The post Amazon to invest $50B in US AI, supercomputing expansion appeared on BitcoinEthereumNews.com. Homepage > News > Business > Amazon to invest $50B in US AI, supercomputing expansion Amazon (NASDAQ: AMZN) has announced an investment of up to $50 billion to expand artificial intelligence (AI) and supercomputing capabilities for Amazon Web Services (AWS) United States government customers in 2026. AWS revealed it would be building and deploying “the first-ever AI and high-performance computing (HPC) purpose-built infrastructure for the U.S. government,” in a new investment the company said would add nearly 1.3 gigawatts of compute capacity for U.S. government agencies. “This investment, set to break ground in 2026, will add nearly 1.3 gigawatts of AI and supercomputing capacity across AWS Top Secret, AWS Secret, and AWS GovCloud (US) Regions by building data centers with advanced compute and networking technologies,” said AWS in a press release. The company added that as part of the investment, Federal agencies will gain “expanded access” to AWS’s AI services, including Amazon SageMaker AI for model training and customization, mazon Bedrock for model and agent deployment, Amazon Nova, Anthropic Claude, and AWS Trainium AI chips. “These new capabilities will be available to existing and future U.S. government customers…strengthening America’s AI leadership and giving federal agencies the secure, scalable infrastructure they need for the next era of innovation,” said Amazon. “This investment will enable government agencies to accelerate discovery and decision-making across government missions.” The company claimed the investment has the potential to transform U.S. government operations, ranging from national security to scientific research and innovation, allowing agencies to achieve in hours what once took weeks or months. According to Amazon, its investment also directly supports the priorities outlined in the Trump Administration’s AI Action Plan—such as accelerating AI adoption in government and investing in AI-enabled science—as well as boosting other advanced computing initiatives deployed on secure, U.S.-based AI and cloud… The post Amazon to invest $50B in US AI, supercomputing expansion appeared on BitcoinEthereumNews.com. Homepage > News > Business > Amazon to invest $50B in US AI, supercomputing expansion Amazon (NASDAQ: AMZN) has announced an investment of up to $50 billion to expand artificial intelligence (AI) and supercomputing capabilities for Amazon Web Services (AWS) United States government customers in 2026. AWS revealed it would be building and deploying “the first-ever AI and high-performance computing (HPC) purpose-built infrastructure for the U.S. government,” in a new investment the company said would add nearly 1.3 gigawatts of compute capacity for U.S. government agencies. “This investment, set to break ground in 2026, will add nearly 1.3 gigawatts of AI and supercomputing capacity across AWS Top Secret, AWS Secret, and AWS GovCloud (US) Regions by building data centers with advanced compute and networking technologies,” said AWS in a press release. The company added that as part of the investment, Federal agencies will gain “expanded access” to AWS’s AI services, including Amazon SageMaker AI for model training and customization, mazon Bedrock for model and agent deployment, Amazon Nova, Anthropic Claude, and AWS Trainium AI chips. “These new capabilities will be available to existing and future U.S. government customers…strengthening America’s AI leadership and giving federal agencies the secure, scalable infrastructure they need for the next era of innovation,” said Amazon. “This investment will enable government agencies to accelerate discovery and decision-making across government missions.” The company claimed the investment has the potential to transform U.S. government operations, ranging from national security to scientific research and innovation, allowing agencies to achieve in hours what once took weeks or months. According to Amazon, its investment also directly supports the priorities outlined in the Trump Administration’s AI Action Plan—such as accelerating AI adoption in government and investing in AI-enabled science—as well as boosting other advanced computing initiatives deployed on secure, U.S.-based AI and cloud…

Amazon to invest $50B in US AI, supercomputing expansion

Amazon (NASDAQ: AMZN) has announced an investment of up to $50 billion to expand artificial intelligence (AI) and supercomputing capabilities for Amazon Web Services (AWS) United States government customers in 2026.

AWS revealed it would be building and deploying “the first-ever AI and high-performance computing (HPC) purpose-built infrastructure for the U.S. government,” in a new investment the company said would add nearly 1.3 gigawatts of compute capacity for U.S. government agencies.

