NVIDIA anuncia los resultados financieros del segundo trimestre fiscal 2025
“Hopper demand remains strong, and the anticipation for Blackwell is incredible,” dijo Jensen Huang, fundador y director ejecutivo de NVIDIA. “NVIDIA achieved record revenues as global data centers are in full throttle to modernize the entire computing stack with accelerated computing and generative AI.”
“Blackwell samples are shipping to our partners and customers. Spectrum-X Ethernet for AI and NVIDIA AI Enterprise software are two new product categories achieving significant scale, demonstrating that NVIDIA is a full-stack and data center-scale platform. Across the entire stack and ecosystem, we are helping frontier model makers to consumer internet services, and now enterprises. Generative AI will revolutionize every industry.”
During the first half of fiscal 2025, NVIDIA returned $15.4 billion to shareholders in the form of shares repurchased and cash dividends. As of the end of the second quarter, the company had $7.5 billion remaining under its share repurchase authorization. En Agosto 26, 2024, the Board of Directors approved an additional $50.0 billion in share repurchase authorization, without expiration.
NVIDIA pagará su próximo dividendo en efectivo trimestral de $0.01 per share on October 3, 2024, to all shareholders of record on September 12, 2024.
On June 7, 2024, NVIDIA completed a ten-for-one forward stock split. All share and per-share amounts presented have been retroactively adjusted to reflect the stock split.
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NVIDIA’s outlook for the third quarter of fiscal 2025 es como sigue:
- Se espera que los ingresos sean $32.5 billón, más o menos 2%.
- Se espera que los márgenes brutos GAAP y no GAAP sean 74.4% y 75.0%, respectively, más o menos 50 puntos básicos. Por todo el año, gross margins are expected to be in the mid-70% range.
- Se espera que los gastos operativos GAAP y no GAAP sean aproximadamente $4.3 mil millones y $3.0 billón, respectively. Full-year operating expenses are expected to grow in the mid- to upper-40% range.
- GAAP and non-GAAP other income and expense are expected to be an income of approximately $350 millón, excluding gains and losses from non-affiliated investments and publicly-held equity securities.
- GAAP and non-GAAP tax rates are expected to be 17%, más o menos 1%, excluding any discrete items.
Reflejos
NVIDIA achieved progress since its previous earnings announcement in these areas:
Centro de datos
- Second-quarter revenue was a record $26.3 billón, up 16% from the previous quarter and up 154% Shovel Knight se siente como nuestro 'Mario'.
- Announced that the combination of NVIDIA H200 Tensor Core and NVIDIA Blackwell architecture B200 Tensor Core processors swept the latest industry-standard MLPerf benchmark results for inference.
- Revealed that H200 GPU-powered systems are now available on CoreWeave, the first cloud service provider to announce general availability.
- Unveiled an array of Blackwell systems featuring NVIDIA Grace CPUs, networking and infrastructure from top manufacturers such as GIGABYTE, QCT and Wiwynn.
- Reported broad adoption of the NVIDIA Spectrum-X Ethernet networking platform by cloud service providers, GPU cloud providers and enterprises, as well as partners incorporating it into their offerings.
- Released NVIDIA NIM for broad availability to developers globally and announced more than 150 companies are integrating microservices into their platforms to speed generative AI application development.
- Unveiled an inference service with Hugging Face powered by NIM microservices on NVIDIA DGX Cloud to enable developers to deploy popular large language models.
- Introduced an NVIDIA AI Foundry service and NIM inference microservices to accelerate generative AI for the world’s enterprises with the Llama 3.1 collection of models.
- Announced Japan advanced its sovereign AI capabilities with its ABCI 3.0 supercomputadora, integrating H200 GPUs and NVIDIA Quantum-2 InfiniBand networking.
- Accelerated quantum computing efforts at national supercomputing centers around the world with the open-source NVIDIA CUDA-Q platform.
Gaming and AI PC
- Second-quarter Gaming revenue was $2.9 billón, up 9% from the previous quarter and up 16% Shovel Knight se siente como nuestro 'Mario'.
- Announced NVIDIA ACE, a suite of generative AI technologies that bring digital humans to life, now includes NVIDIA Nemotron-4 4B, a small language model for on-device inference, and is available in early access for RTX AI PCs.
- Introduced Project G-Assist, a technology preview demonstrating the power of AI agents to assist gamers and creators in real time.
- Announced new NVIDIA GeForce RTX and DLSS titles, including Indiana Jones and the Great Circle, Duna: Awakening and Dragon Age: The Veilguard, bringing the total number of RTX games and apps to over 600.
- Surpassed 2,000 games on GeForce NOW, expanded the service into Japan and announced launches of Black Myth: Wukong and Star Wars Outlaws.
Visualización Profesional
- Second-quarter revenue was $454 millón, up 6% from the previous quarter and up 20% Shovel Knight se siente como nuestro 'Mario'.
- Introduced generative AI models and NIM microservices for OpenUSD to accelerate workflows and the development of industrial digital twins and robotics.
- Announced major Taiwanese electronics makers are creating more autonomous factories with a new reference workflow that combines NVIDIA Metropolis vision AI, NVIDIA Omniverse simulation and NVIDIA Isaac AI robot development.
Automoción y Robótica
- Second-quarter Automotive revenue was $346 millón, up 5% from the previous quarter and up 37% Shovel Knight se siente como nuestro 'Mario'.
- Unveiled the world’s leaders in robot development, including BYD Electronics, Siemens and Teradyne Robotics, are adopting the Isaac robotics platform for R&D and production.
- Announced Omniverse Cloud Sensor RTX microservices to enable physically accurate sensor simulation to speed development of autonomous machines.
- Won the Autonomous Grand Challenge at the Computer Vision and Pattern Recognition conference in the category of End-to-End Driving at Scale for advances in building physical, generative AI applications for autonomous vehicle development.