Product

Research infrastructure, in one console

Connect the machines or cloud servers your team already uses. The platform launches runs, watches them, recovers failures, and records each result with the exact code and data behind it. The console below uses sample data; click around.

Project: training-sweeps · 7 runs
lr-sweep / lr=1e-4exp-101 · gpu-node-03done
lr-sweep / lr=3e-4exp-102 · gpu-node-04done
lr-sweep / lr=1e-3exp-103 · gpu-node-04failed
batch-size / 64exp-104 · gpu-node-01running
batch-size / 128exp-105 · gpu-node-02running
batch-size / 256exp-106 · —queued
data-v13 / baselineexp-107 · gpu-node-05failed

lr-sweep / lr=1e-3

exp-103 · failed
Machine
gpu-node-04
Last checkpoint
step 3000
Code version
9f3a1c2
Data version
v12
Result (loss)
—

Failed: Out of memory at step 3120

[queue] exp-103 submitted
[start] on gpu-node-04
[error] Out of memory at step 3120
[saved] step 3000

Your machines or ours

Run on your own servers, a cloud account, or a mix. Offered as a cloud service or installed on-premises.

Checkable results

Every number links to the code version and data version that produced it, so a colleague can verify it without re-running.

Shared history

Teammates can see what has already been tried before starting new work, which avoids repeated runs.