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Tuesday

  5. Data Center Knowledge

    Why Enterprises Choose Colocation Data Centers to Host AI and Hybrid Cloud

    Enterprises are increasingly placing AI inference computing in colocation data centers, because modern colocation facilities support 35 kW air-cooled racks and 70-150 kW liquid-cooled racks, at higher densities than most traditional enterprise data centers. The Foundry 2026 Cloud Survey shows that 74% of enterprises accelerated cloud migration last year, while VMware reports that 83% of enterprises have completed or plan to migrate workloads back from public cloud, shifting to hybrid cloud plus colocation or on-premises deployment models.

    Enterprises are increasingly placing AI inference computing in colocation data centers, because modern colocation facilities support 35 kW air-cooled racks and 70-150 kW liquid-cooled racks, at higher densities than most traditional enterprise data centers. The Foundry 2026 Cloud Survey shows that 74% of enterprises accelerated cloud migration last year, while VMware reports that 83% of enterprises have completed or plan to migrate workloads back from public cloud, shifting to hybrid cloud plus

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    #hot-signal#Industry news#English text is being prepared.#English text is being prepared.

Monday

  1. ElevenLabs Blog

    What are agentic workflows? A practical guide to automation

    Agentic workflows let AI agents reason at each step and decide the next action themselves, rather than executing along a fixed script. They consist of an LLM reasoning layer combined with RAG, memory, and guardrails; high-risk steps still go through fixed approvals, and anything beyond their authority is escalated to a human. ElevenLabs' ElevenAgents Workflows editor can explicitly map decision points, routing between specialized sub-agents or human agents.

    What are agentic workflows and how do they work image. Agentic workflow cycles through interpreting, retrieving, deciding, adapting, and executing a billing dispute.

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    #company#Tutorials / practice#Agents#RAG

Sunday

Saturday

Friday

  1. Tongyi Qianwen / QwenSelected

    Alibaba Qwen Releases Omni-Modal Model Qwen3.8-Omni-Flash

    Alibaba Qwen has released Qwen3.8-Omni-Flash, its first omni-modal model built around agent capabilities, with native support for audio-visual understanding, reasoning, and tool calling. The company says its audio-visual capabilities are close to Gemini 3.8 Flash, with agent performance improving by an average of 19.5 points on WildClawBench-MM and UniClawBench; it supports a 1M token context and uses 51.8% fewer tokens than static understanding on OmniVideoBench. Video input costs are about 89% lower than Qwen3.5-Omni-Plus, while Qwen-MM-Plugins is being open-sourced and Qwen-Live Harness is coming soon.

    Alibaba Qwen has released Qwen3.8-Omni-Flash, its first omni-modal model built around agent capabilities, with native support for audio-visual understanding, reasoning, and tool calling. The company says its audio-visual capabilities are close to Gemini 3.8 Flash, with agent performance improving by an average of 19.5 points on WildClawBench-MM and UniClawBench; it supports a 1M token context and uses 51.8% fewer tokens than static understanding on OmniVideoBench. Video input costs are about 89%

    Matched fieldsSummary

    #company#Model releases#Multimodal#Agents

Thursday