Latest news with #NvidiaGPUTechnologyConference
Express Tribune
2 days ago
- Automotive
- Express Tribune
Nvidia unveils AEON humanoid robot in bid to expand AI power
Nvidia CEO Jensen Huang delivers the keynote for the Nvidia GPU Technology Conference (GTC) at the SAP Center in San Jose, California, US March 18, 2025. PHOTO: REUTERS Listen to article Nvidia has unveiled its most audacious leap yet—into humanoid robotics. Speaking at the VivaTech conference in Paris last month, CEO Jensen Huang introduced AEON, a full-stack humanoid robot developed in partnership with Swedish engineering firm Hexagon. More than a showpiece, AEON is fully built and operational, positioning Nvidia to extend its dominance from artificial intelligence into the physical world. 'Robotics may become the largest industry in the world,' Huang told the audience in Paris, signalling Nvidia's next frontier. Huang, who once faced skepticism over Nvidia's aggressive AI roadmap, now presides over a company that has become synonymous with the technology. But AEON marks the beginning of what he calls a broader revolution—one that blends Nvidia's AI chips, sensors, simulation software, and robotics platforms into a single end-to-end ecosystem. The company's robotics and automotive division generated $1.7 billion in revenue last year. Analysts expect that figure to soar to over $7.5 billion by the early 2030s, with AEON possibly accelerating those estimates. Read More: Nvidia unveils personal AI supercomputer Project DIGITS at CES 2025 Wall Street is taking notice. Nvidia is now just $50 billion shy of surpassing Microsoft's all-time market valuation, a milestone that could be reached within days. The firm's stock has already climbed 19% this year, despite early headwinds from US chip export restrictions to China. 'Investors are no longer just betting on Nvidia's chips,' one analyst noted. 'They're buying into the future of automation.' Traditionally, Nvidia's strongest financial performance arrives in the fourth quarter—averaging 23% growth, according to Dow Jones data. With AEON's high-profile debut and growing industry buzz, that trend may continue, potentially propelling the company past the $4 trillion valuation mark. The next industrial revolution? As tech rivals such as Apple and Amazon experience plateauing growth, Nvidia is charting new territory. AEON isn't just a robot—it's a symbol of Nvidia's evolving mission: building machines that think, see, and work in the real world. With Huang at the helm, the company that once redefined graphics processing is now positioning itself to reshape the very fabric of work and industry.
Express Tribune
24-05-2025
- Business
- Express Tribune
Nvidia to launch cheaper AI chip for China, mass production set for June
Nvidia CEO Jensen Huang delivers the keynote for the Nvidia GPU Technology Conference (GTC) at the SAP Center in San Jose, California, US March 18, 2025. PHOTO: REUTERS Listen to article Nvidia will launch a new artificial intelligence chipset for China at a significantly lower price than its recently restricted H20 model and plans to start mass production as early as June, sources familiar with the matter said. The GPU or graphics processing unit will be part of Nvidia's latest generation Blackwell-architecture AI processors and is expected to be priced between $6,500 and $8,000, well below the $10,000-$12,000 the H20 sold for, according to two of the sources. The lower price reflects its weaker specifications and simpler manufacturing requirements. It will be based on Nvidia's RTX Pro 6000D, a server-class graphics processor and will use conventional GDDR7 memory instead of more advanced high bandwidth memory, the two sources said. They added it would not use Taiwan Semiconductor Manufacturing Co's advanced Chip-on-Wafer-on-Substrate (CoWoS) packaging technology. The new chip's price, specifications and production timing have not previously been reported. The three sources Reuters spoke to for this article declined to be identified as they were not authorised to speak to media. An Nvidia spokesperson said the company was still evaluating its "limited" options. "Until we settle on a new product design and receive approval from the U.S. government, we are effectively foreclosed from China's $50 billion data center market." TSMC declined to comment. Market share plunge China remains a huge market for Nvidia, accounting for 13% of its sales in the past financial year. It's the third time that Nvidia has had to tailor a GPU for the world's second-largest economy after restrictions from US authorities who are keen to stymie Chinese technological development. After the US effectively banned the H20 in April, Nvidia initially considered developing a downgraded version of the H20 for China, sources have said, but that plan didn't work out. Nvidia CEO Jensen Huang said last week the company's older Hopper architecture - which the H20 uses - can no longer accommodate further modifications under current US export restrictions. Reuters was unable to determine the product's final name. Chinese brokerage GF Securities said in a note published on Tuesday that the new GPU would likely be called the 6000D or the B40, though it did not disclose pricing or cite sources for the information. According to two of the sources, Nvidia is also developing another Blackwell-architecture chip for China that is set to begin production as early as September. Reuters was not immediately able to confirm specifications of that variant. Nvidia's market share in China has plummeted from 95% before 2022, when US export curbs that impacted its products began, to 50% currently, Huang told reporters in Taipei this week. Its main competitor is Huawei which produces the Ascend 910B chip. Huang also warned that if US export curbs continue, more Chinese customers will buy Huawei's chips. The H20 ban forced Nvidia to write off $5.5 billion in inventory and Huang told the Stratechery podcast on Monday that the company also had to walk away from $15 billion in sales. The latest export restrictions introduced new limits on GPU memory bandwidth - a crucial metric measuring data transmission speeds between the main processor and memory chips. This capability is particularly important for AI workloads that require extensive data processing. Investment bank Jefferies estimates that the new regulations cap memory bandwidth at 1.7-1.8 terabytes per second. That compares with the 4 terabytes per second that the H20 is capable of. GF Securities forecast the new GPU will achieve approximately 1.7 terabytes per second using GDDR7 memory technology, just within the export control limits.
