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Seoul, South Korea
51-100 Employees
2017
Disclaimer: Measurements by FuriosaAI internally on current specifications and/or internal engineering calculations. How Furiosa TCA unlocks powerful performance and energy efficiency. Tensor Contraction Architecture (TCA) is the architecture behind all Furiosa accelerators – designed to unlock powerful performance and unparalleled energy efficiency on the most capable AI models.
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AI chips for visionaries
... Founded in 2017, FuriosaAI is an AI chip startup company, that creates next-generation NPU products to help you unlock the next frontier of AI deployment. ...
Hangzhou City, China
1-10 Employees
2016
Intelligent upgrade is just need, can not be replaced is a pain point, help substation quickly realize intelligent transformation. Solution advantages Realize the intelligence, visualization and pre-planning of event prediction Provide clear information on entering and exiting vehicles and personnel characteristics, providing a strong basis for incident…. Smart chemical industry Improve process level, increase efficiency and energy saving, and provide safe and stable service Solution overview With the development of the economy and the continuous expansion of the scale of chemical enterprises, due to the particularity of chemical enterprises, chemical production machinery and equipment are becoming more sophisticated and complex, and the…. LangYang is an international leading IoT technology service provider, providing customers with modules, communication base stations and cloud platforms to achieve integrated, end-to-end IoT services. With its core products developed independently, it has obtained various patent certificates and honors.
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LANGYANG Technologies – Solutions of Edge Intelligence
... Embedded AI chip ...
Tel Aviv-Yafo, Israel
101-250 Employees
2017
Hailo offers breakthrough AI accelerators and vision processors uniquely designed to accelerate embedded deep learning applications on edge devices. The Hailo-15 family of AI vision processors combines Hailo’s patented and field proven AI inferencing capabilities with advanced computer vision engines, enabling unprecedented video processing and analytics at a premium image quality. The Hailo-8 AI accelerator allows edge devices to run deep learning applications at full scale more efficiently, effectively, and sustainably, with an architecture that takes advantage of the core properties of neural networks. Hailo-8 is achieving overwhelmingly high performance compared to conventional products. Hailo enables us to perform more sophisticated operations with more complex networks, and thus, offer more solutions to the wide array of manufacturers we work with. With Hailo we power edge devices with renewable energy and still get more machine learning capabilities than we used to with hardwired labs. Converting AI models to run at the edge is complex, and Hailo provides a stable, well-thought-out platform with great developer support and tools.
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The leading AI chip company for Edge Devices | Hailo
... As a leading AI chip company Hailo’s smart edge solution bridges the gap between existing and future AI technologies and the compute capacity needed to power these applications. ...
Grenoble, France
11-50 Employees
2017
We are passionate about making the world a better place. We are inspired by learning and by sharing what we learn. Our mission is to make quality and resources management accessible to everyone building products that impact our lives positively. We are building the world’s new vision standard for industrial quality production and resource optimisation. TiHive’s solutions help industries increase productivity and the quality of production by monitoring and qualifying all products on the fly, inline and non-destructively. TiHive’s leading see-through Terahertz vision & artificial intelligence platform monitors and qualifies each product, inline and non-destructively. We believe that every person can live a life of quality and achieve their dreams in a green and sustainable world. We empower people who build quality products that transform our lives and respect Earth’s resources by delivering easy to use and agile monitoring solutions that include cutting-edge sensing and imaging technologies based on Terahertz vision and AI.
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Terahertz nano-chips to AI
... A sensing revolution from Terahertz nano-chips to AI A sensing revolution from nano-chips to Terahertz AI Unveil the invisible with our patented see-through terahertz technology and our proprietary image processing and AI algorithms enabling breakthrough industrial applications. ...
Dresden, Germany
1-10 Employees
Our mission is to create ai chips with the smallest footprint without compromising on raw compute power. Of course we are not the only ones to recognize these basic facts. Even though SEMRON was only founded in 2020, Kai and Aron have known each other for over 10 years now. Our favorite analogy for this is that we are the opposite of a penguin, because they are compact to keep the heat in, while we want chips to be more compact, but still get the heat out.