“This investment, set to break ground in 2026, will add nearly 1.3 gigawatts of AI and supercomputing capacity across AWS Top Secret, AWS Secret, and AWS GovCloud (US) Regions by building data centers with advanced compute and networking technologies,” said AWS in a press release.

The company added that as part of the investment, Federal agencies will gain “expanded access” to AWS’s AI services, including Amazon SageMaker AI for model training and customization, mazon Bedrock for model and agent deployment, Amazon Nova, Anthropic Claude, and AWS Trainium AI chips.

“These new capabilities will be available to existing and future U.S. government customers…strengthening America’s AI leadership and giving federal agencies the secure, scalable infrastructure they need for the next era of innovation,” said Amazon. “This investment will enable government agencies to accelerate discovery and decision-making across government missions.”

The company claimed the investment has the potential to transform U.S. government operations, ranging from national security to scientific research and innovation, allowing agencies to achieve in hours what once took weeks or months.

According to Amazon, its investment also directly supports the priorities outlined in the Trump Administration’s AI Action Plan—such as accelerating AI adoption in government and investing in AI-enabled science—as well as boosting other advanced computing initiatives deployed on secure, U.S.-based AI and cloud infrastructure.

“Our investment in purpose-built government AI and cloud infrastructure will fundamentally transform how federal agencies leverage supercomputing,” said AWS CEO Matt Garman. “We’re giving agencies expanded access to advanced AI capabilities that will enable them to accelerate critical missions from cybersecurity to drug discovery.”

He added that the investment “removes the technology barriers that have held government back and further positions America to lead in the AI era.”

Amazon’s AI gambit

Amazon’s latest investment in U.S. computing and AI capacity is indicative of the company’s approach to the sector. The tech giant has poured huge resources into AI development over the past couple of years.

In March 2024 it announced the conclusion of a $4 billion investment in Anthropic, the developer behind the Claude generative AI models. By May it was revealed that this spending was already paying off, as the e-commerce giant recorded over $140 billion in first-quarter revenue, hitting its largest quarterly operating profit.

In July of this year, AWS doubled down on its own AI research, investing a further $100 million in the ‘AWS Generative AI Innovation Center’ launched in 2023.

On its latest investment, AWS said “Amazon’s investment underscores the strategic importance of AI and supercomputing in maintaining technological superiority, safeguarding critical infrastructure, and driving industrial innovation.”

In order for artificial intelligence (AI) to work right within the law and thrive in the face of growing challenges, it needs to integrate an enterprise blockchain system that ensures data input quality and ownership—allowing it to keep data safe while also guaranteeing the immutability of data. Check out CoinGeek’s coverage on this emerging tech to learn more why Enterprise blockchain will be the backbone of AI.

Watch: AI Is a Must-Have for Businesses — Gabby Roxas & Rudy Guiao Jr. Explain Why

frameborder=”0″ allow=”accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share” referrerpolicy=”strict-origin-when-cross-origin” allowfullscreen>

Source: https://coingeek.com/amazon-to-invest-50b-in-us-ai-supercomputing-expansion/

Market Opportunity
null Logo
null Price(null)
--
----
USD
null (null) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact service@support.mexc.com for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

X to cut off InfoFi crypto projects from accessing its API

X to cut off InfoFi crypto projects from accessing its API

X, the most widely used app for crypto projects, is changing its API access policy. InfoFi projects, which proliferated non-organic bot content, will be cut off
Share
Cryptopolitan2026/01/16 02:50
X Just Killed Kaito and InfoFi Crypto, Several Tokens Crash

X Just Killed Kaito and InfoFi Crypto, Several Tokens Crash

The post X Just Killed Kaito and InfoFi Crypto, Several Tokens Crash appeared on BitcoinEthereumNews.com. X has revoked API access for apps that reward users for
Share
BitcoinEthereumNews2026/01/16 03:42
Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Google's AP2 protocol has been released. Does encrypted AI still have a chance?

