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Toggle navigation * * Hardware * Overview * * Titanium FPGAs * Trion FPGAs * RAP * Development Kits * Software * Efinity IDE * RISC-V SoCs * Quantum Accelerators * * Edge Vision SoC * Technology * Company * Overview * Executive Leadership * Board of Directors * Advisory Board * Investors * * News * * Sales and Distributors * Contact Us * * Careers * Support * * * English * 日本語 Titanium FPGAs With up to 1 million logic elements, Titanium FPGAs bring high performance, high capacity, and low power to the mainstream market. Learn more FPGA Availability Got You Down? Learn how Efinix and our partners can help maximize your chance of safe passage with today's supply chain issues. Learn more Accelerate Your Hardware with RISC-V SoCs Create entire systems that include embedded compute and user-defined accelerators all in the same Titanium or Trion® FPGA. Learn more Ti60 F100: Ready for Vision 60K worth of logic plus integrated SPI flash and HyperRAM wrapped into a tiny 5.5 mm square package. Learn more ACCELERATE EFFICIENCY TIME TO MARKET EDGE COMPUTING YOUR INNOVATION LOW POWER, RECONFIGURABLE, HIGH-PERFORMANCE. FPGA SILICON PLATFORMS FOR THE MAINSTREAM MARKET At the heart of our FPGAs is our disruptive Quantum™ fabric, which delivers power, performance, and area advantages over traditional FPGA technologies. Our Titanium FPGAs are ready to unlock new applications and deliver rapid time to market for innovations in the mainstream marketplace. With densities ranging from 4K to 1 million logic elements (LEs), our FPGAs are ready to meet your next design challenge, whether it is custom logic, compute acceleration, machine learning, or deep learning. Could there be a more affordable FPGA solution for Edge AI applications? Capitalizing on the Architectural Flexibility of FPGAs with RISC-V and a Simplified Programming Flow. Read about the economics of the FPGA. INDUSTRIAL 4.0 INTERNET OF THINGS VIDEO PROCESSING / SURVEILLANCE COMPUTE AND STORAGE WIRELESS AND INFRASTRUCTURE AUTOMOTIVE LEARN MORE Read press release Reconfigurable Acceleration Platforms web page Download Reconfigurable Acceleration Platforms Overview (PDF) RECONFIGURABLE ACCELERATION PLATFORMS Harnessing FPGA potential to enhance versatility, reduce time-to-market, and minimize cost. Efinix's Reconfigurable Acceleration Platform (RAP) is an initiative that helps designers intuitively incorporate FPGAs in applications in which they can provide domain-specific compute and acceleration and adapt to changing workloads over the life of the product. AUTOMOTIVE In recent years, the automotive industry has been experiencing a paradigm shift in the way it embraces technology. Modern vehicles incorporate hundreds of sensors such as 360 degree surround video, LiDAR sensors for automatic driver assistance, and lane departure assistance sensors. There is even a roadmap that shows a credible path to truly autonomous driving. Inside the vehicle, the driver has an unprecedented wealth of information while the passengers enjoy an immersive in-vehicle entertainment experience. Increasingly, vehicle sensors are connected with automotive Ethernet and feed data back to centralized intelligent compute and storage systems. The modern vehicle has become a data center on wheels. With embedded MIPI interfaces and the reprogrammable Quantum™ fabric, Efinix® FPGAs are uniquely positioned to address the needs of automotive applications. The Trion® and Trion Titaniuim families have members that feature hardened MIPI interfaces that, alongside a wealth of GPIO, ensure universal connectivity for sensor fusion while the Quantum fabric delivers the compute capability for low latency, intelligent processing of realtime data. From optical and LiDAR sensors to artificially intelligent data processing to display and motor control, Efinix FPGAs deliver the driving power behind automotive applications. INDUSTRIAL 4.0 Today’s industrial applications generate unprecedented quantities of data. Sensors monitor not only every parameter of a production line’s output but also the performance of the production line itself. Machines are instrumented to detect any sign of wear or potential failure to allow for preventative maintenance to be performed thus avoiding costly down time. Latency critical processes require that compute and artificially intelligent data processing move closer to the source of the data where it can be analyzed and interpreted in real time. Efinix® FPGAs have been widely adopted in industrial applications providing sensor fusion, data analysis and real time motor control. They have a cost structure that allows them to be widely deployed and a power and performance envelop that makes them ideally suited for industrial environments. With the growing focus on edge compute and artificially intelligent data processing, Efinix devices will be increasingly deployed to deliver the compute requirements of the next generation of industrial automation. VIDEO PROCESSING AND SURVEILLANCE The past ten years have seen an explosion in the adoption of machine vision and image processing. Once considered too costly to be economically deployable at scale, the