SIGNAL IDUNA built Co SI, a knowledge assistant built with Gemini, Vertex AI, and Document AI that finds answers across 2,000+ documents in seconds, reducing search time by 30% + case escalation rates from 27% to 3%. Learn more from Johannes Rath, COO of SIGNAL IDUNA Gruppe ↓
Google Cloud
Software Development
Mountain View, California 3,026,019 followers
Welcome to the new way to cloud.
About us
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
- Website
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https://cloud.google.com/
External link for Google Cloud
- Industry
- Software Development
- Company size
- 10,001+ employees
- Headquarters
- Mountain View, California
Updates
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VP & GM of AI & Infrastructure at Google Cloud, Amin Vahdat, shows off Ironwood, our seventh-generation TPU—from inside one of Google’s labs. Ironwood is purpose-built for the most demanding workloads—from large-scale model training and complex reinforcement learning (RL) to high-volume, low-latency AI inference and model serving. Learn more about our seventh-generation TPU → https://goo.gle/4osYw0o
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We commissioned a new study from Ipsos on how to close the skills gap in a tech landscape that's moving faster than ever. Here is what we found ⬇️ In our global survey of decision-makers, tech professionals, and students, a clear narrative emerged: they shared a vision of what the future of AI learning should look like (read: make it expert-led, centralized and all in one place) and how learning works best (hint: personalize it for max relevance—and make it fun). This research informs every facet of our new platform, Google Skills. Google Skills your new home for learning all things AI. Read more about the research and the business imperative to get teams learning in the best way possible, a.k.a try Google Skills today → https://goo.gle/3LqPh25
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Ready to truly transform productivity across your entire organisation? ✨ Join our exclusive livestream and uncover how the new #GeminiEnterprise will revolutionise your business in Asia Pacific. We'll show you how our #agenticAI platform effortlessly connects information, automates complex workflows, and unlocks new efficiencies for every team. Don't miss out on reshaping your future! Tune in and learn more ⬇️
Gemini Enterprise: APAC in Focus
www.linkedin.com
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Announcing Axion C4A metal—Axion VMs for specialized direct hardware use cases! C4A metal is our first Axion bare metal instance leveraging custom Arm-based CPUs for specialized workloads, such as Android development, automotive in-car systems, software with strict licensing requirements, and scale test farms, or running complex simulations. Learn more about getting bare metal access without compromising on choice, cost, or security → https://goo.gle/3LwIJPm
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Join Mark Lohmeyer, VP/GM of AI and Computing Infrastructure at Google Cloud, for an introduction to the next generation of AI infrastructure, co-designed to meet the challenges of the age of inference: the Ironwood TPU platform and new Axion Arm-based processors. Learn more about Ironwood and Axion—a powerful combination for AI and everyday computing → https://goo.gle/4or7B9H
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Tensor Processing Units (TPUs) are powering the most demanding AI workloads on the ground, and a key element of our new 'moonshot' that's actually aiming for the Sun. Read the latest edition of 'Transformation Today' to learn about the infrastructure you can use in the coming weeks and the research that might power the world decades from now ↓
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As machine learning models continue to scale, a specialized, co-designed hardware and software stack is no longer optional—𝙞𝙩’𝙨 𝙘𝙧𝙞𝙩𝙞𝙘𝙖𝙡. Check out this deep dive into Ironwood TPU’s co-designed AI stack → https://goo.gle/47HGmAN This blog outlines the core components of Google's AI software stack that are woven into Ironwood, demonstrating how this deep co-design unlocks performance, efficiency, and scale. We cover the JAX and PyTorch ecosystems, the XLA compiler, and the high-level frameworks that make this power accessible.
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Exciting news for your AI infrastructure: 🚀 Ironwood TPUs: Purpose-built for high-performance inference with 10x performance over TPU v5p and >4x over TPU v6e. ⚡ New Axion VMs - N4A & C4A metal: Redefining price-performance for the general-purpose workloads. Learn all about our new compute → https://goo.gle/4oCosq8
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What’s the difference between talking about innovation and actually achieving it? A clear plan. Our new guide lays out the 3-step journey from data bottleneck to innovation engine—all made possible by chatting with your data: 1. Democratize data without compromising on governance 2. Free your analysts to focus on high-impact, strategic work 3. Shift from reactive reporting to proactive innovation Empower your entire organization to get trusted, real-time answers from your data with Conversational Analytics. Download our guide and turn your data into your biggest advantage → https://goo.gle/4oo3ZoC