The GUNZIP decompression accelerator provides an hardware-accelerated gunzip decompression. It can decompress archives that are compliant to the RFC 1952 GUNZIP File Format Specification, up to 10 times faster than CPU decompression.
FPGA-accelerated GUNZIP decompression
Remote or local execution facility
Reduced decompression latency
Support high speed decompression functions in real time
Simplify high speed decompression software architecture with single FPGA instance vs. multiple CPU instances
Reduced cost by
significantly decreasing processing time
using a single FPGA instance instead of 10’s of CPU instances
paying only for what you consume with cost based on data volume processed
saving operating costs for on-premise deployment by reducing power consumption
Use cases / Applications
Log Storage: decompress large log files
Genomics: decompress large Genome sequences
Our performance numbers are obtained when decompressing 1GB files (leading to 2.5GB uncompressed text files)
AWS EC2 F1
OVH Public Cloud
GUNZIP execution time
Our performance numbers are measured as end-to-endperformance running locally on the FPGA instance.
The time that elapses between the Start and the Stop corresponds to the FPGA elapsed time information that is returned when running the accelerator executable on the FPGA instance. This information is available after running the accelerator executable.
When using python REST APIs to run the accelerator remotely on FPGA instances, the end-to-end performance may be lower depending on the network between local machine and the remote FPGA instance
3 coin per 8GB processed For more details about pricing, please visit our FAQ page