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TechnologySemiconductors & Related Devices

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Technology · Semiconductors & Related Devices

Our Company NVIDIA pioneered accelerated computing to help solve the most challenging computational problems. NVIDIA is now a data center scale AI infrastructure company reshaping all industries. Our technology stack includes the foundational NVIDIA CUDA development platform that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, frameworks, algorithms, software development kits, or SDKs, and application programming interfaces, or APIs. This deep and broad software stack accelerates the performance and facilitates the deployment of NVIDIA accelerated computing for computationally intensive workloads such as artificial intelligence, or AI, model training and inference, data analytics, scientific computing, robotics, and 3D graphics, with vertical-specific optimizations to address industries ranging from healthcare and telecom to automotive and manufacturing. Introduced with the Blackwell architecture, our data-center-scale offerings feature extreme co-design where the infrastructure s chips, networking, systems, software, and algorithms are holistically architected and optimized to maximize performance and scale. Hundreds of thousands of GPUs can be interconnected to function as a single giant computer. This type of data center architecture and scale is needed for the development and deployment of modern AI and accelerated computing applications. The GPU was initially used to simulate human imagination, enabling the virtual worlds of video games and films. Today, it also simulates human intelligence, enabling a deeper understanding of language, science, and the physical world. Its parallel processing capabilities, supported by tens of thousands of computing cores, are essential for deep learning algorithms. This form of AI, in which software writes itself by learning from large amounts of data, can serve as the brain of computers, robots, and self-driving cars that can perceive, understand and reason about the world. GPU-powered AI solutions are being developed by thousands of enterprises to deliver services and products that would have been immensely difficult or even impossible with traditional coding. Examples include generative AI, which can create new content such as text, code, images, audio, video, molecule structures, and recommendation systems; and agentic AI where systems of AI models work in concert to automatically complete a task.

Bývalé názvy: NVIDIA CORP/CA

Zdroj: poslední 10-K (SEC EDGAR) ↗

Sídlo

Adresa
2788 SAN TOMAS EXPRESSWAY
SANTA CLARA, CA, 95051
CA
Stát založení
DE

Klasifikace

Sektor
Technology
Odvětví
Semiconductors & Related Devices
Burza
NASDAQ - ALL MARKETS
Měna listingu
USD
Konec fisk. roku
31. ledna

Pokrytí dat

Počet výročních zpráv
65
Let historie
19
První výroční zpráva
2009
Poslední výroční zpráva
2027
Vypočteno z (konec Q2 2027)

Externí zdroje

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