Throughput
?Estimated TeraFLOPs/second. Based on TPU count, float type
(lower precision = higher potential FLOPs), interconnect
speed, torus knot twist (minor impact), and scaling efficiency
(drops slightly with more TPUs). Includes minor random
variation.:
0 TFLOPS
Efficiency
?Percentage of theoretical peak performance achieved.
Primarily affected by interconnect speed and scaling
efficiency (communication overhead increases with size). Torus
knot twist has a minor negative impact. Base is 95%, capped
between 50-98%. Includes minor random variation.:
0 %
Est. Latency
?Estimated communication latency in milliseconds. Increases
logarithmically with TPU count (more hops). Decreases with
better interconnects. Torus knot twist slightly reduces
latency (potentially shorter paths). Base is 5ms. Includes
minor random variation.:
0 ms
Est. Cost Factor
?Abstract relative cost. Primarily driven by the number of
TPUs. Better interconnects add a moderate cost increase. Lower
precision float types (FP8/INT8) slightly reduce cost factor,
FP32 slightly increases it. Includes minor random
variation.:
0
?Visuals:
- Each rectangle represents a simulated TPU.
- Color Intensity/Glow: Intensity and emission indicate
overall simulated network activity level (based on efficiency
metric).
- Base Color: Varies cyclically by TPU ID for visual
distinction.
Configuration
Record & Export
Hzs
Status: Idle
AI Analysis & Control
AI Configuration
AI Prediction (Current Config)
Est. Throughput:N/A
Est. Efficiency:N/A
Est. Cost Factor:N/A
AI Recommendation:Train the AI and click 'Find Best Config' to get a
recommendation.
Idle | Samples:
0?Number of data points (Config vs. Metrics) collected from the
live simulation used to train the AI estimator. More samples
generally lead to better estimations/recommendations. Training
occurs when manually triggered. Recommendations use the latest
trained model.