---
title: "Tar saved Unix backups in 1979. Now it saves your dataloader."
url: https://daily.dev/posts/tar-saved-unix-backups-in-1979-now-it-saves-your-dataloader--zdcgqk8hp
source_url: https://www.tigrisdata.com/blog/bundle-api
type: article
source: "Tigris"
published: 2026-06-16T17:43:20.553Z
updated: 2026-06-17T15:52:10.491Z
tags: ["machine-learning"]
reading_time: 8
upvotes: 0
comments: 0
language: en
---

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# Tar saved Unix backups in 1979. Now it saves your dataloader.

**[Tigris](https://daily.dev/sources/tigris)** · 8 min read · 0 upvotes · 0 comments

## Summary

Tigris has introduced a bundle API that lets you fetch thousands of objects from object storage in a single HTTP request, returning them as a streaming tar archive. This directly addresses the ML training bottleneck where dataloaders need thousands of small files per batch but object storage forces one GET per object. The post explains the latency math (4,000 sequential GETs at 30ms each = 120 seconds vs. one round trip), how the streaming tar format works server-side without buffering, error handling via skip/fail modes, limits (5,000 keys, 50 GB, 15-min timeout), and includes SDK examples for Python, Go, JavaScript, and cURL, plus a PyTorch IterableDataset integration example.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.tigrisdata.com/blog/bundle-api>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning)

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