Ollama apple silicon. This Ollama выпустила обновлен...
Ollama apple silicon. This Ollama выпустила обновление, которое ускоряет локальный запуск ИИ-моделей на Mac с Apple silicon за счёт MLX, собственного фреймворка Apple для машинного обучения. Moins de latence, plus d'efficacité : le futur de l'intelligence artificielle est local ! Ars Technica报道，Ollama现已支持Apple的MLX框架，在Apple Silicon Mac上运行本地大语言模型的速度大幅提升。这得益于MLX对统一内存架构的优化利用，避免了传统框架的内存拷 Ollama agora usa MLX da Apple para melhorar o desempenho de IA local em Macs com Apple Silicon. 19预览版，以苹果机器学习框架MLX重建Apple Silicon上的推理引擎，适配M5/M5 Pro/M5 Max芯片并调用GPU神经网 Ollama kini didukung MLX di Apple Silicon, memberikan akselerasi kinerja signifikan. Installez-la sur votre Mac Apple Silicon. This change unlocks much faster performance to accelerate Running local models on Macs gets faster with Ollama’s MLX support Apple Silicon Macs get a performance boost thanks to better unified memory usage. 19 is a must-have update for any Apple Silicon user who relies on local AI. Ollama ist eine App, mit der Ihr KI-Modelle direkt lokal auf Eurem Rechner ausführen könnt. speed matters because slow L'aggiornamento di Ollama porta benefici importanti sui Mac con Apple Silicon Ollama MLX Apple Silicon preview is here with Ollama 0. Whether you are using it to power a local coding assistant, testing Local models are gradually moving out of their niche, and Ollama is keen to seize this moment. Cosa cambia per gli utenti. 3x-4x speedups for time-to-first-token Apple’s unified The MLX Runner is a specialized execution backend for Apple Silicon that leverages the MLX framework to run large language models efficiently on Apple's unified memory architecture. Mejora el rendimiento de agentes de código y asistentes personales. By incorporating support for Apple’s MLX framework, Ollama is establishing new benchmarks for efficiently running large language models on Macs. Nikmati kecepatan lebih tinggi untuk asisten pribadi dan agen coding. 2 GPU-Beschleunigung — automatische NVIDIA CUDA und Apple Silicon Metal Unterstützung OpenAI 币界网消息，据 1M AI News 监测，Ollama 发布 0. It now leverages Apple's MLX framework to significantly boost performance on Apple silicon devices. 속도 자랑보다 먼저 볼 설치·빌드·기대치 체크리스트를 담았습니다. The result is a hefty Ollama is now updated to run the fastest on Apple silicon, powered by MLX, Apple's machine learning framework. This development is especially noteworthy for Ollama MLX Update Supercharges Mac Performance Ollama has received a major performance upgrade for Mac users, and many are asking what changed and why it matters. 安装 Ollama 执行以下 ChainThink 消息，2026年3月31日，据1M AI News监测，Ollama发布0. Desfrute de aceleração em tarefas como assistentes pessoais e agentes de codificação, com suporte NVFP4 方案一：Ollama 一键部署（推荐） Ollama 是专为本地大模型设计的轻量级部署工具，支持一键拉取、运行多种开源大模型，对 Apple Silicon 芯片做了深度优化。 1. 文章浏览阅读13次。未来，Ollama将支持更多模型，引入更简单方法导入自定义模型，扩展支持架构列表。在M5等芯片上，加速首词响应和生成速度。未来支持更多模型和架构，有望在本 Höchste Leistung auf Apple-Silizium, powered by MLX Ollama auf Apple-Silizium basiert jetzt auf Apples Machine-Learning-Framework MLX, um die Vorteile seiner einheitlichen Speicherarchitektur zu Ollama integra MLX su Apple Silicon: più velocità, meno latenza e inferenza locale più efficiente. 19 preview delivers 57% faster prefill and 93% faster decode on Apple Silicon through MLX integration, with M5 achieving 3. 19 المدعوم بـ MLX. Local speed gains News emerged in early 2025 that Ollama was developing support for MLX, an open source machine learning framework Apple introduced in 2023 to run models efficiently 実測値（MacBook Pro 16GB / Apple Silicon / CPU推論）: qwen3:8b（7Bモデル）で 約1分 かかりました。 「低レイテンシ」という謳い文句は、十分なGPUがある環境での話です。 triton — uses the triton implementation metal — uses the metal implementation on Apple Silicon only ollama — uses the Ollama /api/generate まず、このポストの肝 正直、これはけっこう大きい話だと思う。 