Hsinchu, 30078,
Taiwan
MediaTek Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by MediaTek and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 21982 MediaTek employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that MediaTek has purchased the following applications: NVIDIA DGX Platform for AI infrastructure in 2025, Amazon EC2 for Application Hosting and Computing Services in 2016, Cisco Webex Meetings for Audio Video and Web Conferencing in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems MediaTek is running and its propensity to invest more and deepen its relationship with NVIDIA , Amazon Web Services (AWS) , Cisco Systems or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing MediaTek revenues, which have grown to $16.17 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for MediaTek intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury 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 |
|
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||