# Perplexity — AI news & analysis

Perplexity builds an AI-native answer engine that competes with traditional search.

- [Perplexity brings local AI agent to Windows RTX PCs](https://www.parallelquant.com/posts/perplexity-brings-local-ai-agent-to-windows-rtx-pcs-54f916) (2026-09-15, Tom's Hardware): Perplexity and Nvidia released 'Portable Computer' for Windows on September 14, a local-first AI agent that can perform multistep tasks. It requires GeForce RTX or RTX PRO GPUs with at least 24GB of VRAM.
- [Perplexity gives OpenAI's GPT-6 Astra control of production systems](https://www.parallelquant.com/posts/perplexity-gives-openai-s-gpt-6-astra-control-of-production-systems-7ecbc6) (2026-09-14, OpenAI): Perplexity is using OpenAI's GPT-6 Astra model to write communications, modify software, and monitor its production systems. The company reportedly checks in on the model's work far less often than it did with earlier AI models.
- [Perplexity details the GPU infrastructure behind its search embeddings](https://www.parallelquant.com/posts/perplexity-details-the-gpu-infrastructure-behind-its-search-embeddings-746ab1) (2026-09-06, MarkTechPost): Perplexity's engineering team published a technical account of the serving infrastructure behind its pplx-embed model, covering the GPU stack (internally named Ivy, Tulip, and ROSE) used to run embedding and ranking models at scale. The post focuses on keeping large-scale embedding inference fast and cheap.
- [Nvidia's PAIR spreads local AI compute across home devices](https://www.parallelquant.com/posts/nvidia-s-pair-spreads-local-ai-compute-across-home-devices-b58b73) (2026-09-04, The Decoder): Nvidia's Personal AI Router (PAIR) automatically distributes local AI requests across every available device on a home network. Nvidia says this cuts wait times for parallel agent tasks.
- [Perplexity open-sources Lily, a fast local inference engine for Apple Silicon](https://www.parallelquant.com/posts/perplexity-open-sources-lily-a-fast-local-inference-engine-for-apple-sil-4d2ec4) (2026-09-03, MarkTechPost): Perplexity open-sourced Lily, a Rust-based inference engine with custom Metal kernels built specifically to run the Qwen3.6-35B-A3B model on Apple Silicon. In testing on a 40-core, 128GB Apple M5 Max chip, it reached roughly 1.23x the prefill throughput and 1.35x the decode throughput of MLX-LM.

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