今回のOllamaのポストが言っているのは、Apple Silicon向けのOllamaが、Appleの機械学習フレームワークMLXを土台にしたプレ Kalavai - Crowdsource end to end LLM deployment at any scale llmaz - ☸️ Easy, advanced inference platform for large language models on . Mit der neuen Version bindet die Software nun Apples maschinelles Lernframework MLX ein, Ollama 0. Ollama, the increasingly popular framework for running large language models locally, is now leveraging Apple’s machine learning framework, MLX, delivering a noticeable speed boost on Pour remédier à cela, Ollama a lancé une version bêta (Ollama 0. 19 Ollama is a tool that runs large language models locally on your computer. The platform, already recognized for running large language models locally, has just On macOS ARM64 (Apple Silicon), after a fresh install of Ollama v0. Ollama, the popular app for running AI models locally on a computer, has released an update that takes advantage of Apple's own machine learning framework, MLX. Turn your Apple Silicon devi - Install with clawhub install apple Local AI models now run faster on Ollama on Apple silicon Macs. Ollama على Apple Silicon يصل لـ 1,810 رمز/ثانية مع الإصدار 0. Ollama 0. every message my agent sends passes through a local qwen model to summarise context before it overflows. 바로 Ollama가 Apple Silicon에서 MLX 프레임워크 기반으로 구동되는 프리뷰 버전을 공개했다는 Ollama agora utiliza MLX para oferecer o máximo desempenho em dispositivos Apple Silicon. دعم NVFP4 وتخزين مؤقت ذكي لأسرع تجربة ذكاء اصطناعي محلي على macOS. Get 1,810 tokens/s prefill speed, NVFP4 support, and smarter caching for coding agents on macOS. 数多くのAIモデルをローカル環境で実行できるツール「Ollama」が、Appleの機械学習フレームワークであるMLXを基盤としてAppleシリコンに最適化した 최근 로컬 LLM 실행 환경에 관심이 있다면 주목할 만한 소식이 나왔습니다. Ollama ahora funciona con MLX en Apple Silicon, ofreciendo mayor velocidad para tareas de IA en macOS. Veja ganhos, requisitos e como funciona. Bottom Line & Recommendation Ollama v0. 19 預覽版接入 Apple MLX 框架，大幅提升 Mac 本地 AI 模型運行速度。支援 M5 晶片加速與 32GB 記憶體需求，打造更快、更私密的 on-device AI 體驗。 MacBook Neo上で動かしているローカルエージェンティックAI「mazzaineo」に、新しい機能を2つ追加しました。1つはブラウザだけで操作を完結させるためのWebターミナル、もう1つ OllamaがApple Silicon向けにMLXを搭載。高速化を実現し、OpenClawやコーディングエージェントのパフォーマンスが向上。NVFP4サポートも。 文章浏览阅读4次。本文介绍了如何在星图GPU平台上自动化部署【ollama】Phi-3-mini-4k-instruct镜像，实现高效本地文本生成。该轻量级大语言模型特别适合处理日常任务如邮件撰写、文 Ollama على Apple Silicon يصل لـ 1,810 رمز/ثانية مع الإصدار 0. 19 sur le site officiel. 19 在 Mac 上部署 OpenClaw + Ollama，打造私有本地 AI Agent。按内存选模型、Apple Silicon 性能实测、ClashX 混合路由，15 分钟上手。 I run ollama on a Mac Mini for local compression. 19) de son application, désormais construite sur le framework d’apprentissage automatique d’Apple, MLX, pour tirer parti de Ollama is now powered by MLX on Apple Silicon in preview Ollama on Apple silicon is now built on top of Apple’s machine learning framework, MLX, to take advantage of its unified memory architecture. The result is a hefty Machine learning researchers using Ollama will enjoy a speed boost to LLM processing, as the open-source tool now uses MLX on Apple Silicon to fully take advantage of unified memory. 19) de su aplicación que «ahora está construida sobre el marco de aprendizaje automático de Apple, Ollama 是一款廣受歡迎的應用程式，用於在電腦上本地運行 AI 模型。最近，Ollama 發佈了一項更新，充分利用了 Apple 自家的機器學習框架 MLX。這項更新為配備 Apple silicon 晶片的 Ollama 是一款廣受歡迎的應用程式，用於在電腦上本地運行 AI 模型。最近，Ollama 發佈了一項更新，充分利用了 Apple 自家的機器學習框架 MLX。這項更新為配備 Apple silicon 晶片的 Apple Silicon AI — run LLMs, image generation, speech-to-text, and embeddings on Mac Studio, Mac Mini, MacBook Pro, and Mac Pro. Ollama on Apple silicon is now built on top of Apple’s machine learning framework, MLX, to take advantage of its unified memory architecture. Ollama is now powered by MLX on Apple Silicon in preview Hacker News • March 30, 2026 at 8:40 PM Tuesday, March 31, 2026 • Ollama adopts MLX for faster AI performance on Apple Ollama nutzt Apples MLX und wird auf Apple Silicon Macs deutlich schneller. 19 在 Mac 上部署 OpenClaw + Ollama，打造私有本地 AI Agent。按内存选模型、Apple Silicon 性能实测、ClashX 混合路由，15 分钟上手。 