AI NewsPerplexity

Perplexity brought its Portable Computer agent to Windows, running entirely on-device on NVIDIA RTX GPUs with at least 24GB of VRAM, for multistep tasks that never touch the cloud.
Perplexity launched Portable Computer for Windows on September 14, running its agent and model locally on NVIDIA RTX GPUs with at least 24GB of VRAM. It handles multistep tasks across apps like Outlook, Gmail, and GitHub without sending data to the cloud.
Local work skips Perplexity Computer credits entirely. The 24GB VRAM requirement rules out most laptops, but it's a real step toward agentic AI that keeps sensitive files off someone else's servers.
Key Capabilities:

• Fully local: Model, planner, and scheduler all run on-device — no cloud credits used.
• App connectors: Works across Outlook, Gmail, GitHub, and other connected apps for real tasks.
• High bar to entry: Requires an NVIDIA RTX or RTX PRO GPU with 24GB+ VRAM.

 A new hybrid compute system starts research in the cloud, then shifts private work to local AI.
Perplexity launched hybrid compute for its Mac app, starting complex research in the cloud before shifting sensitive file work to local Apple Silicon models for full privacy. A built-in Privacy Gate scans for personal info on-device, offering local processing, masking, or user approval when needed.
Perplexity also open-sourced Lily, their fast local inference engine optimized for models like Qwen3.6 on M-series chips. This lets iPhone prompts route securely to a Mac without using cloud credits for local steps.
Key Capabilities:

• Privacy Gate: Automatically scans for personal information on-device before deciding how to handle it.
• Open-Source Engine: Lily is now open-sourced, built specifically for local AI inference on Apple Silicon.
• Hybrid Routing: Starts research in the cloud, then shifts sensitive tasks to local processing automatically.