AI hardware

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Apple’s M5 Ultra With an 80-Core GPU Will Power Through Your AI Models and 8K Video

  • August 25, 2026
  • AI News
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Apple announced the M5 Ultra on 25 August 2026 alongside a new Mac Studio: an up-to-80-core GPU with a Neural Accelerator in every core, up to 512GB of unified memory at 1.2TB/s, a 32-core Neural Engine and a media engine rated for 33 simultaneous streams of 8K ProRes 422. This breakdown separates the peak-theoretical claims from the measured workload figures, works out what 512GB actually buys you when you run large models locally, checks the 8K video claim against a real timeline, lists the prices and ship dates, and sets out the questions Apple did not answer.

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openai jalapeno inference chip benchmarks a chili pepper with stem

OpenAI Says Its Jalapeño Chip Can Power Faster AI Responses Than the Competition

At the Hot Chips conference on 25 August 2026, OpenAI published the first benchmark results for Jalapeño, the custom inference chip it built with Broadcom. On SemiAnalysis’s InferenceX benchmark, OpenAI reported 1.5x to 1.9x more work per watt and 1.7x to 3.6x lower end-to-end latency than an Nvidia Blackwell system, rising to 4.1x faster on highly interactive workloads. Here are the numbers, the architecture behind them, what OpenAI still has not disclosed, and what it means for anyone buying AI capacity.

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OpenAI Developing Screenless Smart Speaker as AI Companion

OpenAI Developing Screenless Smart Speaker as AI Companion

OpenAI developing screenless smart speaker marks one of the most intriguing developments in the evolution of artificial intelligence hardware. While AI assistants have traditionally relied on smartphones, computers, and smart displays, OpenAI appears to be exploring a new category of voice-first devices designed to function as intelligent companions without the distraction of a screen. This […]

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Why Performance per Watt Is the Ultimate Metric for AI Infrastructure Efficiency

Why Performance per Watt Is the Ultimate Metric for AI Infrastructure Efficiency

Performance per Watt has rapidly become one of the most important benchmarks for evaluating modern artificial intelligence infrastructure. As AI models continue to grow in size and complexity, organizations are no longer focused solely on raw computing power. Instead, they are increasingly measuring how efficiently hardware converts electrical energy into useful computational work. Whether deploying […]

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