NVIDIA Previews Open-source Processor Core for Deep Neural Network Inference
October 31, 2017
With the proliferation of deep learning, NVIDIA has realized its longstanding aspirations to make general-purpose graphics processing units (GPGPUs) a mainstream technology. The company's GPUs are commonly used to accelerate neural network training, and are also being adopted for neural network inference acceleration in self-driving cars, robots and other high-end autonomous platforms. NVIDIA also sees plenty of opportunities for inference acceleration in IoT and other "edge" platforms, although it doesn't intend to supply them with chips. Instead, it's decided to open-source the NVDLA deep learning processor core found in its "Xavier" SoC introduced last fall.
To read the full article, click here
Related Semiconductor IP
- Highly scalable inference NPU IP for next-gen AI applications
- 4-/8-bit mixed-precision NPU IP
- Low-power high-speed reconfigurable processor to accelerate AI everywhere.
- Super low-power and high accuracy AI processing engine for Wake Word, Voice Commands, Acoustic Event Detection, Speaker ID and Sensors
- ARC EV Processors are fully programmable and configurable IP cores that are optimized for embedded vision applications
Related Blogs
- Synopsys Fields Processor Core for Neural Network Computer Vision Applications
- Imagination Technologies' Upgraded GPUs, New Neural Network Core Provide Deep Learning Processing Options
- Processor Wars: NVIDIA reveals a phantom fifth ARM Cortex-A9 processor core in Kal-El mobile processor IC. Guess why it's there?
- Tensilica Vision P6 Processor Core Adopts Deep Learning-Focused Enhancements
Latest Blogs
- World's First Standards-Compliant 112G PHY IP for Linear Optics: A Turning Point for AI Interconnects
- One Key for Every Door: How Aliro Extends the UWB Digital Key Beyond the Car
- Reprogrammable Post-Quantum Security for SoCs: Why Crypto-Agility Matters
- Designing the Beam Steering Core for a C-Band AESA: A Look at VSI's VBF0644 GaAs Beamformer IC
- Secure Boot for embedded systems: Building a complete chain of trust