FPGA for AI Workloads
FPGA combined with AI algorithms opens up major engineering possibilities: you can tailor the architecture to the task, achieve high performance, and tightly control power consumption. Compared with conventional processors, FPGAs offer flexibility, parallel processing, and stable operation in changing real-world conditions.
Why FPGA for AI
A hardware-configurable architecture lets you adapt the solution to a specific model and data flow — without wasting time and resources on unnecessary operations.
A programmable architecture makes it easy to add FPGA resources as performance requirements grow — from a single chip to multiple devices in a slot or rack.
High performance at moderate power consumption, with stable operation under load and in harsh environments.
Real-time processing of large data sets by using on-chip memory and reducing access to external memory.
High memory bandwidth helps process large volumes of data quickly and reduces waiting time.
FPGA naturally executes many operations in parallel, which is well-suited to large neural networks and processing pipelines.
FPGA use cases in AI solutions
- Video transcoding and broadcastingReal-time UHD video processing, intelligent content categorisation for DTV platforms, AoIP for audio, AR/VR scenarios, and digital characters at the PoC stage.Next-generation test and measurementTest and measurement platforms, high-precision real-time equipment, advanced consumer devices with deep-display processing, intelligent transport, and embedded analytics.Automotive systemsIVI systems, ADAS and autonomous driving, onboard information systems, motor control algorithms, and fail-safe solutions aligned with ISO 26262.Industry and roboticsMachine vision for robots, high-precision drives, data centre accelerators, smart grids and factories, IoT gateways, HMI, onboard electronics for rail systems, and 3D printing.Medical devicesGenomics, hardware acceleration and data processing for molecular biology and pharma, ultrasound diagnostics, robotic surgery, multi-parameter monitors, ECG, and diagnostic equipment.Custom FPGA solutionsReal-time rendering, AI video processing, automatic image recognition and classification, frame stitching, embedded vision systems, face/gesture/sign detection, object counting, and smart home features.Technology stack
- Transceivers and RFAD9361, AD9371, ADRV9009, radar solutions, custom ADC/front ends, antennas
- Specialised toolsVitis/Vivado, Quartus Prime, Diamond, Libero, MATLAB
- Languages and toolsVerilog, VHDL, Vivado HLS, Simulink/HDL Coder, C/C++, Python
- Hardware designHigh-speed PCBs, DDR4, JESD204B, HDMI, SDI, SI, PI, thermal modelling
- Software platformsNVIDIA Jetson, Alveo, OpenVINO, TensorFlow, Keras, Caffe
- PlatformsZynq UltraScale+, RFSoC, Cyclone 10, ECP5, MPF500
- Network protocolsDPDK, UDP 10G, TCP 10G, TAP, L1/L2 IP cores
- Network interfaces1G, 10G, 25G/40G, 100G
Ready to discuss an AI + FPGA project? Message us — we’ll suggest the architecture, platform, and technology stack, and estimate the timeline and budgetOur officesMinsk20/11 Olshevskogo St., Room 27
220073 Minsk, Republic of BelarusInnopolisUniversitetskaya St., 7, room 7
420500, Innopolis, Republic of TatarstanContact us to discuss your engineering challengesWe will offer you the best solution!
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