Perplexity Portable Computer Is Now Available on Windows, Powered by NVIDIA RTX

<div id="bsf_rt_marker"></div><p><span style="font-weight: 400;">As local models become more capable, AI agents can handle more work directly on a PC while keeping sensitive information on the device.</span></p> <p><a target="_blank" href="https://www.perplexity.ai/hub/blog/introducing-portable-computer-for-local-first-ai"><span style="font-weight: 400;">Portable Computer</span></a><span style="font-weight: 400;"> is a local version of the agent Perplexity Computer that plans and carries out multistep tasks. Accelerated by NVIDIA GPUs, it uses local models to analyze data, bring together information across files and handle recurring work. Sensitive information stays on device, and locally completed work doesn’t consume Perplexity Computer credits. Users can also orchestrate work up to cloud models for more advanced research and reasoning.</span></p> <p><span style="font-weight: 400;">Today, </span><a target="_blank" href="https://enterprise.perplexity.ai/computer/a/2dd84802-0605-4059-9d45-87c46225d62e"><span style="font-weight: 400;">Perplexity</span></a><span style="font-weight: 400;"> is adding <a target="_blank" href="https://www.perplexity.ai/hub/blog/portable-computer-for-windows-is-here">Portable Computer in the Perplexity app for Windows</a> on compatible NVIDIA </span><a target="_blank" href="https://www.nvidia.com/en-us/ai-on-rtx/"><span style="font-weight: 400;">GeForce RTX PCs</span></a><span style="font-weight: 400;"> and </span><a target="_blank" href="https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/"><span style="font-weight: 400;">NVIDIA RTX PRO Workstations</span></a><span style="font-weight: 400;">, bringing powerful agentic AI to more Windows PC users. The release builds on existing support for </span><a href="https://blogs.nvidia.com/blog/local-ai-ifa-next-gen-agents-nv-pair-rtx-spark/"><span style="font-weight: 400;">NVIDIA DGX Spark systems and RTX PCs running Linux</span></a><span style="font-weight: 400;">.</span></p> <h2><b>Local Agents Powered by NVIDIA RTX</b></h2> <p><span style="font-weight: 400;">Perplexity brings local and cloud AI together in one app, letting users work with sensitive files on their PCs and take advantage of Computer’s built-in tools such as the built-in browser and proprietary SPACE sandbox.</span></p> <p><span style="font-weight: 400;">For tasks that call for more advanced reasoning, Portable Computer can also identify when a task needs cloud support, asking the user for permission before sending information off-device.</span></p> <p><span style="font-weight: 400;">The app simplifies setup with a local model, such as Qwen 3.8 27B, that is post-trained to work with Perplexity Computer and optimized for NVIDIA RTX GPUs. Users can put the agent to work without having to research models or configure the complex software stack typically required to run local AI.</span></p> <p><span style="font-weight: 400;">Connectors for Microsoft Outlook, OneDrive, Word, Google Drive, Gmail, Slack and GitHub extend that experience across the files and apps already part of users’ daily workflows.</span></p> <p><span style="font-weight: 400;">For example, the agent can help with:</span></p> <ul> <li><b>Engineering: </b><span style="font-weight: 400;">Review open pull requests in a connected GitHub project, organize them by status and identify next steps. Computer can also flag outdated documentation and submit proposed updates for review.</span></li> <li><b>Finance:</b><span style="font-weight: 400;"> Point Computer at two years of brokerage summaries, consolidated 1099s and tax returns, and have it trace the recurring holdings creating the most avoidable fees and tax drag, with every figure cited to the exact file and page — all without a document ever reaching a chatbot.