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Últimas Noticias de IA
Amazon CEO takes aim at Nvidia, Intel, Starlink, more in annual shareholder letter
Amazon CEO Andy Jassy’sannual shareholder letterreads something like a Kendrick Lamar diss track, if the rapper was a corporate-speak-talking CEO and not a poetic Pulitzer-prize winning musician. Meaning, you have to know the history to understand all of the competitors Jassy takes aim at, alongside cute personal stories about his unrealized dream of being a sportscaster and watching hockey games with his dad. Of course, Jassy doesn’t throw the gauntlet down directly. He takes a more nuanced approach. For instance, in his challenge to Nvidia, he writes, “We have a strong partnership with NVIDIA, will always have customers who choose to run NVIDIA” and will always support these chips in its cloud. But he also says: “Virtually all AI thus far has been done on NVIDIA chips, but a new shift has started.” AWS customers, he says, “want better price-performance” meaning Amazon’s own home-grown Trainium AI chips. Jassy says demand is so high for this chip that capacity for the newest one, Trainium3, is nearly sold out. Remarkably, he says that capacity is also nearly sold out for Trainium4, which is still 18 months away from being available. This means that Trainium has hit a $20 billion annual revenue run rate. But if Amazon were a chipmaker that sold its wares to others, it would be at $50 billion ARR, he postulates. Granted, Nvidiadid $215.9 billion in actual revenuelast year. Nvidia may not be shaking in its boots, yet. Still, Jassy presents Trainium as a formidable up-and-comer. Jassy didn’t spare Intel either. He points out that AWS’s homegrown Graviton CPU, a competitor to the Intel x86 architecture, “is now used expansively by 98% of the top 1,000 EC2 customers,” aka some of the biggest companies in the world. Two companies even asked to “buyallof our Graviton instance capacity in 2026,” he writes (emphasis his). “We can’t agree to these requests given other customers’ needs, but it gives you an idea of the demand.” He promised that Amazon’s Starlink competitor, Amazon Leo, scheduled to launch in mid-2026, is already succeeding, too. It’s won contracts from Delta Airlines, AT&T, Vodafone, Australia’s National Broadband Network, and NASA, among others. Interestingly, he also said Amazon could be looking at selling robotics one day. It may turn all the data from its 1 million warehouse robots into “robotics solutions” for industrial uses and consumers, he wrote. Is there an Amazon humanoid in our future? We’ll see. He talked up other Amazon businesses, too, like same-day delivery, groceries, and drones. But mostly, Jassy tried to make the case for the hundreds of billions of dollars of capital expenditures he’s committed. In February, he announcedplans to spend $200 billion in 2026 on capex, mostly building out AWS data centers. That’s more than any of the other major tech companies, which are also spending big on capex. Jassy’s pitch to shareholders makes sense, considering Amazon’s stock plunged to below $200 a share and hasn’t recovered. “We’re not investing approximately $200 billion in capex in 2026 on a hunch,” he wrote, using as an example that his deal with OpenAI included the model maker pledging to spend $100 billion on AWS. Of course, there are those whodoubt OpenAI will meet all of its spending promises. In a nod to that, Jassy insists that beyond OpenAI, “there are several other customer agreements completed (and unannounced), or deep in process,” lined up to buy the AWS capacity. We’ll have to wait and see. Those who cause a bubble are never the ones who see (or admit to) its existence. “I’ve followed the public debate on whether this technology is over-hyped, whether we’re in ‘a bubble.’” But he declares in this letter that, for Amazon at least, this isn’t the case.
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Meta Superintelligence Labs’ First AI Model Muse Spark Brings Reasoning, New Features to Chatbot
Meta Superintelligence Labs, a new division that handles the company's artificial intelligence (AI) research and development, released its first model on Wednesday. The release comes nearly nine months after the division was set up, marking an important moment in the Menlo Park-based tech giant's AI aspirations. Dubbed Muse Spark, the company claims it is faster and more capable than previous models. It is currently being rolled out to the Meta AI website and the app, with plans to integrate it into the company's social media platforms in the coming weeks.
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SiMa.ai Secures Micron Investment to Expand Physical AI Systems
The partnership integrates memory and compute to scale edge AI deployments across robotics and industrial automation.
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QNu Labs Validates its Quantum Key Distribution Performance for Encrypted Communication
The study shows secure key generation over 200 km and compatibility with existing telecom networks.
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Tata Power, Databricks to Build Data, AI Platform to Accelerate Energy Transition
By integrating Databricks’ advanced analytics and AI, Tata Power will enhance grid management and renewable energy forecasting.
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Anscer’s Real Play Isn’t Just Robots. It’s Overhauling the Entire Warehouse
Amid chip shortages and supply chain disruptions, Anscer has redefined its approach by developing sovereign, modular hardware.
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Edge AI Company Tsecond.ai Bags $21.5 Mn Led by MSN Holdings for Defence Applications
Tsecond.ai will advance its BRYCK platform, a portable edge data storage and computing device, for defence applications.
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Emergent In Talks to Raise $250 Mn at 5x Valuation: Report
Emergent previously raised $70 million in a round led by Khosla Ventures and SoftBank at a valuation of about $300 million.
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Anthropic Launches Claude Managed Agents to Speed up Deployment for Developers
Developers can access the feature through the Claude Platform, its console, or a command-line interface for deployment.
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Deloitte India Launches Quantum Centre at IIT Bombay for Enterprises
This centre aims to help Indian businesses build quantum strategies and move towards real-world applications.
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TCS Q4 Revenue Grows 5.6% QoQ, Buoyed by $2.3 Bn AI Run-Rate, HyperVault
TCS boasted improving quarterly momentum and strong deal wins, even as FY26 constant currency growth remained under pressure.
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Constraint Beats Cleverness in AI Systems, says Millennium AI Lead at MLDS 2026
Drawing parallels to the shift from artisanal car manufacturing to assembly lines, Vaibhav Jain highlighted the importance of standardisation, observability, and user trust in creating reliable AI systems.
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