Atlas brings the machine, the software, and the intelligence together—so homes and businesses can use AI on infrastructure they own, without needing to become infrastructure experts.
Owned hardware provides the foundation. Atlas OS brings every layer together into one private AI experience.
Atlas is building privately owned AI infrastructure for homes and businesses—powerful local intelligence, orchestrated by Atlas OS, with the option to put approved spare compute to work.
Atlas is pre-launch and pilot-stage. We’re validating the OS, hardware profiles, workload routing, and Grid design with early partners. The system shown here is the direction—not a claim of a finished shipping product.
From silicon to intelligence, Atlas is designed as a complete system. Our focus is the connective tissue: the control and routing layers that make hardware, models, data, and approved external capacity behave like one coherent resource.
Approved capacity, offered on your terms.
One simple experience that brings the full private AI system together.
Receives the request, applies your rules, chooses the model and compute, and returns a governed result through one interface.
ATLAS RESPONSIBILITYThis is the Atlas product: a unified operating layer across hardware, controls, and models.
Example products and models are illustrative, not a compatibility commitment. Memory needs vary by quantization, context length, concurrency, and runtime.
Explore how hardware cost, energy, current subscriptions, and hypothetical Grid participation could interact. Every assumption is visible—and adjustable.
Scenario only—not an ROI forecast. Hardware pricing and Grid economics are not final. Excludes financing, taxes, cooling, maintenance, utilization variability, resale value, and subscription features local models may not replace.
Atlas does not ask you to abandon the cloud. It gives you a private home base—and lets you decide when outside services make sense.
Your data, access, and costs depend on an outside provider.
Keep everyday work private and available. Connect outward only when you choose.
Three intended configurations. Final hardware specifications and pricing will follow pilot validation.
CONCEPT HARDWARE / NOT FINALA quiet, efficient Atlas node for everyday intelligence—documents, research, creation, and a private household knowledge base.
CONCEPT HARDWARE / NOT FINALA higher-capacity node for builders, creators, and technical teams running demanding local inference and automations.
CONCEPT HARDWARE / NOT FINALManaged on-premise AI infrastructure for organizations that need control, governance, and predictable performance.
Atlas Grid is the planned coordination layer for distributed AI compute. When your node has capacity you don’t need, you can choose to make approved resources available to verified workloads.
Run Atlas early. Shape the product around real work.
01 ↗FOR COMPUTE BUYERSExplore distributed inference.Help define the workloads, SLAs, and economics that matter.
02 ↗FOR TECHNICAL TALENTBuild the infrastructure layer.GPU systems, Linux, distributed systems, security, and ML infrastructure.
03 ↗We’re early. Precision matters more than pretending otherwise.
Atlas is currently assembling its first pilot cohort. Hardware configurations, pricing, Grid economics, and timelines are targets—not final commercial commitments. Join the pilot to help shape the first deployment.
Not necessarily. Atlas is local-first, not cloud-hostile. Atlas Intelligence is designed to choose the right resource for each task, keeping sensitive and routine work local while allowing approved external services when useful.
The core promise is control: local workloads stay on infrastructure you own. Pilot security architecture and data-handling policies will be documented before any customer deployment.
The planned Grid lets owners explicitly offer approved idle capacity to verified workloads. Local work remains the priority. Participation, workload classes, scheduling, and compensation controls are part of the pilot design.
Atlas is evaluating both purpose-built nodes and qualified existing hardware. Tell us what you run today in the pilot form—the first cohorts will help determine supported configurations.
We want to meet design partners, distributed inference buyers, and exceptional engineers working across GPU systems, Linux, orchestration, security, networking, and ML infrastructure.
Tell us where Atlas fits in your world. We’re selecting early pilot partners across homes, technical teams, businesses, and compute buyers.