Latest news with #Agent2Agent
Business Wire
20-05-2025
- Business
- Business Wire
Red Hat and Google Cloud Extend Alliance to Drive Open and Agentic AI for the Enterprise
BOSTON – RED HAT SUMMIT--(BUSINESS WIRE)--Red Hat, the world's leading provider of open source solutions, and Google Cloud today announced an expanded collaboration to advance AI for enterprise applications by uniting Red Hat's open source technologies with Google Cloud's purpose-built infrastructure and Google's family of open models, Gemma. Together, the companies will advance enterprise-grade use cases for scaling AI by: Launching the llm-d open source project with Google as a founding contributor Enabling support for vLLM on Google Cloud TPUs and GPU-based virtual machines (VMs) to enhance AI inference Delivering Day 0 support for vLLM on Gemma 3 model distributions Supporting Red Hat AI Inference Server on Google Cloud Propelling agentic AI with Red Hat as a community contributor for Google's Agent2Agent (A2A) protocol Bolstering AI inference with vLLM Demonstrating its commitment to Day 0 readiness, Red Hat is now an early tester for Google's family of open models, Gemma, starting with Gemma 3, delivering immediate support for vLLM. vLLM is an open source inference server that speeds the output of generative AI (gen AI) applications. As the leading commercial contributor to vLLM, Red Hat is driving a more cost-efficient and responsive platform for gen AI applications. Additionally, Google Cloud TPUs, the high-performance AI accelerators powering Google's AI portfolio, are now fully enabled on vLLM. This integration empowers developers to maximize resources while achieving the performance and efficiency crucial for fast and accurate inference. Recognizing the shift from AI research to real-world deployment, many organizations face the complexities of a diverse AI ecosystem and the need to shift to more distributed compute strategies. To address this, Red Hat has launched the llm -d open source project, with Google as a founding contributor. Building on the momentum of the vLLM community, this initiative pioneers a new era of gen AI inference. The goal is to enable greater scalability across heterogeneous resources, optimize costs and enhance workload efficiency – all while fostering continued innovation. Driving enterprise AI with community-powered innovation Bringing the latest upstream community advancements to the enterprise, Red Hat AI Inference Server is now available on Google Cloud. As Red Hat's enterprise distribution of vLLM, Red Hat AI Inference Server helps enterprises optimize model inference across their entire hybrid cloud environment. By leveraging the robust and trusted infrastructure of Google Cloud, enterprises can deploy production-ready gen AI models that are both highly responsive and cost-efficient at scale. Underscoring their joint commitment to open AI, Red Hat is also now contributing to Google's Agent2Agent (A2A) protocol – an application-level protocol facilitating more seamless communication between end-users or agents across diverse platforms and cloud environments. By actively participating in the A2A ecosystem, Red Hat aims to help users unlock new avenues for rapid innovation, ensuring AI workflows remain dynamic and highly effective through the power of agentic AI. Red Hat Summit Join the Red Hat Summit keynotes to hear the latest from Red Hat executives, customers and partners: Modernized infrastructure meets enterprise-ready AI — Tuesday, May 20, 8-10 a.m. EDT (YouTube) Hybrid cloud evolves to deliver enterprise innovation — Wednesday, May 21, 8-9:30 a.m. EDT (YouTube) Supporting Quotes Brian Stevens, senior vice president and Chief Technology Officer – AI, Red Hat "With this extended collaboration, Red Hat and Google Cloud are committed to driving groundbreaking AI innovations with our combined expertise and platforms. Bringing the power of vLLM and Red Hat open source technologies to Google Cloud and Google's Gemma equips developers with the resources they need to build more accurate, high-performing AI solutions, powered by optimized inference capabilities.' Mark Lohmeyer, vice president and general manager, AI and Computing Infrastructure, Google Cloud 'The deepening of our collaboration with Red Hat is driven by our shared commitment to foster open innovation and bring the full potential of AI to our customers. As we enter a new age of AI inference, together we are paving the way for organizations to more effectively scale AI inference and enable agentic AI with the necessary cost-efficiency and high performance.' Additional Resources Learn more about Red Hat Summit See all of Red Hat's announcements this week in the Red Hat Summit newsroom Follow @RedHatSummit or #RHSummit on X for event-specific updates Connect with Red Hat About Red Hat Red Hat is the open hybrid cloud technology leader, delivering a trusted, consistent and comprehensive foundation for transformative IT innovation and AI applications. Its portfolio of cloud, developer, AI, Linux, automation and application platform technologies enables any application, anywhere—from the datacenter to the edge. As the world's leading provider of enterprise open source software solutions, Red Hat invests in open ecosystems and communities to solve tomorrow's IT challenges. Collaborating with partners and customers, Red Hat helps them build, connect, automate, secure and manage their IT environments, supported by consulting services and award-winning training and certification offerings. About Google Cloud Google Cloud is the new way to the cloud, providing AI, infrastructure, developer, data, security, and collaboration tools built for today and tomorrow. Google Cloud offers a powerful, fully integrated and optimized AI stack with its own planet-scale infrastructure, custom-built chips, generative AI models and development platform, as well as AI-powered applications, to help organizations transform. Customers in more than 200 countries and territories turn to Google Cloud as their trusted technology partner. Forward-Looking Statements Except for the historical information and discussions contained herein, statements contained in this press release may constitute forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are based on the company's current assumptions regarding future business and financial performance. These statements involve a number of risks, uncertainties and other factors that could cause actual results to differ materially. Any forward-looking statement in this press release speaks only as of the date on which it is made. Except as required by law, the company assumes no obligation to update or revise any forward-looking statements. Red Hat and the Red Hat logo are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the U.S. and other countries.
