AI-centric Server on Chip for increasing complexity and scale of AI inference applications, enabling the scale of real-life AI applications.
NeuReality aims to finalize and validate its NR1 Server-on-a-Chip solution to enable scalable AI deployment through optimized architecture and infrastructure for commercial use.
Projectdetails
Introduction
AI holds immense promise across a wide range of applications; however, putting AI to work at scale remains a challenge. The main problem with implementing scalable AI deployment is that the current AI inference architecture is unsuitable for performing hyperscale computations due to the complexity of deployment and total cost of ownership.
Need for New Architecture
New AI computing architecture is needed to enable the deployment of AI applications to realize its complete potential.
NeuReality's Solution
NeuReality has developed NR1, an innovative Server-on-a-Chip solution in an AI Centric architecture and NR1 SDK, to facilitate the deployment of AI at scale.
Key Features of NR1
- Unique architecture allows AI-optimized, simplified, and democratized infrastructure.
- Cost, power, and performance optimization of access to AI computing resources.
- Enables the deployment of AI inference.
Project Goals
During the EIC project, NeuReality will finalize the development of NR1 and validate the optimized chip in operational settings for further commercialization.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.500.000 |
Totale projectbegroting | € 7.252.975 |
Tijdlijn
Startdatum | 1-7-2023 |
Einddatum | 30-6-2025 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- NEUREALITY LTDpenvoerder
Land(en)
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A novel hardware & software platform to revolutionise artificial intelligence at the edge
Developing a scalable hardware and software platform for efficient edge AI inference, targeting computer vision and NLP, to drive adoption with reduced costs and power consumption.
Scalable Unified Processor Enhancing Revolutionary Computing, Harnessing Integrated Performance for Edge AI, Autonomous Driving, Generative AI, and Decentralized AIoT Applications
Developing the Tyr chip to enable real-time, efficient processing for Level 4/5 autonomous driving, addressing current data and processing limitations in the industry.
End to end Real-time Interactive Edge AI analytics platform for Industry and Automotive
Developing an end-to-end edge AI platform for Industry and Automotive, enabling non-coders to create real-time AI models efficiently for faster market deployment.
Europe’s first unified and versatile processing platform architecture in 5nm technology with proven scalability from edge to central high-performance solutions with unmatched cost and power efficiency
videantis aims to develop a scalable 5nm processor architecture for automotive and AI applications, enhancing European chip sovereignty and reducing costs for OEMs by up to 90%.
Quantum-enhanced Machine Learning
Equal1 aims to finalize a scalable, sustainable quantum processor chip for AI applications, enhancing machine learning capabilities while reducing carbon footprint.
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Nuwa Silicon
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