AI Coding Live News

Perplexity Portable Computer hits Windows: local agents on 24GB+ NVIDIA RTX with MCP and scheduled tasks

Perplexity says Portable Computer is now available on Windows PCs with NVIDIA RTX GPUs: run the harness, agents, and models locally, work with local files and apps, and fall back to frontier cloud models when needed. On-device work does not consume Computer credits; follow-ups add local MCP and scheduled tasks, and NVIDIA confirms 24GB+ VRAM.

Key Takeaways

  • Portable Computer now runs on Windows with NVIDIA RTX for local harness/agents/models.
  • On-device work skips Computer credits; cloud frontier models remain optional.
  • Adds local MCP and scheduled tasks; NVIDIA lists GeForce/RTX PRO 24GB+ VRAM.
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Perplexity Portable Computer lands on Linux for NVIDIA RTX GPUs with 24GB+ VRAM

Perplexity (@perplexity_ai) says Portable Computer is now available on Linux for NVIDIA RTX GPUs with 24GB of VRAM or higher. It is a local-first AI assistant stack: orchestrator and subagent models can run privately on-device, with optional cloud escalation. After the earlier DGX Spark launch, this extends local deployment to consumer/workstation RTX cards.

Key Takeaways

  • Linux build needs NVIDIA RTX with 24GB+ VRAM.
  • Local-first: orchestrator LLM, subagent LLM, and agent harness can run on-device.
  • Complements the DGX Spark edition and lowers the bar for high-VRAM RTX workstations.
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Perplexity Launches Portable Computer: Local-First Autonomous Agent Stack on NVIDIA DGX Spark

Perplexity introduced Portable Computer on NVIDIA DGX Spark, providing a fully local-first agent stack powered by on-device PPLX 27B where private documents never leave the machine by default.

Key Takeaways

  • Commercializes local-first agents: private documents stay on-device unless explicitly approved for cloud calls;
  • Lightweight harness custom-engineered for 27B models with compact CLI connectors and on-device sandboxing;
  • Hybrid escalation allows optional pay-per-task cloud frontier calls (~$0.42) lifting Terminal Bench to 73.0%.
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