Yahoo
09-05-2025
- Business
- Yahoo
Microsoft commits to Google's interoperability protocol for AI agents
This story was originally published on CIO Dive. To receive daily news and insights, subscribe to our free daily CIO Dive newsletter. Microsoft aligned with a broad industry push for shared agent protocols by announcing its commitment to Google's Agent2Agent interoperability standards Wednesday. 'As agents take on more sophisticated roles, they need access not only to diverse models and tools but also to one another,' Microsoft said in a blog post. 'The best agents won't live in one app or cloud; they'll operate in the flow of work, spanning models, domains and ecosystems.' Microsoft said the Agent2Agent public preview in Foundry and Copilot Studio 'will arrive soon.' Enterprise customers will be able to build multiagent workflows that span partner tools and production infrastructure in Azure AI Foundry, as well as invoke external agents with Copilot Studio. Microsoft is joining more than 50 technology partners and providers, including Salesforce, Oracle and SAP, in supporting the open standard created by Google. 'This is just one step on a longer journey,' Microsoft said in the Wednesday blog post. The cloud giant has also teamed up with the A2A working group on GitHub, a Microsoft subsidiary, and plans to contribute to the spec and tooling. Standards that boost interoperability and ease AI adoption have gained traction among technology providers. 'We see vendors starting to embrace emerging open standards in hopes of accelerating adoption and scaling of their AI agent tools,' Jason Wong, distinguished VP analyst at Gartner, said in an email to CIO Dive. Agent2Agent and Model Context Protocol are two of the most common standards that vendors are beginning to adopt, he added. Customers can benefit from interoperability, too. 'Enterprises are eager for interoperability that A2A and MCP promise because they have heterogeneous environments that will have many agents,' Wong said. 'But security, performance and agent pricing models are the wild card factors in proving out the technology.' Last year, big tech firms rallied around an open-standard AI infrastructure alliance developed to ease data center interconnectivity. Tech providers also banded together last May in hopes of nailing down AI risk thresholds and safety frameworks. More recently, the tech industry backed data provenance standards as AI adds urgency to get data practices on the right track. This kind of unity isn't omnipresent, however. Tensions have flared among the three largest hyperscalers, AWS, Microsoft and Google. Google accused Microsoft of stifling market competition last year in a complaint filed with the European Commission. 'The downside of standards going away or changing is definitely something that IT leaders are wary of,' Wong said. Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
11-04-2025
- Business
- Forbes
This Week In AI: Walmart Sets Fashion Trends Before They Ever Happen
AI is transforming the worlds of fashion and retail. Welcome to my first installment of this new series. The rationale behind it is simple. AI is evolving so rapidly—and with such seismic effects on business and society—keeping up is no longer optional. In that spirit, here are some of the top stories and why they matter to you. The Story: It's Monday morning. As an AI-powered recruiter you work smarter, not harder. You log into your company's dashboard on your phone. It tells you three critical roles have been sourced, vetted, and scheduled for interviews—all without a single direction from you. What happened? First your AI agent reviewed your client's needs. Next, another AI agent culled candidates off LinkedIn using live market data. Yet another AI agent background-checked those candidates, clearing the top picks. Importantly, none of these agents were built by the same company. In the past this would be a problem. They wouldn't be able to 'talk' to each other. Not anymore—enter Agent2Agent (A2A), Google's new open protocol. Why It Matters: A2A gives AI agents a shared language. Suddenly, bots can communicate and collaborate across platforms like never before. Welcome to the Internet for AI workers. AI agents from Salesforce, PayPal, SAP, and 50+ others can now sidestep the old Tower of Babel problem. To put it another way: They now speak the same operational tongue. Moving forward, agents won't just automate tasks within their own spheres. They will form multi-agent swarms much like The Avengers, solving complex, cross-platform problems in real time. Just don't let them drop the Infinity Stones into the wrong hands. The Story: What if future fashion could be predicted with AI oracle abilities? Here's how it will work. A major clothing label like