scorevision: push artifact

chute_config.yml

@@ -2,22 +2,26 @@ Image:
   from_base: parachutes/python:3.12
   run_command:
     - pip install --upgrade setuptools wheel
-    # Versions must match the training env (ultralytics 8.4.x / torch 2.x):
-    # a model saved by 8.4 will not reliably load under the template's old 8.2.40 pin.
+    # must match the training env (ultralytics 8.4.x) or the weights won't load
     - pip install huggingface_hub ultralytics==8.4.112 torch opencv-python-headless
   set_workdir: /app
 
 NodeSelector:
   gpu_count: 1
-  # Chutes requires TEE for integrated subnet chutes, and TEE is only
-  # available on pro_6000 nodes:
-  #   "TEE with node_selector include=['pro_6000'] is required now for
-  #    integrated subnet chutes."
+  # TEE is mandatory for integrated subnet chutes, and TEE only runs on pro_6000
   include:
     - pro_6000
 
 Chute:
-  shutdown_after_seconds: 300
+  # Scoring windows open every 300 blocks (~60 min) at first_block + k*300.
+  # warm_scheduler.py wakes the chute ~8 min before each boundary; this value
+  # then keeps it alive ~20 min so it comfortably covers the challenge, and
+  # lets it scale to zero for the remaining ~40 min. Idling costs $1.80/h, so
+  # this roughly a third of the 24/7 bill while still answering every window.
+  # (The default 300s was too short: every challenge paid a cold start and
+  # blew the element's ~100ms latency target, which is why we scored nothing.)
+  shutdown_after_seconds: 1200
   concurrency: 4
-  max_instances: 5
-  scaling_threshold: 0.5
+  max_instances: 2
+  # scale up early rather than queueing behind a busy instance
+  scaling_threshold: 0.25