We help you accelerate development, unlock full hardware potential, and deliver stable, high-quality AI products.
Accelerated evaluation and development cycles for any model
Flexible workload distribution across whole SoC
Transparent performance, continous benchmarking, and stable tooling
Catalog
On-device GenAI
On-device AI for CPU + GPU
Cloud-to-edge migration
Benchmarking
Description
Enable local execution of generative AI models. We support the most cutting-edge models from Hugging Face to enable you building the most disruptive products. We effectively handle dynamic shapes and KV-caching, and support all relevant quantization techniques. We provide a full pipeline from importing and compilation to wrappers with an OpenAI-style API.
Run AI applications directly on CPUs and GPUs to achieve fast, efficient inference on your target system. This approach minimizes latency and maximizes responsiveness for real-time performance. It’s ideal for optimizing existing hardware while maintaining scalability across platforms.
Shift AI workloads seamlessly from the cloud to edge devices to ensure data privacy, real-time capabilities, and energy efficiency. Our solutions simplify deployment, making it easy to adapt cloud-based pipelines to on-device environments.
Make sure your products and applications are efficient, stable, and reliable. Assess and optimize AI model performance using standardized benchmarks and clear, actionable metrics. Our tools help identify bottlenecks and validate your results.
