CUDA-X Pipeline Optimizer & Acceleration Stack Explorer

Select Workload Archetype Preset Active: LLM Multi-GPU Pre-training & Inference

Target GPU Architecture H100 SXM5 • 80GB

GPU Cluster Scale NVLink 4 (900 GB/s)

Precision & Tensor Core Mode FP8 Transformer Engine

Batch / Problem Scale 256 tokens

Interactive Compute Pipeline Builder

Accelerated: 4 CUDA-X Nodes

Pipeline Ingest: Token Embeddings (128k context)

Bottleneck: Compute Bound (Tensor Cores)

Performance & Speedup Telemetry

FP8 Accelerated

End-to-End Latency 12.4 ms ↓ 86.2% vs CPU

Total Speedup 18.4x vs Host CPU Baseline

Effective Throughput 842 TFLOPs 85.4% TC Peak

Energy Efficiency 2.41 GFLOP/J +620% Perf/Watt

Dynamic Roofline Model Visualizer

AI = 142 FLOPs/Byte