Forbes
02-04-2025
- Business
- Forbes
3 Takeaways On The Future Of AI From The Nvidia Conference
AI is becoming core enterprise infrastructure, re-architecting how companies compete. The Nvidia GPU Technology Conference (GTC) in San Jose this March was electrifying. A few of my colleagues were fortunate enough to attend, and discussing their experiences has been thrilling. Their biggest insight echoed what I've been hearing from energized executives across industries: AI has moved past experimental pilots and into the operational core of businesses. This isn't edge experimentation anymore. It's a full re-architecture of how companies compete. Here are three signals from GTC that show just how fast the AI future is arriving. Massive, general-purpose models are giving way to leaner, fine-tuned ones designed for specific tasks. Techniques like quantization, pruning, and retrieval-augmented generation (RAG) are pushing down costs without compromising quality. More companies are moving toward self-hosting for greater control, privacy, and speed. But this shift adds complexity—and few are fully equipped for the ops required. What's next? The real winners will plan for a world where AI inference is significantly cheaper, opening the door to broader adoption and new competitive dynamics. They won't just unlock productivity—they'll rethink their entire business models. AI will redefine what they offer, not just how they operate. Forward-looking CEOs will push past automation and into innovation, applying AI to build new products, hyper-personalize experiences, and create entirely new services. We're quickly moving from assistants to agentic AI. Though fully autonomous agents remain rare, semiautonomous ones—with human oversight—are gaining ground. Trust in these systems hinges on structured design: transparency, escalation paths, redundancy guardrails, traceability and auditability in production, and predictability. Frameworks like Nvidia's AgentIQ and emerging 'agent orchestration platforms' could help simplify the creation and integration of AI agents into enterprise systems. What can companies do today to prepare? Start with high-ROI use cases, then test fast and iterate even faster. It's also key to prepare your data to enable agent success. Leaders should be wary of standalone platforms, interrogating the quality of connectors to other systems. Most importantly, the organizations that win with agentic AI will be ones that prioritize learning. They will foster experimentation and embrace continuous improvement. Tools like Nvidia Picasso and Adobe Firefly are putting creative firepower in everyone's hands by generating product visuals, videos, 3D assets, and social content from simple prompts. Creative pipelines from platforms like RunwayML, Canva, and Synthesia are speeding up campaign cycles and unlocking personalization at scale. It's never been easier to deliver high-quality content—fast. Most companies won't build solutions in-house. Instead, smart marketers are piloting vendors to see which ones best fit their needs—and scaling quickly when they find a match. The selection process should move much faster than a typical marketing technology investment. Early adopters are already reaping the benefits: They've reduced campaign time to market by up to 50% and cut content creation time by 30% to 50%. In a recent Bain & Company survey, 27% of executives said generative AI has exceeded or far exceeded their expectations for marketing. To accelerate the next phase of generative AI maturity, CMOs will need to commit to bold ambitions and results. That means prioritizing big wins rather than letting a thousand flowers bloom. Marketing leaders will define their own workflows and opportunities, then partner with IT to cocreate solutions. For broad adoption, they will tailor training to employees' day-to-day work, showing where generative AI can complement and enhance their roles. These are just three of several key themes we observed. From data generation to digital twins, Nvidia GTC underlined that we've entered the next stage of enterprise AI maturity—and now it's time to chase the benefits.
