
NVMe High-Speed Data Capture and Recorder
ARCHITECTURAL CONCEPTS NVMe High-Speed Data Capture and Recorder The Data Capture and Recording Challenge There are many streaming data sources customers want to capture or
Well suited to a range of applications in financial services, with deployment scenarios ranging from co-location to offline, the Myrtle.ai MAU Accelerator is provided as IP to run on the latest FPGAs.
Myrtle.ai has considerable experience in efficient hardware-acceleration of ML models, such as RNN and LSTM networks, using FPGA accelerator cards. These are designed to achieve the highest throughput and lowest cost for inference workloads with very tight latency constraints.
The MAU Accelerator reference design can be run on a range of BittWare products featuring Intel and Xilinx FPGAs. For deployment, we recommend the ultra-high density TeraBox 1401B, with four cards and an AMD EPYC CPU.
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ARCHITECTURAL CONCEPTS NVMe High-Speed Data Capture and Recorder The Data Capture and Recording Challenge There are many streaming data sources customers want to capture or
PCIe FPGA Card 250-SoC Directly Attached Accelerator & NVMe-over-Fabric Reliable transport of NVMe frames with low latency and high throughput Need a Price Quote? Jump
White Paper Synthetic Traffic Generator Reference Design Overview Synthetic traffic generators enable lab testing of FPGA designs with network ports. There are other applications, but
REFERENCE DESIGN MAU Accelerator for AI Financial Trading Models Ultra-low Latency, High Throughput Machine Learning Inference Well suited to a range of applications in financial