Sonoma decides it cannot waste any more money as clothes linger for ages on packed racks. After all, weeks—if not months or even years—can elapse between the moment a fashion influencer drops a viral video and the time it takes to get product(s) to stores. By then a fashion trend will have died—and with it—revenue. This is the problem Walmart's new AI tool, Trend-to-Product solves. It compresses design and development timelines. Now instead of waiting for fashion trends or even chasing them, the massive retailer is setting them, combining fast-fashion alacrity with data-driven precision. If we accept the premise AI now knows our tastes better than we do, it's all about giving customers what they want—before they even know they want it. Why It Matters: Again, Walmart's Trend-to-Product AI Tool works proactively. How? It scours social media, search trends, and purchasing data to act as a modern fashionista Cassandra. Its crystal ball discerns patterns to predict what styles will blow up—then guides the requisite design, sourcing, and inventory decisions in double time. Years ago, Walmart adapted and revolutionized Just-In-Time (JIT) delivery for retail, making them a global logistics powerhouse. Now, they're evolving again to speed up conversion rates. Their AI tool portends a next level shift in retail agility. Clothing manufacturers can now glimpse into the future, enabling unprecedented go-to-market nimbleness. Imagine cutting your timetable from six months to six weeks. It mitigates the risk of overproduction and unsold inventory—long the albatross around so many retailers' necks. More, it enables hyper-responsiveness to consumer behavior, enabling businesses to capitalize on fashion's fickleness with minimal lag. Where will predictive analytics go next? My money's on entertainment. What if prescient AI could suggest the next big movie based on scouring the zeitgeist for a wave before it crests? The Story: Everyone knows government moves at glacial speed. That's why no one at the Department of Transportation expected their backlog of infrastructure grant applications to get through review without it taking months. And months. That was until a newly appointed Chief AI Officer took the reins. We'll call him Chuck. In the name of efficiency, Chuck rolled out an AI protocol that slashed review times by 80%. Suddenly, applications were flying by, getting stamped good-to-go or unapproved in weeks, if not days. Meanwhile, across town, the Department of Health and Human Services had its own systemic problems. Medicaid fraud patterns continue to proliferate, escaping the notice of human workers doing their best to spot such trickery. That was until a newly appointed Chief AI Officer took the reins. We'll call her Becky. Becky directed AI's powers of pattern detection to super use, detecting scams and cons that once evaded human notice. Why It Matters: Fictional for now, these breakthroughs aren't isolated—they're part of a sweeping White House directive. Every federal agency must now have a Chief AI Officer. Meant to modernize government operations and cut red tape, it reminds me of another story I published this week on how the corporate sector is also using AI to go on the compliance offensive: Overwhelmed By Compliance? AI Could Save Your Business. Now that government is busy unlocking the kind of efficiency private industry is also tackling, it's important to ask the question: how long until the public starts to demand AI leaders over human politicians? That's not as farfetched as you might think. Last year Eric Schmidt, Henry Kissinger and Craig Mundie published Genesis: Artificial Intelligence, Hope, and the Human Spirit, examining how AI will empowers humanity to address its monumental challenges in novel ways. The authors wonder when people will abdicate more authority to AI as it becomes increasingly intertwined in every aspect of life. 'Today's human leaders should prepare to be the first in a line of human sovereigns to face the struggle of locating a balance between leveraging the advantages—and, in some cases, the need—for AI in governance without going so far as to succumb to total dependency, instead finding the proper synthesis between the extremes of despotism and anarchy, merging the will of humans, the knowledge of machines, and the wisdom of history.' Caution is still needed. While AI's ability to fix government inefficiencies is impressive, we must be cautious not to over-rely on it. More, we need to ensure its ethical deployment. We don't want a situation where generations from now, citizens cannot recall a time where AI wasn't running everything. ***** That's it for this week. Tune in next for the latest developments. In the meantime, here's to making us all smarter in the Intelligence Age.
