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 ｜No privacy risk ｜ Zero token cost
Explore our models
Designed for low-power, low-memory devices
Up to 3 GB of memory, bringing powerful AI to compact hardware from phones to consumer-grade boards.
Private by design
Keep sensitive data secure with local processing that keeps data on your device.
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
Qen3.5-35B-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 embeds 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.
Bring on-device AI to your next product.
Explore Edge0 products, evaluate them on your hardware, or talk to our team about integration.