
FPGA Acceleration of Convolutional Neural Networks (CNNs)
White Paper FPGA Acceleration of Convolutional Neural Networks Overview Convolutional Neural Networks (CNNs) have been shown to be extremely effective at complex image recognition problems.
We design and manufacture enterprise-class acceleration hardware enabling customers to quickly deploy solutions with low risk.
From COTS PCIe boards to fully custom solutions, BittWare is your partner for hardware acceleration. Our silicon partners include Achronix, AMD, and Intel with their latest FPGAs and SoCs powering our enterprise-class cards, modules, and TeraBox™ servers.
Solutions Focus
Our solutions partners include AI/ML experts, as the market moves toward more optimized inference solutions.
We serve a range of markets with our acceleration solutions. Choose a market you’re interested in to learn more about how we can serve you!
From IP cores to deployment, our partners help you get to market faster with lower risk.
We are the only vendor-agnostic hardware provider of critical mass able to address demanding enterprise-class requirements for customers deploying solutions in volume.
White Paper FPGA Acceleration of Convolutional Neural Networks Overview Convolutional Neural Networks (CNNs) have been shown to be extremely effective at complex image recognition problems.
White Paper FPGA-Accelerated NVMe Storage Solutions Using the BittWare 250 series accelerators Overview In recent years, the migration towards NAND flash-based storage and the introduction
IA-440i 400G + PCIe Gen5 Single-Width Card Compact 400G Card with the Power of Agilex The Intel Agilex 7 I-Series FPGAs are optimized for applications
BittWare customer OVHcloud built a powerful anti-DDoS solution using FPGA technology, specifically the XUP-P3R card.