MediaTek Integrates AI Tools for 2nm Designs on NVIDIA’s Accelerated Computing Platform

MediaTek Embraces AI for 2 nm Development

In a move that’s sure to send ripples through the tech world, Cadence has announced that MediaTek is integrating its AI-driven Cadence Virtuoso Studio and Spectre X Simulator into the nVidia accelerated computing platform for its ambitious 2 nm development. As chip designs grow ever more intricate, SoC (System on Chip) providers are feeling the heat. The challenge? Keeping up with the relentless pace of innovation while also meeting stringent performance and turnaround time (TAT) demands.

MediaTek is stepping up to the plate, leveraging Cadence’s robust custom and analog design solutions, supercharged by AI, to boost productivity by a whopping 30%. “As we continue to push the boundaries of technology for our 2 nm development, we need a trusted design solution that’s backed by powerful AI tools,” said Ching SAN Wu, corporate vice president at MediaTek. It’s clear that collaboration is key here; by adopting Cadence’s tools, MediaTek is not just keeping pace but gaining ground in a fiercely competitive landscape.

A Boost in Productivity

So, what does this partnership mean for design teams? For starters, MediaTek is using the Virtuoso ADE Suite to weave its own AI-powered optimization algorithm into its product development workflow. This integration is all about enhancing circuit design efficiency, which is crucial when you’re working on advanced-node designs.

And let’s not forget about the incredible performance boost. Cadence’s Spectre X running on NVIDIA H100 GPUs is not just fast—it matches the accuracy of its CPU counterpart while delivering up to a 6X performance improvement for post-layout simulations. This means that designers can verify complex layouts faster than ever, which could be a game changer for time-sensitive projects.

The Future of Chip Design

Dion Harris, NVIDIA’s director of accelerated computing, highlights the importance of this leap in performance. “Improved performance and efficiency are key to advancing today’s complex chip design processes,” he notes. With Cadence’s Spectre X on NVIDIA Hopper GPUs, companies like MediaTek can accelerate the verification of intricate post-layout designs. This not only maximizes analog circuit simulation performance but also helps shave precious time off the journey to market.

MediaTek’s analog layout team is also getting in on the action. They’ve adopted the Virtuoso Layout Suite device-level Router for custom digital blocks in 2 nm technology, which is significantly ramping up layout productivity. Plus, by leveraging AI and Virtuoso’s open platform, they’re customizing a prototyping placement and low power prediction flow, leading to yet another 30% improvement in design productivity. It’s a win-win situation!

Cadence’s Commitment to Innovation

Vinod Kariat, corporate vice president and general manager of the Custom Products Group at Cadence, emphasizes the significance of this collaboration. “MediaTek’s validation of our latest Virtuoso Studio release and Spectre X Simulator on NVIDIA’s accelerated computing platform demonstrates that our ongoing investment in enhancing industry-leading custom design solutions and AI tools is a game changer for our customers’ most challenging 2 nm designs,” he explains.

The fusion of AI and GPU technology with Spectre X allows MediaTek to tackle large-scale verification simulation challenges more swiftly, all while maintaining the accuracy that’s critical in chip design.

As we watch this partnership unfold, it’s clear that the future of chip design is not just about speed and efficiency—it’s about harnessing the power of AI to navigate the complexities of modern technology. So, what’s next for MediaTek and Cadence? Only time will tell, but one thing is for sure: the stakes have never been higher.

Background Information

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About MediaTek:

MediaTek Inc. is a Taiwanese semiconductor company that designs and manufactures a wide range of system-on-chip (SoC) solutions for various consumer electronics, including smartphones, tablets, smart TVs, wearables, and IoT (Internet of Things) devices. Founded in 1997, MediaTek has become a important player in the semiconductor industry, known for its innovative chipsets that offer a balance of performance, power efficiency, and affordability.

  

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About nVidia:

NVIDIA has firmly established itself as a leader in the realm of client computing, continuously pushing the boundaries of innovation in graphics and AI technologies. With a deep commitment to enhancing user experiences, NVIDIA's client computing business focuses on delivering solutions that power everything from gaming and creative workloads to enterprise applications. for its GeForce graphics cards, the company has redefined high-performance gaming, setting industry standards for realistic visuals, fluid frame rates, and immersive experiences. Complementing its gaming expertise, NVIDIA's Quadro and NVIDIA RTX graphics cards cater to professionals in design, content creation, and scientific fields, enabling real-time ray tracing and AI-driven workflows that elevate productivity and creativity to unprecedented heights. By seamlessly integrating graphics, AI, and software, NVIDIA continues to shape the landscape of client computing, fostering innovation and immersive interactions in a rapidly evolving digital world.

  

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Technology Explained

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CPU: The Central Processing Unit (CPU) is the brain of a computer, responsible for executing instructions and performing calculations. It is the most important component of a computer system, as it is responsible for controlling all other components. CPUs are used in a wide range of applications, from desktop computers to mobile devices, gaming consoles, and even supercomputers. CPUs are used to process data, execute instructions, and control the flow of information within a computer system. They are also used to control the input and output of data, as well as to store and retrieve data from memory. CPUs are essential for the functioning of any computer system, and their applications in the computer industry are vast.

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GPU: GPU stands for Graphics Processing Unit and is a specialized type of processor designed to handle graphics-intensive tasks. It is used in the computer industry to render images, videos, and 3D graphics. GPUs are used in gaming consoles, PCs, and mobile devices to provide a smooth and immersive gaming experience. They are also used in the medical field to create 3D models of organs and tissues, and in the automotive industry to create virtual prototypes of cars. GPUs are also used in the field of artificial intelligence to process large amounts of data and create complex models. GPUs are becoming increasingly important in the computer industry as they are able to process large amounts of data quickly and efficiently.

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SAN: A Storage Area Network (SAN) is a high-speed and specialized network architecture designed to facilitate the connection of storage devices, such as disk arrays and tape libraries, to servers. Unlike traditional network-attached storage (NAS), which is file-based, SAN operates at the block level, enabling direct access to storage resources. SANs are known for their performance, scalability, and flexibility, making them ideal for data-intensive applications, large enterprises, and environments requiring high availability. SANs typically employ Fibre Channel or iSCSI protocols to establish dedicated and fast communication paths between servers and storage devices. With features like centralized management, efficient data replication, and snapshot capabilities, SANs offer advanced data storage, protection, and management options. Overall, SAN technology has revolutionized data storage and management, enabling organizations to efficiently handle complex storage requirements and ensure reliable data access.

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SoC: A System-on-Chip (SoC) is a highly integrated semiconductor device that encapsulates various electronic components, including processors, memory, input/output interfaces, and often specialized hardware components, all on a single chip. SoCs are designed to provide a complete computing system or subsystem within a single chip package, offering enhanced performance, power efficiency, and compactness. They are commonly used in a wide range of devices, from smartphones and tablets to embedded systems and IoT devices, streamlining hardware complexity and facilitating efficient integration of multiple functions onto a single chip.

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