Solving bottlenecks with acceleration and data acquisition cards
FPGA-based accelerators convert data for transmission and downstream computation. Bottlenecks for sensors, networks and compute applications can be addressed with BittWare's FPGA-based acquisition accelerator cards address bottlenecks for sensors.
Sensors
As sensors improve their resolution, using their data requires specialized processing that won’t introduce latency or interfere with signal integrity.
Satellite
The ecosystem of FPGA and ASIC-based AI solutions is optimized for scalable inference, helping you scale up to datacenter-grade sensor processors or maximize edge performance per watt.
Cameras
High-resolution cameras for industrial machine vision create very large video files that must be processed quickly by accelerated hardware for real-time decisions.
XUP-P3R
High performance, wide bandwidth for massive data flow
RFX-8440A
Analog data acquisition from 30 MHz to 6 GHz – 5G, LTE, phased array radar, and satellite
RFX-8440L
L-band data acquisition (1-2 GHz) for satcom and cellular applications. Can be attached directly to an L-band antenna
Network
Networks move more data than ever before, requiring robust monitoring for errors or malicious activity.
Cybersecurity
Every packet passing through a company’s network must be checked for malicious or erroneous content. Accelerated hardware can capture and catalog packets without slowdowns.
Data center
Data centers use multiple computers simultaneously that needto pass large amounts of data between each other. Hardware-accelerated Ethernet enables data to flow quickly between computers.
IA-440i
Lossless packet capture monitors every packet passing through a network without interfering with network operations
IA-780i
Compute-intensive applications benefit by offloading rigorous tasks to purpose-built accelerators
Compute
Compute-intensive applications offload rigorous tasks to purpose-built accelerators
Data centers running massive machine learning algorithms require their computers to run many operations. By offloading to FPGA accelerators that can be optimized for specific operations, systems are able to perform them faster than a CPU or GPU.
XUP-VV8
3.8M logic cells provide powerful resources for computing applications
AV-870p Versal
High bandwidth and compute density for exceptional performance in demanding data center and edge applications
