Product
Components
Your training stack stays as it is. The runtime takes the trained model to any GPU with a Vulkan driver: an inference engine and a multi-sensor zero-copy pipeline.
Runtime Layer
vAi
Runs your model on Vulkan compute. One engine, every Vulkan GPU.
- Loads SafeTensors weights in F32, F16 or BF16. The network is defined in code from the built-in operator set
- One API across AMD, Qualcomm, Intel and NVIDIA GPUs
- Runs on the stock driver each platform already ships, including Mesa RADV and AMDVLK on AMD. No custom driver install
- Same interface on Linux and Windows
- Heterogeneous execution across GPU and NPU on supported edge SoCs
vStream
Takes multi-sensor input end to end without letting intermediate results leave GPU memory.
- Video decode into GPU memory
- Preprocessing and multi-sensor fusion in place
- Inference through vAi on the same buffers
- Post-processing and visualization without a host round-trip
EVA
Easy Vulkan API. Wraps advanced Vulkan features in a smaller surface, and it is the layer vAi itself is built on.
Separate track
Safety certification planned
A deterministic compute driver on Vulkan SC is planned for automotive, industrial and medical deployments. Target standards include ISO 26262, IEC 61508 and ISO/PAS 8800.
Licensing
vAi and vStream are Apache 2.0. EVA is MIT licensed. There is no revenue threshold and no royalties.