ローカル環境での大規模言語モデル（LLM）実行を支援するプラットフォーム「Ollama」は、Appleのオープンソース機械学習フレームワーク「MLX」へのネイティブ対応を特徴とするバージョン0. This Ollama v0. If you’re not familiar with Ollama, this is a Mac, Linux, and Windows app that lets users run AI models locally on their computers. This Ollama 0. Today, we're previewing the fastest way to run Ollama on Apple silicon, powered by MLX, Apple's machine learning framework. 0 via Homebrew, any attempt to pull a model fails immediately with the error: Error: pull model manifest: ssh: no key Ollama intègre le framework MLX d'Apple pour booster l'IA sur Mac. Téléchargez la version preview d’Ollama 0. 對於廣大的 Mac 開發者與本地端 AI 玩家來說，這可是近期很讓令人開心振奮的消息，知名開源本地 AI 執行工具 Ollama 近日在 X (原 Twitter) 上發布了一則熱門推文，宣佈在最新釋出的 Local AI models now run faster on Ollama on Apple silicon Macs If you’re not familiar with Ollama, this is a Mac, Linux, and Windows app that lets users run AI models locally on their Ollama 宣布在预览版中接入苹果机器学习框架 MLX，让 Apple Silicon 设备上的本地模型运行更快、更贴近系统底层能力，对 Mac 端本地 AI 开发者和工具链是直接利好。 Ollama 宣布在预览版中接入苹果机器学习框架 MLX，让 Apple Silicon 设备上的本地模型运行更快、更贴近系统底层能力，对 Mac 端本地 AI 开发者和工具链是直接利好。 Apple Silicon + MLX + Ollamaというエコシステムは、もはや単なる代替案ではなく、2026年Q1におけるAIインフラのデファクトスタンダードです。 機密を守りつつ、最高峰の知能を Ollama MLX支持深度解析：Apple Silicon如何成为AI开发新主力平台 开头 上周，我在配置本地AI开发环境时遇到了一个棘手的问题：我的MacBook Pro M2芯片上运行AI模型太慢了，每次推 Ollama 宣布在 Apple Silicon 上切换到 MLX 推理引擎。这篇文章分析 MLX 框架的设计优势、M5 Neural Accelerators 硬件协同、性能基准测试（decode vs prefill）、推理生态现状以及当前局 A recent update to Ollama, now leveraging Apple’s MLX framework and Nvidia’s NVFP4 compression, is dramatically accelerating large language model (LLM) performance on Apple Silicon Ollama's integration with Apple's MLX framework promises enhanced performance and efficiency for coding and AI tasks on Apple Silicon. Ollama update brings faster local AI models to Apple Silicon Macs using MLX, improving speed, memory efficiency, and performance for developers. Ollama와 MLX가 Apple Silicon에서 어떤 의미인지 2026년 기준으로 정리합니다. The upgrade significantly improves Ollama v0. Lancez vos modèles préférés (Llama, Mistral, Gemma, Phi, etc. Machine learning researchers using Ollama will enjoy a speed boost to LLM processing, as the open-source tool now uses MLX on Apple Silicon to fully take advantage of unified memory. 19. This results in a large speedup of Ollama on all Apple Ollama 宣布在预览版中接入苹果机器学习框架 MLX，让 Apple Silicon 设备上的本地模型运行更快、更贴近系统底层能力，对 Mac 端本地 AI 开发者和工具链是直接利好。 ローカル環境での大規模言語モデル（LLM）実行を支援するプラットフォーム「Ollama」は、Appleのオープンソース機械学習フレームワーク「MLX」へのネイティブ対応を特徴とするバージョン0. ) comme d’habitude. 19 预览版，以苹果机器学习框架 MLX 重建了 Apple Silicon 上的推理引擎，利用统一内存架构提升性能，并在 M5/M5 Pro/M5 Max 芯片上调用 GPU 神经 Machine learning researchers using Ollama will enjoy a speed boost to LLM processing, as the open-source tool now uses MLX on Apple Silicon to fully take advantage of unified memory. Höchste Leistung auf Apple-Silizium, powered by MLX Ollama auf Apple-Silizium basiert jetzt auf Apples Machine-Learning-Framework MLX, um die Vorteile seiner einheitlichen Speicherarchitektur zu Ollama integra MLX su Apple Silicon: più velocità, meno latenza e inferenza locale più efficiente. Local AI models now run faster on Ollama on Apple silicon Macs If you’re not familiar with Ollama, this is a Mac, Linux, and Windows app that lets users run AI models locally on their Running local models on Macs gets faster with Ollama’s MLX support Apple Silicon Macs get a performance boost thanks to better unified memory usage. 19がApple SiliconでのバックエンドをMLXに切り替え、プリフィル1810トークン/秒・デコード112トークン/秒を達成。NVFP4 Ollama has integrated Apple’s MLX framework to optimize AI model execution on devices powered by Apple silicon chips, including M1, M2, and newer processors. Anyone Para intentar contrarrestar esto, Ollama ha publicó una versión preliminar (Ollama 0. Lokale KI profitiert besonders von M5-Chips. The Mit Ollama erhalten Sie: Downloads mit einem Befehl — ollama pull llama3. ada nfag koxi xzei ogveaxg
