COMPUTER VISION
Ship models,
not operating systems.
Your ML team trained the model. Now they're debugging kernel drivers. Peridio delivers a production-grade embedded Linux platform for Jetson—so you can deploy vision systems in weeks, not years.
You're not a linux company. We are.
It starts innocently. Your prototype works. Then you try to ship at scale and discover that getting from demo to production is an 18-month detour through kernel drivers, BSP maintenance, and security compliance. Your ML team didn't sign up for this. Neither did you.
JetPack Works Until It Doesn't
Your prototype ran fine. Then you hit 100 devices and discovered JetPack's A/B failover doesn't actually fail over. One bad OTA bricked three units at $10K per truck roll.
Your ML Engineers Became Linux Experts
They were hired to improve model accuracy. Now they're maintaining meta-layers, debugging CUDA dependencies, and fielding questions about secure boot. Fifty percent of engineering cycles—gone.
The Enterprise Security Questionnaire
Your customer sent a 200-question RFP. Reproducible builds? SBOM generation? Disk encryption key management? You can't answer because JetPack doesn't either.
THE SOLUTION
Prototype to Production in Weeks, Not Months
Peridio replaces the 18-month "journey of discovery." We own the OS layer—NVIDIA-validated, long-term supported—so you don't become an accidental embedded Linux company.
Decouple Your OS from Your Application
OS layer (Peridio-managed) stays rigid. Application layer (your models, your config) updates independently. Ship new inference pipelines without touching firmware.
- Independent component lifecycles
- Model updates without OS rebuilds
- Faster iteration on what matters
- Treat edge devices like microservices
HARDWARE SUPPORT
Built for Jetson. Not Locked to It.
We're an NVIDIA NPN partner. Avocado OS ships with pre-validated CUDA, TensorRT, and cuDNN across the Orin and Xavier families. But we also know hardware roadmaps change.
NVIDIA FOCUS (PRIMARY)
- Seamless JetPack version upgrades
- Pre-validated CUDA + TensorRT + cuDNN combinations
- NVIDIA Preferred Partner—production-ready from day one
Also Supported
NXP i.MX
8M Plus, 93, 95
Qualcomm
Snapdragon
Raspberry Pi
4, 5, CM4, CM5
TI
AM62x, AM64x
Renesas
RZ/G2
x86-64
Intel, AMD
Supply Chain Freedom
- Single codebase across all silicon vendors
- Switch hardware without rebuilding your stack
Supported Platforms
15+
Board Variants
50+
Partner ODMs
12
RESOURCES
Do Your Diligence. We'll Be Here.
Dig into the docs, review the architecture, check the security posture. We built this for engineers who ask hard questions.
Resource Library
Access webinars, videos, podcasts, solution briefs, and insights from real-world AI projects.
See Physical AI in action →Documentation
See the API reference. Explore our SDK. Understand exactly what you're deploying.
Explore docs →Supported Hardware
View our support matrix for production-ready hardware platforms and development boards.
Start building →Day 1 Production-Ready.
Enterprise-grade device management from the start. Scale from prototype to millions without rebuilding your infrastructure.