Edge AI for real-world operations
NVIDIA Jetson devices — from the affordable Orin Nano Super to the 128 GB Thor line — running LLMs, VLMs and vision locally, at low latency. On-premise, no cloud, your data always in-house.
Why edge
Real-time inference on site, with no round-trip to the cloud. Vision, quality control and robotics react in milliseconds.
Data never leaves the company: no transfer to external services. Privacy and data sovereignty by design.
No cloud bills per token or per GPU-hour. Hardware bought once, unlimited local compute.
The devices
The full NVIDIA Jetson range, configured, integrated and tested by us — ready to use, not a box to assemble.
The affordable edge device to actually get started. 1024-core Ampere GPU, 6-core Arm CPU, up to 67 TOPS for real-time open-source LLMs and VLMs. We ship it with NVMe SSD and a dedicated case, OS and models already optimised.
Blackwell architecture, for robotics, foundation models and on-prem generative AI. We've worked with it since the original training set (T5000 unit + development box); today the range spans from T2000 to T5000.
| Model | Memory | CUDA cores | AI (FP4) | CPU | Availability |
|---|---|---|---|---|---|
| Jetson T5000 | 128 GB | 2560 | 2070 TFLOPS | 14-core | Available |
| Jetson T4000 | 64 GB | 1536 | 1200 TFLOPS | 12-core | Available |
| Jetson T3000 | 32 GB | 1536 | 865 TFLOPS | 8-core | Q1 2027 |
| Jetson T2000 | 16 GB | 1024 | 400 TFLOPS | 6-core | 2027 |
All modules on Blackwell architecture, LPDDR5X memory. FP4 (sparse) TFLOPS, NVIDIA data. Configurations and pricing on request.
Use cases
Automating everyday tasks with local LLMs.
Real-time computational modelling.
Intelligent anomaly and threat detection.
Vision-based defect detection, right on the line.
Data-driven process improvement.
Complete data privacy and security, on-prem.
Why ECONOVA
Device configured and tested: SSD, case, OS and optimised models. Power it on and it works.
We tell you what a device can and can't do — like the Nano's 8 GB ceiling — before you buy, not after.
Open-source LLMs and VLMs optimised for the hardware, with ECONOVA governance: AI actions traced, and a person always in control.
From a proof-of-concept on the Nano to a Thor fleet: scale up without changing your stack or skills.
Governance
ECONOVA-AI's governance framework — agile and proportionate, applied to every product in the suite. Trust in the results is the real difference.
Every AI call is logged, with an audit trail of approvals: every result can be reconstructed.
Claims are verified against the input data; unverified ones are flagged.
The final decision is always human; AI speeds up the work, it doesn't replace it.
Published, citable framework: PONDUS-AI, DOI 10.5281/zenodo.21307392. Approach proportionate to the EU AI Act.
We'll run a demo on your scenario — vision, quality control, assistant or robotics — and recommend the right device, from Nano to Thor.
Edge Solutions