</span></li> <li><b>Startups: </b><span style="font-weight: 400;">Ask Computer why activation went flat, and the agent analyzes the funnel export locally to find where new signups drop off between install and first completed task, then posts the top insights straight to the team’s Slack channel.</span></li> </ul> <h2><b>Try Portable Computer on Windows PCs Today</b></h2> <p><span style="font-weight: 400;">Portable Computer is available for NVIDIA </span><a target="_blank" href="https://www.nvidia.com/en-us/ai-on-rtx/"><span style="font-weight: 400;">GeForce RTX</span></a><span style="font-weight: 400;"> and </span><a target="_blank" href="https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/"><span style="font-weight: 400;">RTX PRO GPUs</span></a><span style="font-weight: 400;"> with 24GB or more of VRAM.</span> <a target="_blank" href="https://www.nvidia.com/en-us/products/workstations/dgx-station/"><span style="font-weight: 400;">NVIDIA DGX Station</span></a><span style="font-weight: 400;"> support is expected to come soon. </span></p> <p><i><span style="font-weight: 400;">Try</span></i><a target="_blank" href="https://www.perplexity.ai/hub/products/portable-computer"> <i><span style="font-weight: 400;">Perplexity Portable Computer</span></i></a><i><span style="font-weight: 400;"> today.</span></i></p> <h2><b>#ICYMI: The Latest Updates From NVIDIA Local AI</b></h2> <p><b><img src="https://s.w.org/images/core/emoji/17.0.2/72x72/1f9e0.png" alt="🧠" class="wp-smiley" style="height: 1em; max-height: 1em;" />Z.ai’s </b><a target="_blank" href="https://z.ai/blog/glm-5.3-flash"><b>GLM 5.3 Flash</b></a><span style="font-weight: 400;"> provides impressive performance and visual intelligence at low cost, optimized for DGX Station and dual DGX Spark systems.</span></p> <p><b><img src="https://s.w.org/images/core/emoji/17.0.2/72x72/1f40b.png" alt="🐋" class="wp-smiley" style="height: 1em; max-height: 1em;" />DeepSeek-v4.1 Flash</b><span style="font-weight: 400;"> significantly reduces key-value cache memory demands and operating costs for complex AI agent workloads, delivering remarkable intelligence per dollar.</span></p> <p><b><img src="https://s.w.org/images/core/emoji/17.0.2/72x72/26a1.png" alt="⚡" class="wp-smiley" style="height: 1em; max-height: 1em;" />Qwen</b><span style="font-weight: 400;"> has released </span><a target="_blank" href="https://qwen.ai/blog?id=qwen3.8-flash-next"><span style="font-weight: 400;">Qwen3.8-Flash-Next</span></a><span style="font-weight: 400;">, an open-weight multimodal mixture-of-experts model, and an early preview of Qwen4, which can run locally on a single DGX Spark with NVFP4 and punches well above its weight.</span></p> <p><b><img src="https://s.w.org/images/core/emoji/17.0.2/72x72/1f47e.png" alt="👾" class="wp-smiley" style="height: 1em; max-height: 1em;" />GLM 5.3</b><span style="font-weight: 400;"> is Z.ai’s 744-billion-parameter flagship model, tuned for agent sessions that run for hours on DGX Station and a cluster of four DGX Spark systems. </span></p> <p><i><span style="font-weight: 400;">Follow NVIDIA RTX Spark on </span></i><a target="_blank" href="https://x.com/NVIDIARTXSpark"><i><span style="font-weight: 400;">X</span></i></a><i><span style="font-weight: 400;">, </span></i><a target="_blank" href="https://www.instagram.com/nvidiartxspark/"><i><span style="font-weight: 400;">Instagram</span></i></a><i><span style="font-weight: 400;">, </span></i><a target="_blank" href="https://www.tiktok.com/@nvidiartxspark"><i><span style="font-weight: 400;">TikTok</span></i></a><i><span style="font-weight: 400;"> and </span></i><a target="_blank" href="https://www.facebook.com/NVIDIARTXSpark"><i><span style="font-weight: 400;">Facebook</span></i></a><i><span style="font-weight: 400;"> — and stay informed by subscribing to the </span></i><a target="_blank" href="https://www.nvidia.com/en-us/ai-on-rtx/?modal=subscribe-ai"><i><span style="font-weight: 400;">NVIDIA Local AI newsletter</span></i></a><i><span style="font-weight: 400;">. 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