Nvidia Invests $3.5 Billion in MediaTek to Expand AI Chips Partnership and Custom Silicon Ecosystem

Reviewed byNidhi Govil

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Nvidia has invested $3.5 billion in MediaTek convertible bonds, deepening their collaboration across AI infrastructure, custom AI chip development, and consumer computing. MediaTek will adopt Nvidia's NVLink Fusion platform, enabling customers to build custom AI chips that integrate with Nvidia-powered data centers while maintaining compatibility with rack-scale AI infrastructure.

Nvidia Invests $3.5 Billion in MediaTek Partnership

Nvidia has invested $3.5 billion in convertible bonds issued by Taiwanese chipmaker MediaTek, marking a significant expansion of their collaboration across AI infrastructure, consumer computing, and automotive sectors

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. This Nvidia MediaTek partnership represents the latest example of Nvidia financing businesses that build products around its technology, a strategy supporting growth in its AI ecosystem but drawing investor scrutiny over circular financing concerns

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Source: TechCrunch

Source: TechCrunch

Convertible bonds allow Nvidia to potentially convert its debt investment into MediaTek shares later. Earlier this year, Nvidia purchased $2 billion worth of shares in Marvell Technologies, a MediaTek competitor, demonstrating a pattern of strategic investments in chip design partners

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MediaTek Adopts NVLink Fusion Platform for Custom AI Chips

As part of the deal, MediaTek will adopt Nvidia's NVLink Fusion platform, providing hyperscalers, cloud service providers, and frontier model developers with a prevalidated path to develop custom AI chips that integrate with Nvidia NVLink-connected, rack-scale AI factories

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. This move addresses the growing trend of AI companies and major cloud providers like Amazon, Google, Microsoft, OpenAI, and Anthropic investing in custom silicon to reduce reliance on Nvidia's GPUs

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"Nvidia is an AI infrastructure company," said Dion Harris, Nvidia's senior director of HPC and AI hyperscaler infrastructure solutions. "We expanded beyond pure computing chips years ago"

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. The NVLink Fusion platform provides critical technologies surrounding custom AI chip development, including the NVLink Fusion chiplet, NVLink-C2C for high-bandwidth connectivity between processors, and NVHBM memory architecture that boosts data movement speeds while lowering power consumption

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Expanding Custom AI Chip Development and Data Centers

MediaTek's custom AI chip design business specializes in AI accelerators, and companies hiring MediaTek can now choose from Nvidia's catalog of on-chip networking technologies

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. NVLink, the interconnect underpinning NVLink Fusion, can move data more than 10 times faster than a standard PCIe 6.0 implementation

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MediaTek expects its custom data center ASIC operations to generate $2 billion in revenue in 2026, recently doubling its full-year forecast

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. The company aims to grow this figure severalfold in coming years, targeting more of the custom silicon market

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"By MediaTek being able to offer this extension to its customers, it allows them to standardize on the rack-scale infrastructure across their AI factories and also deploy their custom chips right alongside those using the same standard platform," Harris explained

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RTX Spark PC Chips and Consumer Computing Collaboration

The Nvidia MediaTek partnership extends to consumer computing through multiple generations of RTX Spark PC chips and DGX Spark workstations

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. In June, Nvidia unveiled the RTX Spark PC chip developed in partnership with MediaTek to "reinvent the PC" for the AI era

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Source: Market Screener

Source: Market Screener

MediaTek helped design the onboard CPUs and certain components like memory controllers for both RTX Spark and DGX Spark chips

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. The DGX Spark workstation, launched in 2025, enables developers to fine-tune AI models and is powered by a systems-on-chip (SoC) that MediaTek helped design

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This collaboration gives Nvidia access to MediaTek's expertise in power-efficient SoC design, connectivity, chiplet integration, and advanced packaging, potentially making MediaTek a considerably more important participant in Nvidia's future PC platform strategy

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AI-Powered Vehicles and Automotive Platforms

MediaTek and Nvidia will continue developing platforms for AI-powered vehicles and software-defined vehicles in the era of physical AI

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. MediaTek sells Dimensity Auto systems-on-chip that carmakers use to power in-vehicle displays, incorporating Nvidia graphics rendering chiplets

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MediaTek's auto platforms rely on Nvidia RTX graphics for intelligent vehicle cockpits and work alongside Nvidia Drive AGX, the company's in-car computing platform for autonomous driving workloads

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Source: Market Screener

Source: Market Screener

Strategic Implications for AI Infrastructure

"AI is transforming every computing platform -- from the world's largest AI factories to the PC and the car," said Jensen Huang, founder and CEO of Nvidia. "Together, we're building platforms that bring Nvidia accelerated computing to new markets and give customers the freedom to create differentiated AI systems at enormous scale"

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Rick Tsai, vice chairman and CEO of MediaTek, stated: "MediaTek and Nvidia share a vision for making advanced AI computing pervasive across the technology landscape. By combining Nvidia's leadership in accelerated computing and AI software ecosystem with MediaTek's expertise in a diverse AI technology portfolio from edge to cloud computing, and our leadership position in custom silicon, we can accelerate innovation for our customers"

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The deal allows Nvidia to maintain its dominance as the leading data center scaffolding provider while ceding ground to custom silicon developed by hyperscalers and AI companies

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. Last week, Nvidia announced a similar partnership with Amazon Web Services, where AWS will deploy an additional 2 million Nvidia GPUs across its infrastructure and integrate NVLink Fusion, though without direct investment

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Watch how MediaTek leverages this partnership to capture more market share in custom AI chip development, and whether other chipmakers follow suit in adopting Nvidia's interconnect standards. The success of RTX Spark PC chips in consumer markets will also signal whether Nvidia can establish a broader CPU+GPU technology platform beyond discrete graphics cards.

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