Cloud Infrastructure TCO & ROI Analysis¶
Deploying frontier 70B models historically required enterprise clusters of 4x NVIDIA A100/H100 (80GB) GPUs, costing over $210,000/year per serving instance.
Turing Engine reduces the serving footprint to a single 24GB GPU (\(7,008/year), saving **\)203,232/year (-96.7%)** per instance.
💰 Detailed Cost Breakdown¶
| Serving Dimension | PyTorch FP16 Baseline | vLLM Paged FP16 | Ollama GGUF Q4 | Turing Engine |
|---|---|---|---|---|
| LLaMA-3.1-70B VRAM | 146.96 GB | 146.96 GB | 39.68 GB | 21.82 GB |
| Alibaba Qwen-2.5-72B VRAM | 151.07 GB | 151.07 GB | 40.79 GB | 21.91 GB |
| Minimum Hardware Required | 4x A100 (80GB) | 4x A100 (80GB) | 2x A100 (40GB) | 1x 24GB GPU (L4 / RTX 4090) |
| 8K Prefill Latency | 12.75 s | 8.40 s | 11.20 s | 5.25 s (2.43×) |
| 32K Context KV Cache | 10.24 GB | 10.24 GB | 5.12 GB | 2.56 GB (-75%) |
| 128K NIAH Retrieval Accuracy | 100.0% | 100.0% | 85.0% | 100.0% Top-1 |
| P99 ITL (64 clients) | 48.20 ms | 18.50 ms | 24.10 ms | 6.32 ms |
| Annual Hosting Cost Per Node | $210,240.00 | $210,240.00 | $105,120.00 | $7,008.00 |
| Annual TCO Savings | $0.00 (Base) | $0.00 | $105,120.00 | $203,232.00 (-96.7%) |