Unlimited access to advanced AI
Inference runs on the hardware you already ship, resulting in no per-use charges and no costs that scale with usage.
The world’s first on-device AI that runs on any hardware
Runs on low-power hardware ｜ Cloud-level intelligence ｜ Works offline ｜On-device data processing ｜ Zero token cost
Explore our models
Designed for low-power, low-memory devices
Run a 35-billion-parameter language model with a small active memory footprint by streaming expert weights from SSD. Across the Edge0 family, language and voice models support products from phones and laptops to earbuds, glasses, and toys.
Private by design
Run inference on-device to keep sensitive data on the hardware, without sending it to a cloud model for processing.
How far down the device ladder
can on-device AI actually reach?
Most stay at the research stage
A few reach high-compute hardware
A handful stop at mid-compute hardware
Edge0All Four Tiers
Default state: no stage gradient background shown.
Parameter count is not the same thing as RAM
See the modelsEdge0-35B · sparse MoE
1.06 GB
LFM2-2.6B
5.4 GB
MiniCPM-V 4.0
9.0 GB
Gemma 4 E2B
11.4 GB
MiniCPM4-8B
16.4 GB
Gemma 4 E4B
17.9 GB
Qwen3.8-27B
56.0 GB
Muse Glimmer 30B
56.0 GB
Qwen3.5-35B-A3B
70.0 GB
DeepSeek-R1-Distill-Llama-70B
140.0 GB
A family of models.
One engineering discipline.
All models and specs
Edge0-35B
A 35-billion-parameter flagship on-device model that runs with 1–3 GB of memory and supports understanding and execution of complex tasks.
Edge0-8B
An 8-billion-parameter lightweight on-device model that runs with 1–2 GB of memory, suitable for Q&A and low-to-medium complexity tasks.
Audio8-ASR-3B
On the open-source ASR leaderboard — world-best 5.04% WER
Audio8-TTS-0.6B
0.6B size, 8B-grade voice — zero-shot cloning that captures the exact texture of your voice
Silicon, cloud and the companies putting models into products
//2026
Smart Earbuds
Edge-cloud voice SDK embedded in earbuds: natural commands, live readouts, zero hardware changes.
//2026
Robotics Chip
Edge-cloud HRI SDK embedded in humanoid robots — natural-language dialogue and command execution, fully functional offline or on weak networks.
//2026
Smart Glasses
Edge-cloud coordination cuts latency and cost: frequent commands on-device, complex tasks in cloud.
//2026
Embodied AI
Robot chips plus edge voice models: out-of-the-box, offline, low-cost voice interaction for makers.
//2025
Smart Toys
Edge-side models on a hybrid edge-cloud base answer fast commands and recognize emotion.
AI that consumer hardware can actually run.
Explore Edge0 products, evaluate them on your hardware, or talk to our team about integration.