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Today we’re launching Portable Computer on @NVIDIA DGX Spark. Portable Computer is a fully local version of Perplexity Computer, where the entire runtime: orchestrator LLM, subagent LLM, agent harness all run on your local hardware. No cloud dependency.

1,231,575 次观看 • 1 个月前 •via X (Twitter)

37 条评论

Perplexity 的头像
Perplexity1 个月前

When a task needs frontier reasoning, the orchestrator asks for approval before routing it to a frontier model in the cloud. It's user-gated, PII-flagged, and text guidance only. Your sensitive documents stay on your device.

Perplexity 的头像
Perplexity1 个月前

Portable Computer runs a post-trained and locally installed PPLX 27B model. Qwen 3.8 27B is also available, with support for NVIDIA Nemotron 3.5 Lightning coming soon.

Perplexity 的头像
Perplexity1 个月前

Portable Computer is available today for all Perplexity Pro and Max subscribers with an @NVIDIA DGX Spark. Get started:

Teknium 🪽 的头像
Teknium 🪽1 个月前

@nvidia This app looks familiar 🫣

GREG ISENBERG 的头像
GREG ISENBERG1 个月前

@nvidia This is awesome. Going to try this on my DGX Spark this week. @AravSrinivas

AshutoshShrivastava 的头像
AshutoshShrivastava1 个月前

@nvidia Massive for Local AI

Creed Hardcastle 的头像
Creed Hardcastle1 个月前

@nvidia good shit perplexity coming back. too bad hardware for local ai is still so bad, cant really use qwen 27b for anything serious. we are all living in a bubble and 2-3 years early lol

Wall St Engine 的头像
Wall St Engine1 个月前

@nvidia 🔥

Dr. Parik Patel, BA, CFA, ACCA Esq. 的头像
Dr. Parik Patel, BA, CFA, ACCA Esq.1 个月前

@nvidia Wow

Jakub Sejkora 的头像
Jakub Sejkora1 个月前

@nvidia You guys are still alive? 🥹

A_dub 的头像
A_dub1 个月前

@nvidia Doesn’t look like access to the local machine is available remotely. I.e. you’d have to be on the Spark’s desktop to use it. Any plans to allow access on a MacBook or iPhone via the web and mobile apps?

Morgan 的头像
Morgan1 个月前

@nvidia This is a big deal, huge congrats to the whole team 🔥

Namilele 的头像
Namilele1 个月前

@nvidia I don't like this trend: "Fully local AI"... With a subscription.

Dmitri Lihhatsov 的头像
Dmitri Lihhatsov1 个月前

@nvidia It’s a pity this requires having a display attached to the DGX Spark. It would be awesome if I could use Perplexity Computer on my Mac while also having DGX Spark being available via Tailscale inside Perplexity Computer.

Vincent Weisser 的头像
Vincent Weisser1 个月前

@nvidia very cool work!!

Olly SB 的头像
Olly SB1 个月前

@nvidia @grok dumb it down for me - will it run on Apple Silicon? Or specially just a DGX Spark?

NotSamClemens 的头像
NotSamClemens1 个月前

@nvidia This is great. Could you guys also add the option for a local inference server on the Computer Mac App? Many people use the Spark as an inference server and don’t work on to directly (like me).

pol 的头像
pol1 个月前

@nvidia Will this eventually reach macOS as well?

Ali Naeini 的头像
Ali Naeini1 个月前

@nvidia I run local inference on a DGX Spark daily. The hardware is ready, the tooling isn’t. Open source this stack and Perplexity owns local AI overnight. Keep it closed and it’s just another demo.

Nathan Peterson 的头像
Nathan Peterson1 个月前

@nvidia Wow. And I actually have a DGX Spark. Pretty exciting!

Chief of Staff 的头像
Chief of Staff1 个月前

@nvidia Sick, gonna put this in a VM tho

Saif Malik 的头像
Saif Malik1 个月前

@nvidia Did not see Perplexity taking this leap. Interesting to see how the distribution for this would work!

Apple Lamps 的头像
Apple Lamps1 个月前

@nvidia I dreamed a dream in time gone by

Freddy Dopfel 的头像
Freddy Dopfel1 个月前

@nvidia The DGX Spark can run larger and more capable models than 27b-class. It would be great if perplexity computer would let us pick which model to run, and have support for larger models across multiple sparks (like Deepseek v4 Flash)

EdDiboi 的头像
EdDiboi1 个月前

@nvidia NICE

Frontiera Tech 的头像
Frontiera Tech1 个月前

The local-first design with gated cloud escalation is the part that actually matters for real agentic work. Keeping files and context on-device while still being able to pull frontier reasoning when needed feels like the pragmatic middle ground between pure cloud dependency and pure offline limits.

Raj Agam Singh Kalra 的头像
Raj Agam Singh Kalra1 个月前

@nvidia open source it so we can run it on our own dgx sparks, or any other hardware!

Caleb Baskin 的头像
Caleb Baskin1 个月前

@NVIDIARTXSpark @nvidia Rad. Can this end up on mac too?

iWyzer 的头像
iWyzer1 个月前

@NVIDIARTXSpark @nvidia @CardilloSamuel looks like cloudless? 👀

Ai With Piyas 的头像
Ai With Piyas1 个月前

@nvidia Nice move, Perplexity. Fully local agent on DGX Spark with optional cloud only when you approve it. Privacy + power done right.

Aadit Sheth 的头像
Aadit Sheth1 个月前

@nvidia Congrats team!

𝐖𝐄𝐍𝐄 的头像
𝐖𝐄𝐍𝐄1 个月前

@nvidia This is the direction AI agents need to go. A fully local computer agent means more privacy, lower latency, and less dependence on cloud infrastructure. The personal AI computer is getting real.

Data Sculpting Inc. 的头像
Data Sculpting Inc.1 个月前

@nvidia If it's all local, no cloud, why does it need a paid Perplexity plan?

SinAniS 的头像
SinAniS1 个月前

@nvidia Wow OK things getting Hot in IT i see, so happy to be in this field 😍

OwlcoreAI 的头像
OwlcoreAI1 个月前

@nvidia No thanks, I'm not wasting my Spark RAM on Perplexity. Funny how an influencer mentions Perplexity a few days ago and suddenly this. Totally organic, right...

LionTV 的头像
LionTV1 个月前

@nvidia Yo, local agents with privacy intact is huge for real

David Proulx 的头像
David Proulx1 个月前

@nvidia Big fan of Perplexity with Max Plan here. How would this be better than Hermes? @perplexity_ai @AravSrinivas

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