Nvidia использует собственные чипы для проектирования оборудования, в то время как AMD полагается на конкурентов

30-second brief

Nvidia relies on its own proprietary chips to design future hardware generations. In contrast, rival semiconductor firm AMD uses external technologies and competitor infrastructure for its design workflows.

One-minute read

A key divergence in strategy has emerged between major semiconductor producers Nvidia and AMD regarding hardware development workflows. Nvidia uses its own high-performance graphics processing units and specialized AI hardware to power the simulations, design pipelines, and testing needed for next-generation products. This self-contained compute ecosystem allows Nvidia to leverage its current market lead to optimize future design cycles. Conversely, competitor AMD utilizes third-party infrastructure and competitor technology to assist in engineering and designing its chips. As hardware architectures grow increasingly complex and require vast computational power for design verification, these opposing operational approaches highlight how leading chipmakers navigate infrastructure costs, software ecosystems, and market competition.

Background

Developing advanced microprocessors requires massive computational infrastructure for simulation and testing. Chip designers often choose between building internal supercomputing capabilities or utilizing external hardware partners.

Key terms

GPU

Graphics Processing Unit, a specialized electronic circuit designed to accelerate computer graphics and artificial intelligence processing.

Semiconductor

A material or device that manages electrical current, serving as the foundation for microchips and electronic hardware.