Own Your AI: Dell Pro Max with GB10

AI workstations no longer need to fill a warehouse, cost tens of thousands of dollars, or drink down a city’s worth of water. The Dell Pro Max with GB10 is a self-sufficient AI workstation that runs 70 to 120 billion parameter LLMs for nothing more than the standard cost of electricity. The device weighs 1.31 kilograms and fits cleanly on any desk.

A GB10 reduces your need for hosted subscriptions, hands you control of your AI pipelines, and keeps your work private. You can get meaningful work done with AI from anywhere with an internet connection, and when your demands grow, it is straightforward to pair two units into a cluster that handles models up to 400 billion parameters.

What the subscription model costs you

AI subscriptions start cheap at $20/mo but climb fast for serious usage. People getting value from AI tend to use the $100/mo or $200/mo plans offered by OpenAI, Claude or Cursor. Plans are often stacked because each tool has a different sweet spot for code, research and writing. Pipelines and agents that do not fit a chat window can increase costs further through API calls. Claude Sonnet 4.6 is $3 per million input tokens and $15 per million output, and GPT-5 sits in the same range. A single agent run that reads a 50,000-token codebase and writes back 5,000 tokens is about 25 cents. A 10-person team with three or four heavy users on $200 plans, the rest on $30 seats, and a handful of API-driven pipelines lands somewhere between $15,000 and $25,000 a year. In comparison, the Dell Pro Max with GB10 has an MSRP at $6,300. One unit pays for itself in under a year, and every prompt after that is free.

On subscription plans, vendors decide which models exist and how the API around them works, and they change on their own schedule. Several legacy models are simply no longer available. OpenAI’s Assistants API was superseded by the Responses API in 2025, putting every team using the initial API on a rewrite clock. The GPT-5 launch in August 2025 removed older-model selection from ChatGPT overnight and only restored it after several days of customer backlash. Rate limits depend on which usage tier you have unlocked on the API, which is dependent on how much you have spent. A local model running on your GB10 reliably uses the version you chose until you decide to change something.

Concerns over privacy

Every prompt you send to a hosted endpoint passes through someone else’s infrastructure and into someone else’s logs. Samsung banned its employees from generative AI in 2023 after engineers pasted proprietary source code and internal meeting transcripts into ChatGPT. Italy’s data protection authority blocked ChatGPT the same year on GDPR grounds. In the New York Times v. OpenAI litigation, a federal court required OpenAI to preserve ChatGPT conversation logs, including ones users had already deleted. ChatGPT free and Plus accounts default to making your conversations available for training unless you find the toggle and turn it off. The zero-retention agreements and BAAs that bring AI into healthcare, legal and finance are reserved for enterprise contracts at enterprise prices. The work that would benefit most from AI shouldn’t be pasted into a cloud chat. A Dell Pro Max with GB10 keeps sensitive documents and conversations on your network.

What you can accomplish with a GB10, today

The GB10 is built as a personal AI workstation, and on one developer’s desk that is exactly what it is: an interactive 70-billion-parameter model with no latency to a remote endpoint. The same box doubles as an async inference server for the rest of the team.

LM Studio turns the GB10 into a private inference server and allows your laptop or phone to act as a client device. Pull an open-weights model once, and any device on your network can chat with the box on your desk, no matter how far from the office you may be.

The GB10 runs DGX OS 7 with the full NVIDIA stack. AI Workbench gives you a managed environment for fine-tuning, RAG pipelines and containerized projects that move cleanly between the desktop and any other NVIDIA-powered machine. Start a project locally, hand the same workspace to a teammate, push it to a larger cluster when you need to without rebuilding the environment each time.

When your needs exceed the capabilities of a single GB10 unit, it’s trivial to pair AI workstations using the 200 Gbps QSFP ports. High-speed interconnect allows GB10 clusters to share memory and run models up to 400 billion parameters. The same pairing absorbs more concurrent interactive users when the team grows past what a single box can serve. The upgrade path is a second box on a second desk, not a six-figure capital request and a new server room.

Own your entire AI pipeline without sacrificing quality or speed

The 128 GB of unified memory on a GB10 is shared between the CPU and the GPU. The Dell Pro Max with GB10 uses the same architecture NVIDIA ships in its data-center DGX systems. You can wire a frontier-class model into the rest of your stack without an API key.

The Dell Pro Max with GB10 costs less than a year’s worth of a serious team’s AI subscription. Run it headless as a server in the corner of your network or set it on a desk and use it as a primary workstation. Either way, the model is yours and the only ongoing cost is the electricity from the wall. Once a GB10 is on your network, you’ll stop calculating subscription fees and start offloading cognitive work so you can plan for broader horizons.