So this morning I was quite surprised to read the company had launchedNVDLA(NVIDIA Deep Learning Accelerator), “free and open architecture that promotes a standard way to design deep learning inference accelerators” Comparison of two possible NVDLA systems– Click to Enlarge The project is ...
The Nvidia Deep-Learning Accelerator (NVDLA) is a free and open architecture that aims at promoting a standard way of designing deep neural network (DNN) inference engines. Following an analogy with open-source software, which is downloaded and executed, open hardware is likely to use FPGAs as...
VTA (versatile tensor accelerator) is an open-source deep learning accelerator complemented with an end-to-end TVM-based compiler stack. The key features of VTA include: Generic, modular, open-source hardware Streamlined workflow to deploy to FPGAs. ...
Two years ago, NVIDIA opened the source for the hardware design of the NVIDIA Deep Learning Accelerator (NVDLA) to help advance the adoption of efficient AI inferencing in custom hardware designs. The same NVDLA is shipped in the NVIDIA Jetson AGX Xavier Developer Kit, where it provides best-...
Two years ago NVIDIA announced the NVDLA as an open-source hardware project with this "NVIDIA Deep Learning Accelerator" to be a free and open architecture for inference accelerators. NVIDIA has now expanded the open-source software ecosystem around NVDLA. It has taken NVIDIA until recently to ...
13839 Repositories Type Sort OpenDLAPublicForked fromsilicontalks01/OpenDLA A discussion group on Open Source Deep Learning Accelerator, with technical reports and potential hardware/software issues. OpenDLA/OpenDLA’s past year of commit activity...
TVM adopts apache committer model, we aim to create an open source project that is maintained and owned by the community. Check out theContributor Guide. Acknowledgement We learned a lot from the following projects when building TVM. Halide: Part of TVM's TIR and arithmetic simplification module...
Spec Open Source Community News Events Resources Contact Us oneAPI Open SourceoneAPI allows developers to make accelerator choices based on what works best for their overall solution. Global support for industry-leading technology makes open-source oneAPI a sure path for the future, enabling ...
By extending the TVM stack with a customizable, and open source deep learning hardware accelerator design, we are exposing a transparent end-to-end deep learning stack from the high-level deep learning framework, down to the actual hardware design and implementation. This forms a truly end-to-...
NVIDIA open-sourced its leading deep learning accelerator over a year ago to spark the creation of more AI silicon solutions. Open-source architectures such as NVDLA and RISC-V are essential building blocks of innovation for Big Data and AI solutions. “It is great to se...