¿Por qué están cayendo las acciones de Nvidia hoy?

cryptonews.ruPublished on 2026-08-24Last updated on 2026-08-24

Abstract

Las acciones de Nvidia cayeron aproximadamente un 2% este lunes, tras un inicio al alza, influenciadas por noticias relacionadas con Groq. Nvidia anunció el inicio de la producción masiva de su bastidor Groq 3 LPX, tecnología derivada de su mayor adquisición histórica por 20 mil millones de dólares. Estos bastidores, que albergan 256 chips Groq 3 cada uno y ofrecen alta velocidad de procesamiento (3.400 tokens/segundo), serán utilizados por Nebius Group. Nvidia busca monetizar esta velocidad permitiendo a proveedores de nube ofrecer niveles de servicio premium con menor latencia. A pesar de la caída, el valor de mercado de Nvidia ronda los 5,2 billones de dólares. Analistas de Rosenblatt Securities y Wedbush mantienen recomendaciones positivas y altas expectativas para el próximo informe de resultados del segundo trimestre, que se publicará este miércoles, anticipando que superará las previsiones.

Las acciones de Nvidia (NASDAQ: NVDA) dieron un giro brusco el lunes. Poco después de la apertura del mercado, subieron aproximadamente un 3% para luego caer alrededor de un 2% tras la aparición de noticias de Groq.

Anteriormente hoy, Nvidia anunció el inicio de la producción en masa de su bastidor Groq 3 LPX, convirtiendo la tecnología obtenida de la mayor adquisición en la historia de Nvidia en un equipo listo para usar.

En diciembre del año pasado, Nvidia gastó 20 mil millones de dólares en la adquisición de activos de la startup Groq, dedicada al desarrollo de chips para inteligencia artificial. Estos bastidores serán entregados a la compañía Nebius Group (NASDAQ: NBIS), que opera en el ámbito de la computación neocloud, donde se utilizarán junto con los procesadores Vera y las unidades de procesamiento gráfico Rubin.

Dion Harris, director senior de Nvidia, informó a los periodistas que el lanzamiento debería tener lugar más adelante este año. Nvidia busca acelerar el procesamiento de datos, donde la velocidad es crucial para los agentes de IA, especialmente para sistemas de programación que necesitan responder sin largas demoras. Nvidia afirma que los proveedores de servicios en la nube pueden cobrar tarifas más altas por tokens que cumplan con requisitos más estrictos de velocidad y latencia.

Según FactSet (NYSE: FDS), la capitalización de mercado de Nvidia asciende ahora a aproximadamente 5.2 billones de dólares, lo que la convierte en la compañía más grande del mundo por capitalización bursátil. Al cierre del mercado del viernes, las acciones de la compañía habían subido casi un 7% en agosto, mientras que el índice S&P 500 aumentó alrededor de un 2.5%.

De acuerdo con datos de London Stock Exchange Group (LSE: LSEG), los analistas esperan que los ingresos y ganancias trimestrales alcancen aproximadamente el doble del nivel del mismo período del año anterior.

Nvidia implementa Groq 3 en los sistemas de sus clientes, ya que una mayor velocidad de procesamiento de datos con IA crea otro servicio de pago

Cada bastidor Groq 3 LPX alberga 256 chips Groq 3 individuales. Según Nvidia, una instalación completa puede generar 3400 tokens por segundo, según pruebas de inteligencia artificial. Cada procesador tiene 500 megabytes de memoria de acceso aleatorio (SRAM) directamente en el chip.

Esto permite almacenar datos cerca del procesador y elimina las ralentizaciones causadas por memorias más lentas. La compañía Samsungtron(KRX: 005930) fabrica los chips Groq, y la compañía Taiwan Semiconductor Manufacturing (NYSE: TSM) fabrica las unidades de procesamiento gráfico de Nvidia.

Dion explicó cómo Nvidia y los proveedores de servicios en la nube pueden beneficiarse económicamente de esta velocidad. "Para aquellos que proporcionan tokens, esto abre la posibilidad de ofrecer niveles de servicio premium para aquellos usuarios y clientes que realmente requieren acuerdos de servicio más sensibles a la latencia", dijo.

Luego, las compañías de la nube pueden crear otro nivel de precios para clientes que necesiten respuestas de IA más rápidas en lugar de la velocidad de servicio estándar.

Nvidia también está aumentando los envíos de sus sistemas Vera Rubin, cuya producción comenzó a principios de este año. Cuando se presentaron Vera Rubin y Groq 3 LPX en marzo, el CEO Jensen Huang afirmó que Blackwell y Vera Rubin juntos podrían generar un total de 1 billón de dólares en ventas para 2027.

