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  3. heise online

    Amazon to invest 16 billion euros in Germany next year for cloud and AI

    Amazon plans to invest more than 16 billion euros in Germany next year, of which about 4.8 billion euros will go toward expanding AWS cloud and AI infrastructure around Frankfurt, with the remainder directed to logistics modernization and Prime Video original content. In logistics, more than 3,000 new jobs have currently been added; upgrades in Bad Hersfeld, Dortmund and Werne will be completed next year, and a new center in Könnern is under construction; the investment also involves the satellite internet project Amazon Leo.

    Amazon plans to invest more than 16 billion euros in Germany next year, of which about 4.8 billion euros will go toward expanding AWS cloud and AI infrastructure around Frankfurt, with the remainder directed to logistics modernization and Prime Video original content. In logistics, more than 3,000 new jobs have currently been added; upgrades in Bad Hersfeld, Dortmund and Werne will be completed next year, and a new center in Könnern is under construction; the investment also involves the satelli

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  5. SiliconANGLE

    AuxoAI Raises Over $20 Million Series A to Bring AI Expertise to Enterprises

    Enterprise engineering and consulting firm AuxoAI announced it has closed a $20.7 million Series A funding round led by NTT Venture Capital to accelerate growth and expand its enterprise AI consulting model. Its core platform, Damia, is a toolkit for "forward-deployed engineers" that turns enterprise data into applications and encodes business process knowledge into AI agents capable of long-term collaboration. The company has worked with Global 2000 enterprises for more than three years and has partnerships with platforms including Google, AWS, Snowflake, Databricks and Microsoft.

    n Series A funding round led by NTT Venture Capital to accelerate growth and expand its enterprise AI consulting model. Its core platform, Damia, is a toolkit for "forward-deployed engineers" that turns enterprise data into applications and encodes business process knowledge into AI agents capable of long-term collaboration. The company has worked with Global 2000 enterprises for more than three years and has partnerships with platforms including Google, AWS, Snowflake, Databricks and Microsoft.

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  9. AWS Machine Learning

    How vLLM's bidirectional KV transfer improves TTFT for multi-turn agent workloads

    vLLM adds bidirectional KV transfer, allowing decode nodes to send already-computed KV caches back to prefill nodes in subsequent turns, avoiding recomputation of conversation history. On a 1P1D deployment on Amazon EC2 P5en, this mechanism improves TTFT by up to 1.6x for Qwen3-32B and up to 3.3x for zai-org/GLM-5-FP8. This capability was initially validated on AWS Trainium clusters and contributed to vLLM; as an accelerator-agnostic feature, it requires coordination with a KV-cache-aware router for cross-turn reuse.

    Flow diagram contrasting the standard prefill-to-decode KV path (blue) with the bi-directional additions numbered one through six (red)

    l KV transfer, allowing decode nodes to send already-computed KV caches back to prefill nodes in subsequent turns, avoiding recomputation of conversation history. On a 1P1D deployment on Amazon EC2 P5en, this mechanism improves TTFT by up to 1.6x for Qwen3-32B and up to 3.3x for zai-org/GLM-5-FP8. This capability was initially validated on AWS Trainium clusters and contributed to vLLM; as an accelerator-agnostic feature, it requires coordination with a KV-cache-aware router for cross-turn reuse.

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  12. Fortune Tech

    Morgan Stanley says Nvidia will depend on AI infrastructure spending for 91.7% of its 2027 revenue

    A report released by Morgan Stanley on October 15 estimates that 91.7% of Nvidia's 2027 revenue will come from AI infrastructure demand, the highest share among the companies it covers, above Vertiv's 90% and Broadcom's 81%. The report projects that hyperscale cloud providers and AI cloud service providers will spend $1.58 trillion in 2027, with nearly $700 billion flowing to Nvidia, while SpaceX and AWS together account for about 54% of Nvidia's hyperscale customer revenue. The report also lists risks: 2027 will see the largest cash flow gap in the forecast period, U.S. data centers will face a 32-gigawatt power shortfall by 2028, and data center restrictions have also become a midterm election issue.

    oadcom's 81%. The report projects that hyperscale cloud providers and AI cloud service providers will spend $1.58 trillion in 2027, with nearly $700 billion flowing to Nvidia, while SpaceX and AWS together account for about 54% of Nvidia's hyperscale customer revenue. The report also lists risks: 2027 will see the largest cash flow gap in the forecast period, U.S. data centers will face a 32-gigawatt power shortfall by 2028, and data center restrictions have also become a midterm election issue.

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