Data is the new oil, but moving that oil around can be a logistical nightmare. Modern Data Science and Machine Learning projects involve massive binaries that break standard collaboration tools.
GitHub restricts files to 100MB. Email is non-existent. Setting up a shared S3 bucket for an external collaborator takes too many emails to IT.
The Data Problem: "Model Too Large"
- Repo Bloat: Committing a 2GB
.csvor a 500MB.h5model file to Git is a bad practice that slows down cloning for everyone. - Training Data: Sharing a folder of 50,000 images for a Computer Vision project requires massive bandwidth and stability.
- Reproducibility: To reproduce a result, your colleague needs the exact dataset you used, not a downsampled version.
The Solution: SendGB for Data Ops
SendGB is the friction-free pipeline for your heavy data artifacts. Move your models and datasets from your local machine to the cloud or a colleague instantly.
Why AI & Data Pros Use SendGB?
1. Bypass GitHub Limits
Keep your code in Git, but put your heavy assets in SendGB. Just include the SendGB download link in your README.md or share it via Slack. It keeps your repository clean and fast.
2. Transfer Huge Training Sets
Whether it's a 20GB SQL dump or a folder containing 100k JSON files, drag and drop the whole directory. We zip it (optional) and stream it at maximum speed.
3. Secure Model Sharing
You've spent weeks training a proprietary model. Don't send it via an insecure channel.
- Password Protect: Lock the download link.
- Ephemeral: Set the link to expire after 1 day. Once the recipient has it, it's gone from the cloud.
4. Cross-Platform Compatibility
Sending data from a Linux server to a Windows analyst? SendGB works in any browser. No CLI tools or OS-specific dependencies required.
Essential for Every Data Role
- Computer Vision: Share massive folders of raw images or video for annotation.
- NLP: Transfer huge text corpora and word embedding vectors.
- Bioinformatics: Move heavy genomic sequencing data (.FASTQ, .BAM) securely.
- Analysts: Send consolidated PowerBI or Tableau data sources to stakeholders.
Supports All Data Formats
- Models: .h5, .pt, .onnx, .pkl, .model
- Data: .csv, .json, .parquet, .avro, .sql
- Archives: .tar.gz, .zip, .7z
- Notebooks: .ipynb (with heavy outputs)
Focus on the algorithm, not the file transfer.