accelerated model iteration. The narrative emphasizes the NVIDIA DGX Platform as AI infrastructure that materially changed throughput and iteration cadence for MediaTeks AI R&D and device model optimization efforts.
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Amazon Web Services (AWS) Legacy Amazon EC2 Application Hosting and Computing Services IaaS n/a 2016 2016
Cloud Storage IaaS 2014 2014
Content Delivery Network IaaS 2022 2022
Content Delivery Network IaaS 2016 2016
Content Delivery Network IaaS 2021 2021
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Cisco Systems Legacy Cisco Webex Meetings Audio Video and Web Conferencing Collaboration n/a 2020 2020
Collaboration Collaboration 2018 2018
Collaboration Collaboration 2020 2020
Collaboration Collaboration 2022 2022
Blockchain
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Blockchain Platform Blockchain 2022 2023
PLM and Engineering
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Computer-Aided Design (CAD) PLM and Engineering 2023 2023
Electronic Design PLM and Engineering 2025 2025
Electronic Design PLM and Engineering 2025 2025
Electronic Design PLM and Engineering 2025 2025
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Marketing Automation CRM 2016 2016
Marketing Automation CRM 2019 2019
Sales Automation, CRM, Sales Engagement CRM 2022 2022
Tag Management CRM 2016 2016
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Web Content Management Content Management 2016 2016
Web Content Management Content Management 2021 2021
IT Decision Makers and Key Stakeholders at MediaTek
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by MediaTek Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD MediaTek Technographics

MediaTek is a Manufacturing organization based in Taiwan, with around 21982 employees and annual revenues of $16.17 billion.

MediaTek operates a diverse technology stack with applications such as NVIDIA DGX Platform, Amazon EC2 and Cisco Webex Meetings, covering areas like AI infrastructure, Application Hosting and Computing Services and Audio Video and Web Conferencing.

MediaTek has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as NVIDIA, Amazon Web Services (AWS) and Cisco Systems.

MediaTek recently adopted applications including NVIDIA DGX Platform in 2025, Cadence Virtuoso in 2025 and Cadence Spectre X Simulator in 2025, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of MediaTek’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates MediaTek’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete MediaTek technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.