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Infrastructure
The latest Infrastructure news, analysed daily by the i10X newsroom.
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Agentic AI: From Chatbots to Autonomous Agents
The AI industry is shifting from chatbots to autonomous agents that reason, select tools, and handle multi-step tasks with minimal oversight. Explore how OpenAI, Google, and others are building the infrastructure, plus the governance challenges for enterprises and developers.
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Model Context Protocol (MCP): The New AI Infrastructure
The Model Context Protocol (MCP) is standardizing how AI agents connect to live data and enterprise systems. See…
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AI Agents: Enterprise Shift from Chatbots to Autonomy
Enterprise AI is evolving from chatbots to autonomous agents that plan, reason, and use tools. Learn how AWS,…
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AI Model Routing Platforms: Hyperscalers vs Startups
The AI race now centers on routing layers as enterprises adopt unified model platforms. Compare Azure, Google, OpenRouter…
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Live Avatars: Real-Time AI Faces and Infrastructure Demands
Live Avatars move from async video to live streaming endpoints via Gemini 3.8 and 14B diffusion models. Discover…
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Google Accelerates Gemini 4 Release Amid AI Competition
Google plans to launch Gemini 4 in late 2024 ahead of schedule, fueled by strong early results and rival pressure. Discover the infrastructure edge and what…
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Project Astra: From Demos to Real AI Development Workflows
Project Astra moves beyond polished demos into agents that integrate into actual workflows. Learn how it competes with GPT-4o on latency and context, plus the integration,…
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Real-Time Voice AI Stress-Tests Mobile Edge Computing
OpenAI Advanced Voice Mode and Google Gemini Live are pushing mobile networks and edge infrastructure to their limits. Discover the under-reported challenges for travelers and hardware.
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GPT-6 Astra Myth: Project Astra vs GPT-4o Race
The viral ‘GPT-6 Astra’ search stems from confusion between Google’s Project Astra and OpenAI’s GPT-4o. Discover the real shift to real-time multimodal AI agents and infrastructure…
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Gemini Nano 4: Hardware-Gated AI Arrives on Android
Google mandates Gemini Nano 3 for core AI features while rolling out Nano 4 on Pixel 11. Discover the impact on developers, OEMs, and on-device inference.…
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Gemini 3.5 Transcribe: Enterprise Speech-to-Text from Google
Explore Gemini 3.5 Transcribe, Google’s new speech-to-text model with 2.6% WER, streaming support, and Vertex AI security for regulated industries. Learn more.
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How Hyperscalers Are Becoming Sovereign AI Factories
Hyperscalers like AWS, Azure, Google Cloud, and Meta are shifting to custom AI chips and gigawatt-scale infrastructure. Discover the physical and economic changes driving AI deployment.…
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AI Data Center Boom Fuels Skilled Trades Labor Shortage
The AI infrastructure surge is creating massive demand for electricians, HVAC techs, and carpenters, turning physical labor into the new bottleneck for scaling models. Discover how…
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AI Chip Race: Custom Silicon for LLMs and Performance-per-Watt
Explore how the shift to model-tailored AI chips is redefining compute for massive LLMs. Learn why custom silicon, memory interconnects, and co-design now matter more than…
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Kimi AI: Moonshot’s Long-Context LLM Efficiency Edge
Moonshot AI’s Kimi pushes 2M+ token context windows with compute-efficient performance on restricted hardware. See how it challenges Gemini and Claude while reshaping enterprise LLM economics.…
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Google AI Overviews: Reshaping Search, Publishers and Compute
Google’s AI Overviews are shifting search from link lists to synthesized answers. Discover the effects on digital publishers, SEO, competitors, and infrastructure demands. Explore the guide.
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AI Agent Simulation Infrastructure: Training Autonomous Systems
Discover how Meta, NVIDIA, and Google are investing in simulated worlds to train AI agents. Learn about the shift to dynamic environments and the need for…