| 5G, 5G Advanced and 6G Infrastructure Developments in 5G, 5G Advanced and 6G technologies are influenced by the need for multiple industries to adopt cellular technologies to service new use cases. Applications such as vehicle-to-everything (V2X) for automotive, plus the need to support untethered robotics with ultra-reliable, low-latency capabilities and connectivity for remote geographies are driving radio and networking capabilities to new levels. Learn More > |
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| Artificial Intelligence and Machine Learning Artificial Intelligence (AI) stands at the forefront of technological innovation, reshaping industries, revolutionizing workflows, and redefining interaction with machines and data. This revolution is made possible because models and compute capabilities are enabling computers to solve intractable problems not easily solved by any other approach. Learn More > |
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| Automotive Advanced driver assistance systems (ADAS) is the strongest growth factor for electronics in automotive applications. However, there is no one perfect approach, and whether it's an architecture that is centralized, decentralized, uses cameras, radar or lidar sensors, each technology provider will take their own unique approach in order to differentiate their offering from the competition. With increasing adoption of AI, the application requirements continue to change and with the long production cycles from design concept to volume production, one thing is certain: these products must be designed with flexibility in mind. Learn More > |
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| Computational Storage Computational storage solutions enhance traditional storage subsystems with more capabilities to reduce data movement and optimize performance and efficiency. The Speedster7t family of FPGAs allow you to create solutions to perform powerful data plane services at the storage, like indexing, searching, or even analyzing data with AI/ML algorithms. You can also provide more traditional storage data plane service like encryption, compression, and deduplication. Learn More > |
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| Compute Acceleration Today's workloads in compute acceleration are as diverse as the end applications — everything from financial trading and genomics to machine learning inference and training. However, the workloads share some common characteristics including the types of arithmetic functions, number formats (integer and floating point), and aggressive performance targets. Furthermore, as processing naturally migrates closer to the edge, power, thermal aspects and performance per watt become key metrics. Learn More > |
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| Defense and Hardware Assurance Defense applications that require hardware assurance and long lifecycles are and ideal fit for FPGA and eFPGA solutions. FPGA or eFPGA based designs can be customized at development time and upgraded post deployment to add new features and functionality. This is particularly important because security measures degrade over long periods of time when they are susceptible to outside threats. Learn More > |
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| Networking Companies building future networks have the challenge of addressing the ever increasing and diverse data demands at an affordable cost. Two new paradigms that has evolved as a result are: Learn More > |
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| Test & Measurement Test and Measurement tends to be at the leading edge of innovation as older approaches to test new technologies is not practical for technical and cost reasons. Like testers, FPGAs have often been the platform enabler for initial prototyping and deployment for Test and Measurement products. Some of the industries that demand high performance, tests for new and emerging standards and faster time to market includes Wired communications, 5G Infrastructure, IoT. Similarly the ATE testers need to support complex logic and memory components. Learn More > |
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