GOES Radar Estimation via Machine Learning to Inform NWP (GREMLIN) imagery is now available on CIRA SLIDER. GREMLIN provides synthetic composite radar reflectivity from GOES ABI and GLM data fusion using a convolutional neural network trained to the Multi-Radar Multi-Sensor (MRMS) product. GREMLIN is available for both GOES-East and GOES-West. GREMLIN Full Disk processing is running on the AWS-based NOAA GeoCloud service and the NetCDF files are pulled from an S3 bucket to CIRA for display in SLIDER. (POC: Kyle Hilburn, CIRA, kyle.hilburn@colostate.edu; Curtis Seaman, CIRA, curtis.seaman@colostate.edu; Zayd Amundson, CIRA, zayd.amundson@colostate.edu; Joe Zajic, TOWR-S, joe.zajic@noaa.gov; Funding: GOES-R).