Perplexity

Personal Computer is now available to all users in a new Perplexity Mac app. Personal Computer is an advanced version of Perplexity Computer. It operates on any Mac, running tasks across your local files, native Mac apps, the web, and Perplexity’s secure servers.

Build dashboards and automations from your Snowflake data for pipeline analysis, product usage, customer segments, and more. Admins maintain control over access, business definitions, and shared data logic across the organization. Learn more: perplexity.ai/hub/blog/compu…

Computer now connects to Snowflake. Run end-to-end work against live warehouse data and get answers with SQL, source tables, filters, and metrics. It’s like a personal data science team, on call with accurate answers from live company data.

External content is scanned in parallel by ML classifiers and the BrowseSafe model before agents act on it. File connector data is encrypted in transit and at rest, uploaded files automatically delete after 7 days, and more. Read more on the blog: perplexity.ai/hub/blog/how-w…

Computer is secure by default. Every task runs in its own hardware-isolated sandbox with VPC-level storage and compute separation. Agents are authenticated with short-lived proxy tokens instead of raw API keys.

PayPal runs 74,000 weekly tasks in Perplexity Enterprise. Teams use it for model validation, channel performance, market trend research, competitive intelligence, and product analysis. Read the customer story: perplexity.ai/enterprise/cus…

This NVIDIA remains the strongest platform for large-model inference at scale. Prefill/decode disaggregation, Blackwell-native quantization, custom kernels, and rack-scale NVLink turn GB200 into faster answers lower serving cost. Read the full paper here [research.perplexity.ai/articles/hosti…]

The benchmarks show the gap. NVLS all-reduce latency drops from 586.1µs on H200 to 313.3µs on GB200. In MoE prefill at EP=4, combine falls from 730.1µs to 438.5µs. For decode, GB200 sustains much higher throughput at high token speeds.

We published new research on how we serve post-trained Qwen3 235B models on NVIDIA GB200 NVL72 Blackwell racks. GB200 is a major step up over Hopper for high-throughput inference on large MoE models, not just a training platform.

Zen of Python: Special cases aren't special enough to break the rules. Zen of Skills: Gotchas ARE the special cases (they're the highest-value content).

Zen of Python: If the implementation is easy to explain, it may be a good idea. Zen of Skills: If it's easy to explain, the model already knows it. Delete.

We've published our internal manual for building agent skills. Skills require a new way of thinking for developers. research.perplexity.ai/articles/desig…

Download the new Perplexity Mac app to get Personal Computer: perplexity.ai/personal-compu… We'll deprecate the old Perplexity Mac app in the coming weeks.

Personal Computer is built for the Mac ecosystem, so you can manage it from anywhere. Start tasks from your iPhone with local files on your Mac. Add a Mac mini for full continuity and always-on agents. Manage agentic actions wherever you are.

Personal Computer is now available to all users in a new Perplexity Mac app. Personal Computer is an advanced version of Perplexity Computer. It operates on any Mac, running tasks across your local files, native Mac apps, the web, and Perplexity’s secure servers.

Read the full post on our research blog. research.perplexity.ai/articles/cuted…

We’ve developed our own inference engine Runtime-Optimized Serving Engine (ROSE) to serve models ranging from embeddings to trillion-parameter LLMs. With CuTeDSL integrated into our inference engine, Perplexity can build the specialized GPU kernels faster to bring models up to peak performance on NVIDIA Hopper and Blackwell GPUs.

Finance Search supports questions that use live market data: prices, fundamentals, earnings, filings, and market context. Agents can run valuation lookups, earnings recaps, and market monitors without separate data provider integrations. Read more here: perplexity.ai/hub/blog/intro…

@PPLXfinance @PPLXDevs On FinSearchComp T1, Finance Search delivered the highest accuracy for live financial data and the lowest cost per correct answer in the cohort. Every result includes citations, so financial agents can be current, accurate, and easy to verify.

Finance Search is now available in the Perplexity Agent API. In one tool call, developers can now retrieve licensed financial datasets, real-time market data, and cited web sources for agents that need current, verifiable financial answers.