Yahoo
10-04-2025
- Business
- Yahoo
Google mobilizes partners to drive agentic AI across clouds
This story was originally published on CIO Dive. To receive daily news and insights, subscribe to our free daily CIO Dive newsletter. Google Cloud launched an open interoperability protocol designed to ease AI agent orchestration across enterprise platforms Wednesday at its Google Cloud Next conference. The initiative, called Agent2Agent, has buy-in from more than 50 enterprise technology providers, including IT services firms Accenture, Deloitte and KPMG, the hyperscaler said in the announcement. Accenture, Deloitte and KPMG expanded their respective partnerships with Google Cloud for the development and deployment of agentic AI tools. 'This is our largest investment yet with Google Cloud,' Jason Salzetti, Deloitte Consulting chair and CEO, said in an announcement. 'Clients are getting flooded with information about agents, and while they are interested, they often don't know where to begin.' With agentic AI capabilities proliferating throughout the vendor ecosystem, Google Cloud also launched an AI agent marketplace within Google Cloud Marketplace Wednesday. The agent shop includes tools created by Accenture, Deloitte and VMware that can be deployed within the hyperscaler's Agentspace service, the company said. A pattern has emerged around generative AI adoption efforts: IT service firms are leveraging general purpose large language models trained on hyperscaler infrastructure to fashion enterprise-grade, ready-to-use AI tools tailored for specific tasks and industries. As Google and its public cloud competitors AWS and Microsoft invest tens of billions of dollars in data center hardware to run AI workloads, technology executives are looking to move beyond proofs of concept to scalable use cases that yield value. Agents that automate time-consuming administrative tasks, remove friction from customer-service operations and produce measurable efficiency gains represent a hopeful light at the end of the tunnel for enterprises seeking tangible returns on AI investments. Vendors are eager to turn enterprise AI hopes into practical solutions. Accenture tapped Google's Gemini model family to expand its agent customization toolkit and improve the performance of its GenWizard mainframe modernization platform. 'Today's announcement is part of a broader effort to provide a regular pipeline of innovations to help clients jumpstart adoption of Google Cloud technologies,' the company said in an announcement. Deloitte deployed a suite of more than 100 agentic AI tools as part of an expanded alliance with Google Cloud and ServiceNow. The agents target customer services, procurement, marketing, sales and human resources functions in the healthcare, consumer, financial services and public services sectors, the company said in an announcement. KMPG is focusing on creating tools for the banking industry with Google Cloud AI, according to a separate announcement. The company recently rolled out a commercial lending AI assistant and said it plans to leverage Agentspace internally as part of an enterprisewide AI adoption plan. Sign in to access your portfolio
Zawya
10-04-2025
- Business
- Zawya
Bybit supports the 2025 SuiHub-AUS Blockathon for UAE students
Bybit, the world's second-largest cryptocurrency exchange by trading volume, will be actively supporting the SuiHub-AUS program in launching the Blockathon 2025: AI for Decentralized Autonomy - a nationwide hackathon designed to empower students to lead the next wave of AI and blockchain innovation through Agent2Agent technologies. Additional ecosystem partners include Ghaf Capital. Applications are now open to all full-time university students across the UAE, offering a unique opportunity to explore how AI-powered Agent2Agent transactions can enable seamless, autonomous interactions within decentralized systems and real-world environments. The initiative features two expert-led workshops, technical mentoring, and culminates in a live pitch competition at Basecamp Dubai. Participants will gain hands-on experience in blockchain development, go-to-market strategies, and direct access to industry leaders and tools shaping the future of Web3. Teams will compete to build creative, original solutions. All registered participants will attend a series of workshops, with top shortlisted teams advancing to deliver final pitches at Sui Basecamp. Hackathon Schedule: April 11, 2025: Workshop 1 – Introduction to the Move Language April 16, 2025: Workshop 2 – Go-to-Market Strategy April 17, 2025: Hackathon Kick-off May 2, 2025: Final Demo Day (10:00 AM – 1:00 PM) Participants will benefit from: Internship opportunities at Bybit, SuiHub, and Ghaf Capital Mentorship and technical support Access to SuiHub blockchain tools and developer infrastructure Exposure to VC and startup ecosystems in the UAE 'Bybit is proud to stand at the intersection of education, innovation, and real-world application,' said Michelle D, UAE Country Manager at Bybit. 'We believe Blockathon 2025 is a powerful platform to empower young minds and accelerate the adoption of AI and blockchain across the UAE.' 'The 2025 Blockathon marks a pivotal step in preparing the next generation for the era of decentralized autonomy. In collaboration with SuiHub, and with Bybit and Ghaf Labs as exosystem partners, AUS is proud to create a launchpad where students gain hands-on experience in AI and blockchain innovation that truly matters,' commented Dr. Imran Zualkernan, Professor and Head of Computer Science and Engineering at the AUS.