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Featured
About
... SEMRON is a German start-up that is developing the ai inference chip with the highest intelligence density based on the innovative CapRAM technology. ...
Thiruvananthapuram, India
11-50 Employees
2020
Netrasemi's NetraSoC family is addressing the on-device AI computing needs for a wide range of industry segments including IoT. Netrasemi's Deep neural processor (NetraDNPU) IP core and a family of domain-specific hardware engines bring best-in-class AI/ML and feature performance. Netrasemi graph heterogeneous parallel processing fabric integrates a variety of hardware acceleration cores ensuring seamless data flow and performance without major CPU load. Netrasemi helps their customers to achieve these goals with their differentiated IPs, SoCs, AI software development framework and reference designs. Embedding intelligence in small and tiny devices is the latest trend in IoT. This is a major gap in the semiconductor industry today. The high energy efficiency offered by our architecture is ideally suited for edge computing in a tiny form factor. Our in-house IP portfolio allows us to do customer-centric optimizations if there is a strong need.
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Netrasemi | Intelligent Silicon solutions | AI/ML chips | Thiruvananthapuram
... Netrasemi | Intelligent Silicon solutions | AI/ML chips | ...
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The leading AI chip company for Edge Devices | Hailo
... As a leading AI chip company Hailo’s smart edge solution bridges the gap between existing and future AI technologies and the compute capacity needed to power these applications. ...
Cologne, Germany
1-10 Employees
2018
We are at the forefront of revolutionizing industries through cutting-edge digital twin solutions. Our mission is to enable our clients to bridge the gap between the physical and digital worlds, transforming their operations and decision-making processes. We Are Here for Your Creative Industrial Solution. Welcome to our company, where we are dedicated to providing cutting-edge solutions that bridge the gap between virtual and physical realities, all while exploring the fascinating realm of metaphysics. We specialize in providing advanced technologies and expertise to the manufacturing, construction, automotive, semiconductor, and ICT sectors. We strive to deliver comprehensive digital twin solutions that drive efficiency, productivity, and innovation across diverse industries. With a team of highly skilled engineers, data scientists, and domain experts, we bring together a wealth of knowledge and experience to tackle complex challenges. Therefore, we offer specialized digital twin solutions that address the specific demands of manufacturing, construction, automotive, semiconductor, and ICT companies.
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DigitalTwin Technology GmbH
... AI Chip ...
London, United Kingdom
1-10 Employees
VoIPSupplies is a distributor of the highest quality voice over IP hardware, supplying VoIP and Networking equipment worldwide. The VoIPSupplies portfolio features a wide range of market leading brands and is always expanding which includes, Cisco, Digium, Fanvil, Grandstream, Gigaset, Sangoma, Snom, Yealink, 2N Telecommunications and many more. VoIPar™ a VoIPSupplies company, has been providing telecommunications services since 2007, providing Cloud IPPBX solutions to thousands of businesses in the UK. Since 2016, VoIPSupplies has been growing year on year supplying VoIP, Networking, IT hardware, Our vision is to expand our portfolio and reach across UK, Europe and beyond. VoIPSupplies is not just another online shop selling products with no knowledge of the equipment on offer, we have been supplying and supporting our Business users with VoIP services since 2007, we offer expert advise and support across the board. Our staff have extensive knowledge and understanding of the products we sell.
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Dahua XVR5216AN-4KL-I3 WizSense 16-Channel 4K-N 5MP Penta-Brid HDCVI D – voipsupplies
... by Dahua Technology, WizSense is a series of AI products and solutions that adopt independent AI chip and deep learning algorithm. It focuses on human and vehicle with high accuracy, enabling users to fast act on defined targets. Based on Dahua's advanced technologies, WizSense ...
Berlin, Germany
1-10 Employees
2015
Select & Join is a selection, recruitment and onboarding process that helped our Head of People and Culture create tools, tighten our processes and train our managers in a way that is consistent with our culture. We are now much better prepared to scale our company.”. Join are an active partner working with us commercially to open doors, work with us through the hard problems, providing open and honest advice from the heart. We are a better business for our relationship. It’s that mindset that helps us deliver real results for our broad community of stakeholders. Our LPs are engaged and passionate about the sectors we invest in. They’ve also delivered on what we initially discussed, providing unwavering support in strategy and vision within the industrial tech ecosystem. We wouldn’t be where we are now without their continued involvement.”.