Forbes
01-04-2025
- Business
- Forbes
Three Takeaways On The Future Of AI From The Nvidia Conference
The Nvidia GPU Technology Conference (GTC) in San Jose this March was electrifying. A few of my colleagues were fortunate enough to attend, and discussing their experiences has been thrilling. Their biggest insight echoed what I've been hearing from energized executives across industries: AI has moved past experimental pilots and into the operational core of businesses. This isn't edge experimentation anymore. It's a full re-architecture of how companies compete. Here are three signals from GTC that show just how fast the AI future is arriving. Massive, general-purpose models are giving way to leaner, fine-tuned ones designed for specific tasks. Techniques like quantization, pruning, and retrieval-augmented generation (RAG) are pushing down costs without compromising quality. More companies are moving toward self-hosting for greater control, privacy, and speed. But this shift adds complexity—and few are fully equipped for the ops required. What's next? The real winners will plan for a world where AI inference is significantly cheaper, opening the door to broader adoption and new competitive dynamics. They won't just unlock productivity—they'll rethink their entire business models. AI will redefine what they offer, not just how they operate. Forward-looking CEOs will push past automation and into innovation, applying AI to build new products, hyper-personalize experiences, and create entirely new services. We're quickly moving from assistants to agentic AI. Though fully autonomous agents remain rare, semiautonomous ones—with human oversight—are gaining ground. Trust in these systems hinges on structured design: transparency, escalation paths, redundancy guardrails, traceability and auditability in production, and predictability. Frameworks like Nvidia's AgentIQ and emerging 'agent orchestration platforms' could help simplify the creation and integration of AI agents into enterprise systems. What can companies do today to prepare? Start with high-ROI use cases, then test fast and iterate even faster. It's also key to prepare your data to enable agent success. Leaders should be wary of standalone platforms, interrogating the quality of connectors to other systems. Most importantly, the organizations that win with agentic AI will be ones that prioritize learning. They will foster experimentation and embrace continuous improvement. Tools like Nvidia Picasso and Adobe Firefly are putting creative firepower in everyone's hands by generating product visuals, videos, 3D assets, and social content from simple prompts. Creative pipelines from platforms like RunwayML, Canva, and Synthesia are speeding up campaign cycles and unlocking personalization at scale. It's never been easier to deliver high-quality content—fast. Most companies won't build solutions in-house. Instead, smart marketers are piloting vendors to see which ones best fit their needs—and scaling quickly when they find a match. The selection process should move much faster than a typical marketing technology investment. Early adopters are already reaping the benefits: They've reduced campaign time to market by up to 50% and cut content creation time by 30% to 50%. In a recent Bain & Company survey, 27% of executives said generative AI has exceeded or far exceeded their expectations for marketing. To accelerate the next phase of generative AI maturity, CMOs will need to commit to bold ambitions and results. That means prioritizing big wins rather than letting a thousand flowers bloom. Marketing leaders will define their own workflows and opportunities, then partner with IT to cocreate solutions. For broad adoption, they will tailor training to employees' day-to-day work, showing where generative AI can complement and enhance their roles. These are just three of several key themes we observed. From data generation to digital twins, Nvidia GTC underlined that we've entered the next stage of enterprise AI maturity—and now it's time to chase the benefits.
Associated Press
17-03-2025
- Business
- Associated Press
Artly AI Presents Natural Robotic Hand Upgrade for Barista Bot at Nvidia GTC 2025
SAN JOSE, Calif., March 17, 2025 /PRNewswire/ -- Artly AI ('Artly' or 'Company'), a leading AI robotics company specializing in service industry automation, has showcased its upcoming robotic hand upgrade for its Barista Bot robot coffee barista at the Nvidia GPU Technology Conference (GTC) 2025. This upgrade brings the Barista Bot even closer to human-level dexterity, expanding its capability to craft higher-quality artisan coffee drinks. Designed for coffee shops, event venues, and restaurants, Artly's Barista Bot is built on Artly's Vision-Language-Action (VLA) AI model. Trained using motion capture data provided by world-class human baristas, Barista Bot can already craft 28 hot and iced beverages by replicating the artist's movements. The new robotic hand upgrade improves the current gripper system in replicating human motion to better manipulate everyday objects. Due to mechanical differences, a customized gripper cannot perform the same movements as a human hand. They are more suited for grasping specific items and lack the range of motion and flexibility needed to operate complex objects effectively. This is why Artly adopted robotic hands for the Barista Bot. With it, the Barista Bot can quickly adapt to various objects and tools designed for humans, such as cups, spoons, and more. Artly's upgraded robotic hand replicates the natural motions of a human hand with up to 20 degrees of freedom. It also has force feedback and high-precision tactile sensors to manage delicate objects. To further enhance its functionality, Artly is developing additional sensors for food and beverage applications, such as temperature sensors. Artly's robotic platform extends beyond coffee-making. The system can slice fruit, manage glassware, prepare cocktails, and more, making it perfect for restaurants and self-serve kiosks in busy locations like airports. Additionally, since the robotic hand aligns more closely with the motion-captured training data, it can be rapidly trained in other sectors, such as healthcare and logistics. 'With this new upgrade, Barista Bot now moves with even greater agility, mimicking human brewing techniques like never before,' said Yushan Chen, Chief Operating Officer of Artly. 'By integrating our VLA with cutting-edge robotics, we ensure each cup is crafted with the skill and consistency of an award-winning barista. Our mission is to share culinary artistry with everyone, and we invite GTC attendees to experience it firsthand.' At GTC 2025, Artly is demonstrating the robot hand at the Microsoft exhibit located at booth #514. More updates on Artly's robotic hand upgrade will be available on Artly's website in May 2025. About Artly Founded in 2020, Artly has transformed the coffee industry by combining advanced AI with a deep appreciation for artisanal coffee. Utilizing cutting-edge technology, the company provides authentic specialty coffee experiences through its robotic baristas. Since its inception, Artly has raised over $10 million, opened nine locations across the United States, served nearly 1 million cups of coffee, and generated over $5 million in coffee revenue. With a client portfolio that includes Jump Trading, Microsoft, MUJI, Nvidia, and other established companies, Artly is poised to lead the food and beverage automation market while preserving the craftsmanship and artistry behind every cup. Media Contact
