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Pure Edge Computation
Sparse Mixture of Experts (MoE) VRAM & Bandwidth Sizer
Calculates memory footprint and memory-bandwidth scaling for sparse Mixture of Experts (MoE) LLMs across H100/H200 SXM5 clusters.
Formula:
VRAM_weights = Total_Params * Precision; Active_Bytes = Active_Params * Precision; Bandwidth_Req = Active_Bytes * Target_TPS
Model Parameters
Outputs & Underwriting Summary
Calculation Status
OPTIMIZED SPARSE MOE CLUSTER
Verified Model
Total Model Weights VRAM
671.0 GB
Active Parameters: 37.0 GB / token
Required Memory Bandwidth
1,480.0 GB/s
Minimum Cluster: 9x 80GB SXM5 GPUs
Holding 671B parameters in 1.0-byte precision requires 671.0 GB VRAM across minimum 9x 80GB GPUs. Activating 37B weights per token demands 1480.0 GB/s memory bandwidth to deliver 40 tokens/sec.
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