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3D-scaled AI Chips to power billions of consumer electronic devices in the era of LLMs.
... 3D-scaled AI Chips to power billions of consumer electronic devices in the era of LLMs. ...
Technologies which have been searched by others and may be interesting for you:
Some interesting numbers and facts about the results you have just received for AI Chip
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 83 |
| Amount of suitable service providers | 44 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2015 |
| Youngest suiting company | 2020 |
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An AI chip is a specialized silicon microprocessor designed explicitly for the acceleration of artificial intelligence (AI) applications, encompassing machine learning (ML) and neural network processing. Unlike general-purpose processors, such as CPUs, AI chips are optimized for the highly parallel and data-intensive operations characteristic of AI workflows, enabling them to execute AI-related tasks more efficiently and at a faster pace. These chips incorporate a variety of architectural innovations, including but not limited to, increased numbers of cores, specialized instruction sets, and advanced memory integration to handle vast datasets and complex algorithms. The primary role of AI chips is to facilitate the rapid development and deployment of AI technologies across a broad spectrum of industries, including autonomous vehicles, healthcare for predictive diagnostics, smart manufacturing, and consumer electronics for enhanced user interfaces. By significantly reducing the computational time and energy consumption required for AI processes, AI chips not only make it feasible to embed sophisticated AI models into a wide range of devices but also enable real-time processing and decision-making at the edge, thus expanding the horizon of AI applications. Their impact is profound, marking a pivotal shift towards more intelligent, autonomous systems that promise to revolutionize industries by driving innovation, efficiency, and sustainability.
1. Enhanced Processing Speed:
AI chips are specifically designed to handle complex algorithms and large data sets typical in machine learning and artificial intelligence tasks. This specialization allows them to process information much faster than general-purpose processors, leading to quicker data analysis and decision-making.
2. Energy Efficiency:
One of the most significant advantages of AI chips is their energy efficiency. They are optimized for AI tasks, which means they can perform these operations using less power compared to traditional CPUs or GPUs. This efficiency is crucial for both mobile devices, where battery life is a concern, and large data centers looking to reduce energy costs.
3. Improved Performance:
AI chips offer superior performance for AI applications due to their architecture, which is tailored for parallel processing and handling the specific workloads of neural networks. This results in faster execution of AI models and algorithms, enhancing the capabilities of devices and services that rely on AI technology.
4. Greater Flexibility:
Many AI chips are designed with flexibility in mind, allowing them to support a wide range of AI models and frameworks. This adaptability ensures that devices equipped with these chips can handle various AI tasks without needing hardware upgrades, making them more future-proof.
While evaluating the different suppliers make sure to check the following criteria:
1. Performance Efficiency
Evaluate the computational power and speed of the AI chip. Ensure it meets the performance requirements of your specific AI applications.
2. Power Consumption
Consider the energy efficiency of the chip. Lower power consumption is crucial for reducing operational costs and supporting sustainable practices.
3. Compatibility
Check the compatibility of the AI chip with your existing infrastructure and software. This includes support for various programming languages and frameworks.
4. Scalability
Assess the chip’s scalability to support future growth and more complex AI tasks without requiring a complete system overhaul.
5. Support and Maintenance
Ensure the supplier offers comprehensive technical support, regular updates, and maintenance services to keep the chip running efficiently.
6. Cost
Compare the cost of the AI chip against its features and performance. Look for a balance between affordability and quality to achieve the best value.
7. Security Features
Investigate the embedded security measures of the AI chip to protect against data breaches and cyber threats.
8. Customization Options
Determine if the supplier provides customization options to tailor the AI chip to your specific needs and applications.
9. Industry Reputation
Research the supplier’s reputation in the industry, including customer reviews and case studies, to gauge reliability and quality of service.
10. Future-proofing
Consider the supplier’s commitment to innovation and how they plan to adapt to future AI advancements. This ensures long-term viability and support for emerging technologies.
