Healthcare
Triage agents on PHI. No new BAA.
the constraint
The most capable AI needs a data center. The world runs on Intel.
Frontier models now need 500+ GiB of fast memory and NVIDIA-class GPUs. Almost no one owns that. Almost everyone owns Intel.
a data centervs →
- >500 GiB memory
- NVIDIA-class GPUs
- >$500K
Almost nobody owns this
hardware you own
- Intel Core Ultra + Arc
- already deployed
- <$20K
Same models, on-prem
the unlock
Stop over-buying compute. Or leaking data to get AI.
On-prem mandates and the AI rush push teams to over-provision hardware, or send their crown-jewel data to the cloud. Cascadia unlocks more capability from the machines you already have.
local or enterprise
One engine, two ways to run.
The same engine scales from a single device to your whole fleet. Pick where you are.
Cascadia Local
Capable models on the Intel hardware you own, fully offline.
- For your home
- Single-user optimized
Cascadia Enterprise
A managed on-prem cluster for businesses, from the Intel machines you already run.
- For businesses
- Multi-tenant support
- Centralized user & policy controls
- Zero egress, fully on-prem
built with
The software that makes Intel AI PCs an AI Platform.
“Intel is focused on engineering the next wave of computing, where AI workloads are distributed, efficient, and closer to where data is generated. We’re excited to be working with Cascadia to enable consumer/enterprise AI PCs to run models previously impossible and help bring efficient distributed AI to more environments.”
Dennis Luo
Senior Director/General Manager, Worldwide Developer Relations & Innovation
See what private agents can do for you
Finance
Draft deal docs without an egress event.
Legal
Contract review without risking privilege
Government
Operate where cloud isn't permitted.
performance
Data-center throughput on desk-class hardware.
Llama 3.1 8B INT4 across two commodity Intel AI PCs, distributed over a standard office WiFi network, with 2-stream micro-batching and K=3 speculative decoding. No GPU servers, no data center.
43.97tok/s
Llama 3.1 8B · 2 AI PCs · 1.79× of monolithic single-user
64.67tok/s
Llama 3.1 8B · 3 AI PCs · 3 concurrent users · 2.64× of mono
4.04×
Over naive distributed at 100 ms/hop WAN, full stack stays above the interactive floor
42days
Payback vs A100 cloud at 24/7 on a 20-node fleet, ~94% lower annual cost
security
What crosses your network boundary? Nothing.
No cloud, no telemetry, no phone-home. Zero egress is a property of the architecture, not a setting.
See the security posturecabin demo
Watch and experience how Cascadia enables computers to work together in this remote cabin experiment. Get your questions answered by the computers in action.
See Cascadia in Action.
FAQ
Questions, answered.
No. Inference runs on your own machines. No cloud, no telemetry, no phone-home.
Same engine, same models either way. One PC or a whole fleet: the models you can run and the throughput you get scale with the hardware you point at it.
Any open Hugging Face transformer: Llama, Qwen, Mistral, Gemma, Phi, DeepSeek.
The Intel Core Ultra PCs you likely already own, better with an Arc card. One device or many.
We stand up your first private model in under a week, on your network. You keep everything.
Free for individuals. Enterprise is priced per device, not per token. Talk to us.
Bring a fleet. Keep everything.
We stand up your first private agent in under a week, on your hardware, on your network. You keep all of it.
Free for individuals
DownloadApply to become a design partner
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