Jensen también declaró que planea asignar el 25% del espacio del centro de datos utilizado para el procesamiento de software a los procesadores Groq. "El resto de mi centro de datos está ocupado al 100% por procesadores Vera Rubin", dijo Jensen.

Wall Street eleva las expectativas para Nvidia, mientras los analistas mantienen altas expectativas sobre el precio de las acciones

Los analistas de Rosenblatt Securities mantuvieron su recomendación de "Comprar" para las acciones de Nvidia y mantuvieron el precio objetivo en 325.00 dólares. Las acciones de Nvidia cotizaban a 214.72 dólares, e InvestingPro estimó un valor razonable de 259.96 dólares.

Los analistas de Rosenblatt esperan que el informe de Nvidia del segundo trimestre del año fiscal 2027 supere las expectativas de Wall Street tanto en ingresos como en ganancias. También anticipan que la publicación de los resultados financieros impulsará el precio de las acciones de la compañía.

El analista de Wedbush, Matt Bryson, que otorgó a las acciones de Nvidia una calificación de "Superior al mercado", espera que el reciente repunte de las acciones continúe tras la publicación de resultados el miércoles. Matt también cree que Nvidia superará sus propias previsiones y presentará un pronóstico para el trimestre de octubre que será mejor de lo que esperan los analistas de Wall Street.

"Una vez más, esperamos que NVDA supere sus pronósticos y confirme un pronóstico para octubre superior a las expectativas de los analistas, dados 1) el aumento del gasto en hiperescala que se ha fortalecido aún más con los resultados del segundo trimestre, y 2) la situación de suministro que seguimos considerando la mejor de la industria, donde el acceso a componentes y materiales, y no la demanda final, define los volúmenes de suministro", escribió Matt.

Nvidia debe publicar sus resultados financieros del segundo trimestre el miércoles después del cierre del mercado, y, como es habitual, Cryptopolitan realizará una transmisión en vivo.

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Related Questions

Q¿Cuál fue la reacción del mercado de valores de Nvidia (NASDAQ: NVDA) el lunes tras las noticias de Groq?

ALas acciones de Nvidia (NASDAQ: NVDA) experimentaron una fuerte reversión el lunes. Tras un aumento inicial de aproximadamente un 3% después de la apertura, cayeron alrededor de un 2% después de que se publicaron noticias relacionadas con Groq.

Q¿Qué anunció Nvidia en relación con el sistema Groq 3 LPX y qué compañía lo utilizará?

ANvidia anunció el inicio de la producción en masa de su bastidor Groq 3 LPX, transformando la tecnología adquirida en equipamiento listo para usar. Estos bastidores serán proporcionados a Nebius Group (NASDAQ: NBIS), una compañía de computación neocloud, donde se utilizarán junto con los procesadores Vera y las GPUs Rubin.

Q¿Según el director sénior de Nvidia, Dion Harris, cómo pueden los proveedores de nube beneficiarse económicamente de la mayor velocidad de procesamiento de Groq 3?

ADion Harris explicó que la mayor velocidad permite a los proveedores de nube ofrecer niveles de servicio premium a usuarios y clientes que requieren acuerdos de nivel de servicio (SLA) con baja latencia. Esto les permite crear otro nivel de precios para clientes que necesitan respuestas de IA más rápidas.

Q¿Qué pronóstico hizo el CEO de Nvidia, Jensen Huang, en marzo sobre las ventas combinadas de los sistemas Blackwell y Vera Rubin para 2027?

AEn marzo, el CEO Jensen Huang declaró que los sistemas Blackwell y Vera Rubin juntos podrían generar un total de 1 billón de dólares en ventas para el año 2027.

Q¿Qué expectativas tienen los analistas de Rosenblatt Securities y Wedbush sobre los resultados del segundo trimestre fiscal de Nvidia que se publicarán el miércoles?

ALos analistas de Rosenblatt Securities esperan que los resultados del segundo trimestre superen las expectativas de Wall Street tanto en ingresos como en ganancias, y que impulsen el precio de las acciones. El analista de Wedbush, Matt Bryson, también anticipa que Nvidia superará sus propias previsiones y ofrecerá una guía para el trimestre de octubre que sea mejor de lo esperado por los analistas.