decreasing cost of sensor systems and an increase in compute power to process the video has resulted in the broad adoption of vision systems. However, two modern trends threaten to stretch the capabilities of image processing sub systems to their breaking point. The first is the availability of ever higher resolution sensors that are capable of outputting video at higher frame rates resulting in much higher data rates. The second is the proliferation of artificial intelligence and machine learning, which enables computer systems to extract more intelligence from the video, although at the cost of significantly higher processing requirements. Only the very highest volume applications can support the considerable investment of custom designed video processing SoCs. For other applications, salvation is found with programmable logic. Efinix® FPGAs were designed with video processing applications in mind. They bring inherent parallelism and the possibility to design efficient pipelined architectures. They have embedded MIPI interfaces for natural connection to video sensors and an infinite combination of artificially intelligent processing systems can be instantiated in their programmable fabric. With low power consumption and cost effective silicon efficiency, Efinix Trion® FPGAs have been widely deployed in a broad range of video processing and surveillance applications where they provide image enhancement, feature extraction and artificially intelligent analysis of the video data. MOBILE AND IOT With the increased adoption of WiFi and the introduction of revolutionary wireless technologies such as 5G, there is no lack of data bandwidth right to the edge of the network. This, in turn, has led to an explosion in the number and diversity of connected devices. From wireless video doorbells to voice activated personal assistants to connected refrigerators it seems that every consumer device is connected to the internet and promises some level of intelligence. All of these connected devices share similar design challenges. They must operate on low power and in a small footprint, be flexible enough to adapt to changing standards and evolving technologies, and must be released in a timely manner to guarantee their share of this rapidly evolving market. The Quantum™ fabric lies at the heart of all Efinix® FPGAs and was designed from the ground up to deliver low-power operation with an area efficiency up to four times that of other FPGAs. The Trion® and Trion Titanium families comprises FPGAs with as few as 4,000 logic elements all the way up to 1000 LEs in the Ti1000. Their inherent area efficiency gives them a cost structure that can be taken into mass production ensuring a seamless transition from prototype to end product and a corresponding reduction in time to market. Hardened IP blocks such as MIPI for camera sensors reduces system bill of materials while the easily configured Quantum fabric delivers the compute power required for the most demanding artificial intelligence and machine learning applications. COMPUTE AND STORAGE Major challenges in the modern data center include an increasing diversity of workloads and an explosion in the volume of data being processed. To counter these trends, data center operators are increasingly turning to customizable hardware accelerators tailored to the particular workload and are attempting increase processing efficiency by moving compute to the data rather than data to the compute. The Efinix® Quantum™ fabric was designed to address these two trends. By deliberately decoupling the fabric from potential I/O resources, Efinix created a reconfigurable fabric accelerator. This fabric naturally lends itself to being embedded into other compute structures such as storage controllers and is easily configured as an adaptive compute accelerator. The Efinix Quantum fabric has been deployed as an accelerator in compute applications from consumer IoT to professional video surveillance and has been adapted to deliver compute horsepower in revolutionary in-situ storage architectures. WIRELESS AND INFRASTRUCTURE The rollout of 5G technology is set to redefine the way we think about wireless infrastructure. Cloud RAN deployments and multi-access edge compute resources running cloud native applications will deliver low latency, geographically relevant services. Whether it be the support infrastructure for self-driving vehicles, content delivery for mobile augmented reality, or low latency networking for industrial automation, the one common theme will be an enormous diversity in the types of workload and a demand for low latency. Hardware acceleration will be key to delivering on these requirements. By delivering a broad spectrum of compute and reconfigurability options in small footprints and with very low power consumption, Efinix® Trion® and Trion Titanium FPGAs are ideally suited to edge compute applications. From acceleration cards in the edge compute aggregation units themselves to AI and machine learning accelerators in the multitude of IoT devices that will connect to the network, Efinix FPGAs will be driving the revolution in wireless infrastructure. 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