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
Feat/new model manager
Checks
CodeQL
e2e-tests⚠️
integration-tests⚠️
build-dev-test⚠️
build-dev-test⚠️
build-dev-test⚠️
build-dev-test⚠️
build-dev-test⚠️
Socket Security: Pull Request Alerts
Socket Security: Project Report
call_is_mergeable / Check if branch is mergeable
call_is_mergeable / Check if branch is mergeable
call_is_mergeable / Check if branch is mergeable
call_is_mergeable / Check if branch is mergeable
torch_models:3.10
onnx_extras:3.11
torch_models:3.11
call_is_mergeable / Check if branch is mergeable
onnx_extras:3.12
onnx_extras:3.10
torch_models:3.12
call_is_mergeable / Check if branch is mergeable
unit-tests-inference-models (3.12)
unit-tests-inference-models (3.10)
unit-tests-inference-models (3.11)
build-dev-test
Analyze (javascript-typescript)
Analyze (python)
Analyze (actions)
chore(deps-dev): bump esbuild from 0.25.0 to 0.28.1 in /theme_build in the npm_and_yarn group across 1 directory
chore(deps): bump tornado from 6.5.5 to 6.5.6 in /inference_models in the uv group across 1 directory
Add Switch Case flow-control block with per-case execution branches
rfdetr-seg: Pipelining Optimization (Jetson Orin NX 8GB) [Includes changes from #2403, #2404]
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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