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Google named a Leader in the 2026 IDC MarketScape for Agentic AI Platforms (opens in a new tab)

As organizations work to leverage AI to transform their businesses, it is clear that the raw model intelligence is not the key challenge. Consistently, we hear that the challenges lie in how the agents can be deployed across the company while meeting key requirements for quality…

Read at Google Cloud (official) (opens in a new tab)
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RTX Spark Ignites Global Celebration as New Windows PCs Arrive (opens in a new tab)

NVIDIA RTX Spark laptops are now available, bringing NVIDIA Blackwell RTX graphics, up to 128GB of unified memory and the full NVIDIA AI platform to slim, premium Windows PCs. Starting at $2,399, laptops from ASUS, Dell, HP, Lenovo, Microsoft and MSI bring powerful local AI, con…

Read at NVIDIA (opens in a new tab)
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Published

Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore (opens in a new tab)

Autonomous AI agents fail softly: latency stays flat while answer quality quietly erodes. This post shares a nine-stage evaluation framework, built on Amazon Bedrock AgentCore, that catches silent quality regressions across the full agent lifecycle, from first commit to live pro…

Read at AWS Machine Learning (opens in a new tab)
Image: Google Cloud (official)
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Day 0 support for Reflection’s Beam on Google Cloud: 5x faster perf with llm-d and NVIDIA Dynamo (opens in a new tab)

Today, Reflection released Beam, its first open-weight model built to give developers, researchers, and enterprises open control and customization for frontier software engineering and long-horizon agentic tasks. Released under a permissive Apache 2.0 license with BF16, FP8, and…

Read at Google Cloud (official) (opens in a new tab)
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Introducing Reflection Beam: an open-weight model for agentic coding on AWS (opens in a new tab)

Reflection AI's Beam is an open-weight model for agentic coding and long-horizon tasks. This post shows how to deploy Beam on AWS: start with an Amazon SageMaker JumpStart real-time endpoint, or use Amazon SageMaker HyperPod Inference with JumpStart, SGLang, or vLLM for Kubernet…

Read at AWS Machine Learning (opens in a new tab)
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