{"schema_version":1,"forecast_id":"forecast-7cf5c38e560981d3c9b4443387fd201ad7f1f9361666da14045c34b91683c6b4","checks":1,"status":"unresolved","next_check":"2026-10-26","dossier":{"run_id":"20260926T223703-ea03f096b65e402580f063d9f521dc9b","entry_sha256":"42d2a279e960aefe906b004b368b16283a45adcf2f7b755545ab100556cfe7e8","finished_on":"2026-09-26","commit":"920e98e776d9ea2bd826e094c30efada5c16dcc7"},"unmet_condition":{"key":"reading.residual-036eb364434e797a06225d67f23be84412a003097e5fccd63c45c6e94c6dacc4","text":"\"Mega-scale model training on GB200 NVL72 at production scale\" is measured at the cluster: a training run, pre- or post-training, for a frontier-model programme on a GB200 NVL72 cluster of at least 10,000 GPUs. Per-job GPU counts are rarely reported; cluster scale is."},"review":{"entry_sha256":"bbfa6259179350b83d09f4d0d6430d9f8830034965476a8f5f50fdeb653f8097","recorded_on":"2026-09-26","commit":"9fb75f1af3189c6ad3db2818ed890e067ea07cd1"}}