Following the MCP and A2A protocols, the AI Agent market has seen another blockbuster arrival: the Agent Payments Protocol (AP2), developed by Google. This will clearly further enhance AI Agents' autonomous multi-tasking capabilities, but the unfortunate reality is that it has little to do with web3AI. Let's take a closer look: What problem does AP2 solve? Simply put, the MCP protocol is like a universal hook, enabling AI agents to connect to various external tools and data sources; A2A is a team collaboration communication protocol that allows multiple AI agents to cooperate with each other to complete complex tasks; AP2 completes the last piece of the puzzle - payment capability. In other words, MCP opens up connectivity, A2A promotes collaboration efficiency, and AP2 achieves value exchange. The arrival of AP2 truly injects "soul" into the autonomous collaboration and task execution of Multi-Agents. Imagine AI Agents connecting Qunar, Meituan, and Didi to complete the booking of flights, hotels, and car rentals, but then getting stuck at the point of "self-payment." What's the point of all that multitasking? So, remember this: AP2 is an extension of MCP+A2A, solving the last mile problem of AI Agent automated execution. What are the technical highlights of AP2? The core innovation of AP2 is the Mandates mechanism, which is divided into real-time authorization mode and delegated authorization mode. Real-time authorization is easy to understand. The AI Agent finds the product and shows it to you. The operation can only be performed after the user signs. Delegated authorization requires the user to set rules in advance, such as only buying the iPhone 17 when the price drops to 5,000. The AI Agent monitors the trigger conditions and executes automatically. The implementation logic is cryptographically signed using Verifiable Credentials (VCs). Users can set complex commission conditions, including price ranges, time limits, and payment method priorities, forming a tamper-proof digital contract. Once signed, the AI Agent executes according to the conditions, with VCs ensuring auditability and security at every step. Of particular note is the "A2A x402" extension, a technical component developed by Google specifically for crypto payments, developed in collaboration with Coinbase and the Ethereum Foundation. This extension enables AI Agents to seamlessly process stablecoins, ETH, and other blockchain assets, supporting native payment scenarios within the Web3 ecosystem. What kind of imagination space can AP2 bring? After analyzing the technical principles, do you think that's it? Yes, in fact, the AP2 is boring when it is disassembled alone. Its real charm lies in connecting and opening up the "MCP+A2A+AP2" technology stack, completely opening up the complete link of AI Agent's autonomous analysis+execution+payment. From now on, AI Agents can open up many application scenarios. For example, AI Agents for stock investment and financial management can help us monitor the market 24/7 and conduct independent transactions. Enterprise procurement AI Agents can automatically replenish and renew without human intervention. AP2's complementary payment capabilities will further expand the penetration of the Agent-to-Agent economy into more scenarios. Google obviously understands that after the technical framework is established, the ecological implementation must be relied upon, so it has brought in more than 60 partners to develop it, almost covering the entire payment and business ecosystem. Interestingly, it also involves major Crypto players such as Ethereum, Coinbase, MetaMask, and Sui. Combined with the current trend of currency and stock integration, the imagination space has been doubled. Is web3 AI really dead? Not entirely. Google's AP2 looks complete, but it only achieves technical compatibility with Crypto payments. It can only be regarded as an extension of the traditional authorization framework and belongs to the category of automated execution. There is a "paradigm" difference between it and the autonomous asset management pursued by pure Crypto native solutions. The Crypto-native solutions under exploration are taking the "decentralized custody + on-chain verification" route, including AI Agent autonomous asset management, AI Agent autonomous transactions (DeFAI), AI Agent digital identity and on-chain reputation system (ERC-8004...), AI Agent on-chain governance DAO framework, AI Agent NPC and digital avatars, and many other interesting and fun directions. Ultimately, once users get used to AI Agent payments in traditional fields, their acceptance of AI Agents autonomously owning digital assets will also increase. And for those scenarios that AP2 cannot reach, such as anonymous transactions, censorship-resistant payments, and decentralized asset management, there will always be a time for crypto-native solutions to show their strength? The two are more likely to be complementary rather than competitive, but to be honest, the key technological advancements behind AI Agents currently all come from web2AI, and web3AI still needs to keep up the good work!
Share
PANews2025/09/18 07:00