Key Feature 1
Blazing-Fast Matrix Operators for Large-Scale Real-Time Data
A high-performance matrix computation framework for AI and HPC that delivers optimized operators for image and signal processing, linear algebra, and more, outperforming open-source alternatives.
Guarantees reliable, low-latency performance even in the most compute-intensive AI and HPC environments by performing complex computations on massive data in real time.
Key Feature 2
Optimized for Diverse Hardware and Platforms
Provides optimized operators for NVIDIA and AMD GPUs as well as x64 and ARM CPUs, and supports various operating systems including Windows and Linux, ensuring exceptional performance on every platform.
Develop and scale applications across diverse environments while staying agile as infrastructures evolve.
Key Feature 3
Developer-Friendly APIs and Tools for Multimedia Workloads
A single integrated toolkit that provides video streaming and image processing, image and video decoding, FFT, plot rendering, profiling, and other multimedia capabilities, along with easy-to-use developer tools.
Developers can easily develop, deploy, and run high-performance, stable applications using a single unified interface, without assembling extra libraries.
Key Feature 4
Compiler-Based Optimization for Custom Operators
JETWAVE™ leverages advanced compiler technology to make it easy for developers to implement custom operators that are automatically optimized for each target hardware architecture just like built-in operators.
Effectively address complex, specialized application requirements and enable the development of advanced AI and HPC solutions that deliver high performance and full functionality.
In Progress..
Morph Compiler
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Polyhedral-Based Optimization
Self-Definable & Multi-Level Intermediate Representation
Modern Programming Language Features
Hardware-Aware Compilation and Acceleration (CPU, GPU, and NPU)
Vectorized CPU
16K Image Resize
PyTorch
OpenCV
JETWAVE™
Elapsed Time in Milliseconds
GPGPU
16K Image Resize
PyTorch
OpenCV
JETWAVE™
Elapsed Time in Milliseconds
GPGPU
Matrix Convolution (Float32, 512x512 * 3x3)
PyTorch
JETWAVE™
Elapsed Time in Milliseconds
Tracking and Mosaicizing People Application Benchmark
JETWAVE Standard Libraries
Elapsed Time
: 15,525 ms (x5.7 faster)
Average FPS
: 161.1 fps
