Embedl

Embedl develops advanced tools and algorithms for Edge AI. Our mission is to make AI models run faster, more energy-efficient, and reliably across diverse hardware platforms, while significantly reducing development time.

We help teams deploy high-performance AI on real-world, resource-constrained devices.

Embedl Models (Community)

Pre-optimized models that can be used off-the-shelf or customized for specific hardware target supported by the embedl-models package.

First release highlights:

• The fastest Small Language Models (SLMs) using FlashHead, a novel architectural improvement to the language-model head
• Works with popular models like Llama, Gemma, and Qwen
• Provides speedups on top of:
  • Quantization
  • Flash Attention
  • Other standard optimizations

Device: Nvidia Jetson Thor

*Embedl quantized model for benchmarking similar to the FlashHead-W4A16 but without the faster FlashHead and custom generation loop.

Contact

Headquarters (Sweden)
Gamla Almedalsvägen 39
412 63 Gothenburg, Sweden

Email: [email protected]