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Agent S: The Future of Autonomous Interaction in Web3 Introduction In the ever-evolving landscape of Web3 and cryptocurrency, innovations are constantly redefining how individuals interact with digital platforms. One such pioneering project, Agent S, promises to revolutionise human-computer interaction through its open agentic framework. By paving the way for autonomous interactions, Agent S aims to simplify complex tasks, offering transformative applications in artificial intelligence (AI). This detailed exploration will delve into the project's intricacies, its unique features, and the implications for the cryptocurrency domain. What is Agent S? Agent S stands as a groundbreaking open agentic framework, specifically designed to tackle three fundamental challenges in the automation of computer tasks: Acquiring Domain-Specific Knowledge: The framework intelligently learns from various external knowledge sources and internal experiences. This dual approach empowers it to build a rich repository of domain-specific knowledge, enhancing its performance in task execution. Planning Over Long Task Horizons: Agent S employs experience-augmented hierarchical planning, a strategic approach that facilitates efficient breakdown and execution of intricate tasks. This feature significantly enhances its ability to manage multiple subtasks efficiently and effectively. Handling Dynamic, Non-Uniform Interfaces: The project introduces the Agent-Computer Interface (ACI), an innovative solution that enhances the interaction between agents and users. Utilizing Multimodal Large Language Models (MLLMs), Agent S can navigate and manipulate diverse graphical user interfaces seamlessly. Through these pioneering features, Agent S provides a robust framework that addresses the complexities involved in automating human interaction with machines, setting the stage for myriad applications in AI and beyond. Who is the Creator of Agent S? While the concept of Agent S is fundamentally innovative, specific information about its creator remains elusive. The creator is currently unknown, which highlights either the nascent stage of the project or the strategic choice to keep founding members under wraps. Regardless of anonymity, the focus remains on the framework's capabilities and potential. Who are the Investors of Agent S? As Agent S is relatively new in the cryptographic ecosystem, detailed information regarding its investors and financial backers is not explicitly documented. The lack of publicly available insights into the investment foundations or organisations supporting the project raises questions about its funding structure and development roadmap. Understanding the backing is crucial for gauging the project's sustainability and potential market impact. How Does Agent S Work? At the core of Agent S lies cutting-edge technology that enables it to function effectively in diverse settings. Its operational model is built around several key features: Human-like Computer Interaction: The framework offers advanced AI planning, striving to make interactions with computers more intuitive. By mimicking human behaviour in tasks execution, it promises to elevate user experiences. Narrative Memory: Employed to leverage high-level experiences, Agent S utilises narrative memory to keep track of task histories, thereby enhancing its decision-making processes. Episodic Memory: This feature provides users with step-by-step guidance, allowing the framework to offer contextual support as tasks unfold. Support for OpenACI: With the ability to run locally, Agent S allows users to maintain control over their interactions and workflows, aligning with the decentralised ethos of Web3. Easy Integration with External APIs: Its versatility and compatibility with various AI platforms ensure that Agent S can fit seamlessly into existing technological ecosystems, making it an appealing choice for developers and organisations. These functionalities collectively contribute to Agent S's unique position within the crypto space, as it automates complex, multi-step tasks with minimal human intervention. As the project evolves, its potential applications in Web3 could redefine how digital interactions unfold. Timeline of Agent S The development and milestones of Agent S can be encapsulated in a timeline that highlights its significant events: September 27, 2024: The concept of Agent S was launched in a comprehensive research paper titled “An Open Agentic Framework that Uses Computers Like a Human,” showcasing the groundwork for the project. October 10, 2024: The research paper was made publicly available on arXiv, offering an in-depth exploration of the framework and its performance evaluation based on the OSWorld benchmark. October 12, 2024: A video presentation was released, providing a visual insight into the capabilities and features of Agent S, further engaging potential users and investors. These markers in the timeline not only illustrate the progress of Agent S but also indicate its commitment to transparency and community engagement. Key Points About Agent S As the Agent S framework continues to evolve, several key attributes stand out, underscoring its innovative nature and potential: Innovative Framework: Designed to provide an intuitive use of computers akin to human interaction, Agent S brings a novel approach to task automation. Autonomous Interaction: The ability to interact autonomously with computers through GUI signifies a leap towards more intelligent and efficient computing solutions. Complex Task Automation: With its robust methodology, it can automate complex, multi-step tasks, making processes faster and less error-prone. Continuous Improvement: The learning mechanisms enable Agent S to improve from past experiences, continually enhancing its performance and efficacy. Versatility: Its adaptability across different operating environments like OSWorld and WindowsAgentArena ensures that it can serve a broad range of applications. As Agent S positions itself in the Web3 and crypto landscape, its potential to enhance interaction capabilities and automate processes signifies a significant advancement in AI technologies. Through its innovative framework, Agent S exemplifies the future of digital interactions, promising a more seamless and efficient experience for users across various industries. Conclusion Agent S represents a bold leap forward in the marriage of AI and Web3, with the capacity to redefine how we interact with technology. While still in its early stages, the possibilities for its application are vast and compelling. Through its comprehensive framework addressing critical challenges, Agent S aims to bring autonomous interactions to the forefront of the digital experience. As we move deeper into the realms of cryptocurrency and decentralisation, projects like Agent S will undoubtedly play a crucial role in shaping the future of technology and human-computer collaboration.

1.1k Total ViewsPublished 2025.01.14Updated 2025.01.14

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