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Practical implementation considerations to close the AI value gap
ISC Stormcast For Wednesday, November 26th, 2025 https://isc.sans.edu/podcastdetail/9716
Amazon SageMaker AI introduces EAGLE based adaptive speculative decoding to accelerate generative AI inference
Sundar Pichai on Google AI: Release Notes podcast episode

Amazon SageMaker AI introduces EAGLE based adaptive speculative decoding to accelerate generative AI inference

Generative AI models continue to expand in scale and capability, increasing the demand for faster and more efficient inference. Applications need low latency and consistent performance without compromising output quality. Amazon SageMaker AI introduces new enhancements to its inference optimization toolkit that bring EAGLE based adaptive speculative decoding to more model architectures. These updates make…

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3 things to know about Ironwood, Google’s latest TPU

By acting as a hugely efficient parallel processor, Ironwood excels at managing massive calculations and significantly minimizes the internal time required for data to shuttle across the chip. This breakthrough dramatically speeds up complex AI, making models run significantly faster and smoother across our cloud. And now, Ironwood is here for Cloud customers. Here are…

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Introducing bidirectional streaming for real-time inference on Amazon SageMaker AI

In 2025, generative AI has evolved from text generation to multi-modal use cases ranging from audio transcription and translation to voice agents that require real-time data streaming. Today’s applications demand something more: continuous, real-time dialogue between users and models—the ability for data to flow both ways, simultaneously, over a single persistent connection. Imagine a speech…

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