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About

NVIDIA Nemotron 3.5 Bolt is a family of open artificial intelligence models designed for local AI agents, autonomous task execution, and conversational applications. The family includes Nemotron 3.5 Bolt 74B-A9B, a 74-billion-parameter mixture-of-experts model with approximately 9 billion active parameters, and Nemotron 3.5 Bolt E4B, a compact model optimized for conversational agents. The 74B-A9B variant uses native 2-bit quantization to operate within approximately 24GB of memory on compatible NVIDIA hardware. Its agentic capabilities support web research, software development, code debugging, and multistep task automation without requiring cloud-based inference. The E4B variant targets local voice assistants, interactive characters, and embedded applications with a 4GB memory footprint. Nemotron 3.5 Bolt supports deployment on NVIDIA RTX systems, DGX Spark, and other compatible hardware, giving developers greater control over inference, application data, and local AI workflows.

About

Portable Computer is a local-first version of Perplexity Computer that runs entirely on your own machine, keeping private data on-device while still supporting complex agentic workflows. Built with NVIDIA, it runs the orchestrator, planner, tool router, scheduler, durable task queue, local search index, and AI models locally, so it can analyze data, synthesize files, search documents and code, take actions on the device, and keep long-running jobs active without relying on the cloud. It runs on NVIDIA DGX Spark with Qwen 3.8 27B or PPLX 27B, with NVIDIA Nemotron 3.5 Lightning coming to the model picker. It is trained to complete as much of each task locally as possible and can escalate only the steps that need current information, browser access, connected apps, or frontier reasoning. When a task needs to send content from the device to a cloud service, Portable Computer asks for permission before proceeding.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Not Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

AI developers, software engineers, machine learning researchers, game developers, robotics engineers, enterprise IT teams, and organizations building local autonomous agents, coding assistants, conversational AI systems, and privacy-conscious applications on NVIDIA hardware

Audience

Privacy-conscious professionals, developers, and AI users seeking to run complex AI agent workflows locally while keeping sensitive files and data on their own hardware

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

$20 per month
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
features 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • What I like most is that I can run a genuinely capable agent model locally without needing datacenter hardware. The 74B-A9B version fits in 24GB of memory, which makes it realistic for high-end RTX systems and DGX Spark. It is also surprisingly useful for real agent work. I can use it for research, coding, debugging, writing, and multi-step tasks while keeping everything on my own machine instead of pushing code or sensitive data to a cloud API. The performance-to-memory tradeoff is probably the biggest win. NVIDIA says Bolt 74B-A9B is the #1 open model in its class on PinchBench and #2 on BrowseComp, so it is not just small enough to run locally — it is actually competitive at agentic tasks.

Cons

  • The main downside is that 24GB is still a meaningful hardware requirement, and local inference will not always match the raw capability of the biggest cloud frontier models.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

NVIDIA
Founded: 1993
United States
nvidia.com

Company Information

Perplexity
Founded: 2022
United States
www.perplexity.ai/hub/products/portable-computer

Alternatives

Alternatives

Nemotron 3

Nemotron 3

NVIDIA

Categories

Categories

AI Agents Supported

Integrations

Asana Not Supported
Baseten Supported
Dropbox Not Supported
GitHub Not Supported
Gmail Not Supported
Google Drive Not Supported
Hugging Face Transformers Supported
Jira Not Supported
Linear Not Supported
Microsoft Excel Not Supported
Microsoft OneDrive Not Supported
Microsoft Teams Not Supported
NVIDIA NIM Supported
Nemotron 3.5 Lightning Not Supported
Notion Not Supported
OpenRouter Supported
Perplexity Search API Not Supported
Slack Not Supported
Snowflake Not Supported
vLLM Supported

Integrations

Asana Supported
Baseten Not Supported
Dropbox Supported
GitHub Supported
Gmail Supported
Google Drive Supported
Hugging Face Transformers Not Supported
Jira Supported
Linear Supported
Microsoft Excel Supported
Microsoft OneDrive Supported
Microsoft Teams Supported
NVIDIA NIM Not Supported
Nemotron 3.5 Lightning Supported
Notion Supported
OpenRouter Not Supported
Perplexity Search API Supported
Slack Supported
Snowflake Supported
vLLM Not Supported
Claim Nemotron 3.5 Bolt and update features and information
Claim Nemotron 3.5 Bolt and update features and information
Claim Portable Computer by Perplexity and update features and information
Claim Portable Computer by Perplexity and update features and information