Intel Created Two Nervana Neural Network Processors for AI Systems
Daniel Johnson — November 14, 2019 — Tech
References: newsroom.intel & engadget
For the first time, Nervana Neural Network Processors are designed for AI use in cloud technologies. The two new Nervana Neural Network Processors are titled 'NNP-T1000,' and the 'NNP-I1000.' The NNP-T1000 was designed to be used for AI training on all types of computers, while the NNP-I1000 was designed to operate with higher-level tasks.
As AI technologies continue to proliferate, companies are creating hardware that can optimize the technology. Additionally, creating hardware to help AI systems run on the cloud will have a significant impact on the way AI can be used.
The company also unveiled its Movidius Vision Processing Unit, which will increase the performance of computer vision systems. Intel's Movidius chip will be available in early 2020.
Image Credit: Intel
As AI technologies continue to proliferate, companies are creating hardware that can optimize the technology. Additionally, creating hardware to help AI systems run on the cloud will have a significant impact on the way AI can be used.
The company also unveiled its Movidius Vision Processing Unit, which will increase the performance of computer vision systems. Intel's Movidius chip will be available in early 2020.
Image Credit: Intel
Trend Themes
1. Cloud-optimized AI Processors - Creating specialized processors for AI systems in the cloud will enhance the performance and capabilities of AI technology.
2. AI Training Processors - Developing AI training processors for various computing devices will improve the efficiency and effectiveness of AI training processes.
3. Computer Vision Processing Units - Designing vision processing units to enhance computer vision systems will revolutionize the field of computer vision.
Industry Implications
1. Cloud Computing - Integrating AI processors optimized for the cloud into the cloud computing industry will drive innovation in AI-powered cloud technologies.
2. Artificial Intelligence - Advancing AI training processors will have a transformative impact on the AI industry, enabling more efficient and powerful AI models.
3. Computer Vision - Introducing specialized vision processing units will disrupt the computer vision industry, enabling more accurate and advanced computer vision applications.
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