Let’s Connect
Edge AI Accelerator Services
Comprehensive edge AI solutions from hardware integration to optimized inference deployment.
Cluster management

Custom compiler development

Adapting AI software to run efficiently on custom hardware

  • Developed backend software to connect the IREE AI compiler with specialized edge hardware
  • Enabled seamless communication between AI models and custom-built processing units
  • Made it possible to run AI workloads on unique or non-standard hardware platforms
Cluster management

Cluster management

Compiler integration with simulated hardware clusters

  • Integrated IREE with Verilator-based RISC-V cluster
  • Enabled full-stack simulation of AI kernel execution
  • Facilitated compiler-hardware co-verification
LLM Deployment

LLM Deployment

Running compact language models on custom processors

  • Successfully ran a smaller version of the LLaMA AI model on custom 32-bit processors
  • Used emulators to simulate and test performance before deployment
  • Demonstrated inference viability in emulator-based environments
Runtime Optimization

Runtime Optimization

Maximizing inference efficiency through custom runtimes

  • Built custom software to speed up how AI tasks are handled inside devices
  • Inspired by the way modern AI chips work (e.g., matrix engines)
  • Improved throughput on emulated hardware
Technologies, Frameworks & Platforms
Cutting-edge hardware and software platforms for edge AI deployment
NVIDIA Jetson Raspberry  pi Intel NCS Google Coral Qualcomm RB5 Xilinx Zynq STM32 MCUs ESP32-S3 TensorFlow Lite TinyML ONNX Runtime OpenVINO TensorRT Core ML SNPE CMSIS-NN
Ready to Deploy AI at the Edge?

Bring intelligence to your devices with our embedded edge AI solutions that deliver real-time performance with minimal power consumption.

Talk to Our Experts
Explore AI And ML Engineering