How Evaluation-Driven Development (EDD) Works
Turn every AI agent change into a measured experiment you compare before and after to detect regressions and measure performance. The scariest AI failures are the silent ones. You ship…
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NVIDIA Vera CPU Boosts AI Factory Throughput to Accelerate Agentic Workloads
Agentic systems turn model reasoning into action through multi-step workflows that combine inference, tool use, code execution, retrieval, orchestration, and result handling. As these systems scale across the AI factory,…
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From Hugging Face to Amazon SageMaker Studio in one click
Today, we’re excited to announce a deep-link integration between Hugging Face and Amazon SageMaker AI. Developers can now go from model discovery to hands-on experimentation in SageMaker Studio with a…
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Single-Controller Distributed Training on ROCm – PyTorch
Featured projects Training state-of-the-art large language models (LLMs) with billions of parameters requires distributed training across hundreds or thousands of GPUs. At this scale, hardware failures are not exceptional events—they…
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What’s new in TensorFlow 2.20 — The TensorFlow Blog
August 19, 2025 — Posted by the TensorFlow teamTensorFlow 2.20 has been released! For ongoing updates related to the multi-backend Keras, please note that all news and releases, starting with…
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Modular: Qualcomm to Acquire Modular
💡 Modular’s AI-Native Platform to Advance Qualcomm’s Evolution as a Developer-First, AI Solutions Company Delivering Generative and Agentic AI from Edge to Cloud ➡️ Creation of an Industry-Friendly Open Software…
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Automatic Upgrades: best practice features for your lakehouse tables
Your Unity Catalog (UC) managed tables now get better on their own. Automatic (Auto) Upgrades is the first capability of its kind in any lakehouse. It automatically verifies your clients…