AI chips, specialized hardware designed to efficiently process AI algorithms, are revolutionizing various industries with their ability to perform high-speed computations and data processing. In the realm of manufacturing, these chips are integrated into predictive maintenance systems. They analyze vast amounts of sensor data in real-time, predicting equipment failures before they occur, thereby reducing downtime and maintenance costs. In the healthcare sector, AI chips are pivotal in enhancing diagnostic accuracy and patient care. They power advanced imaging equipment and genomics analysis tools, enabling quicker and more precise disease detection. This capability significantly improves treatment outcomes by facilitating early intervention. The financial services industry benefits from AI chips through enhanced fraud detection systems. By analyzing transaction patterns in real-time, these chips help identify and prevent fraudulent activities, safeguarding both the institutions and their clients’ assets. In the automotive industry, AI chips are at the heart of autonomous driving technologies. They process vast amounts of data from various sensors and cameras installed in vehicles, enabling real-time decision-making and ensuring safer autonomous driving experiences. Lastly, in the realm of smart cities, AI chips are essential for traffic management and infrastructure maintenance. They analyze data from various sources, including traffic cameras and sensors, to optimize traffic flow and predict infrastructure failures, thus improving urban living conditions. Overall, AI chips are instrumental in driving efficiency, safety, and innovation across multiple industries, making them a cornerstone of modern B2B solutions.
As of the latest insights, AI chips, which are specialized silicon chips designed to efficiently process AI tasks, have reached a Technology Readiness Level (TRL) of 9, marking them as fully mature technologies. This classification stems from their extensive integration into consumer products, industrial applications, and critical infrastructure systems. The technical basis for this TRL positioning is underpinned by several advancements: the development of highly optimized computational architectures like GPUs, TPUs, and FPGAs, which are specifically tailored for the parallel processing demands of AI algorithms; the successful miniaturization of transistors, allowing for greater computation power within the same physical footprint; and significant breakthroughs in energy efficiency, reducing the operational costs and environmental impact of deploying AI at scale. Additionally, AI chips have demonstrated their robustness and reliability in real-world conditions across a wide range of applications, from voice recognition in smartphones to complex data analysis in cloud computing environments. This widespread deployment and proven performance record indicate not only the maturity of AI chip technology but also its readiness for even broader adoption and integration into future technological innovations.
In the short term, AI chip technology is poised to experience significant improvements in specialized processors, enhancing machine learning efficiency and energy consumption. Innovations such as in-memory computing and the integration of AI functionality directly into consumer devices will become more prevalent. These advancements will lead to faster, more efficient AI computations at the edge, reducing reliance on cloud-based AI services and enabling real-time analytics and decision-making in devices like smartphones, drones, and IoT devices. The mid-term outlook for AI chips focuses on the development of more versatile, adaptive computing architectures. As AI workloads become increasingly complex, the need for chips that can dynamically adjust to different types of AI tasks will become crucial. This period will likely witness the rise of neuromorphic computing, which mimics the human brain's structure and functioning, offering unprecedented efficiency and speed for AI applications. Such chips will support more sophisticated AI models, facilitating advancements in natural language processing, autonomous vehicles, and personalized medicine. Long-term advancements are expected to usher in a new era of quantum AI chips, blending quantum computing principles with AI chip technology to tackle problems beyond the reach of classical computers. This will revolutionize fields such as cryptography, material science, and complex system simulation. Additionally, the long-term phase may see the emergence of fully autonomous AI systems capable of self-learning and adaptation without human intervention, powered by advanced AI chips that significantly surpass the capabilities of today's technology. These developments will fundamentally change how AI is integrated into society, the economy, and our daily lives.
Some interesting questions that has been asked about the results you have just received for AI Chip
What are related technologies to AI Chip?
Based on our calculations related technologies to AI Chip are Magnets, Printed Electronics, Industrial Amplifiers, Electronic Transducers, Electronic Oscillators
Who are Start-Ups in the field of AI Chip?
Start-Ups who are working in AI Chip are Netrasemi
Which industries are mostly working on AI Chip?
The most represented industries which are working in AI Chip are Information Technology, Hardware, Commerce and Shopping, Science and Engineering, Manufacturing
How does ensun find these AI Chip Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
