as machine learning models grow, data centers expand to keep up — but bigger isn’t always better.
the world's smallest data center
in the heart of san francisco, you can find the world's smallest data center.
our in-house localized data center reduces latency, enabling real-time processing and direct control. we're proving that the right setup even at a small scale can achieve powerful AI performance without a massive footprint.
about lil data center
the world's smallest data center was started to power Roboflow's testing and benchmarking infrastructure.
while small, our data center runs over 1,000 test jobs per week for open source projects.
lil data center runs:
Device Type:
Nvidia Jetson Orin Nano (Seeed)
Status:
Online
Running:
Benchmark Tests
Device Type:
Raspberry Pi 5
Status:
Online
Running:
Benchmark Tests
Device Type:
Mac Mini M4
Status:
Online
Running:
Benchmark Tests
Device Type:
Signed Jensen RTX 4080
Status:
Online
Running:
Benchmarking Tests
recent tests
these pull requests are for to open source inference repository, which runs tests and benchmarks via the lil data center. this includes benchmarking SOTA models like PaliGemma, Florence-2, OwlV2, and many more. see all supported models
Fixing the address of jupyterlab in the Readme
Checks
Bump next from 15.2.3 to 15.2.4 in /inference/landing in the npm_and_yarn group across 1 directory
easy debug
⚡️ Speed up function `collect_func_params` by 392%
Add env variable to block QWEN
models benchmarked @ lil data center
YOLOv11
CLIP
Owlv2
YOLO-NAS
LCS2S-Net
DocTR
YOLOv10
SAM2
Grounding DINO
YOLOv9
TrOCR
SAM
PaliGemma
YOLOv8
Florence-2
YOLOv7
YOLO-World
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