Title: Week 13 Resources
Course: AIINFRA 302: AI Security, Guardrails & Governance > Section: Week 13 — GPU FinOps Foundations: Cost per 1,000 Requests and Right-Sizing

📚 Resources

- Title: NVIDIA: LLM Inference Benchmarking — cost methodology: URL: https://developer.nvidia.com/blog/llm-inference-benchmarking-how-much-does-your-llm-inference-cost/
- Title: 2025–2026 GPU cloud pricing benchmarks: URL: https://introl.com/blog/cost-per-token-llm-inference-optimization
- Title: LLM Total Cost of Ownership 2025: Build vs Buy Math: URL: https://www.ptolemay.com/post/llm-total-cost-of-ownership
- Title: vLLM benchmark CLI: URL: https://docs.vllm.ai/en/latest/benchmarking/cli/
- Title: Beyond Per-Token Pricing: Concurrency-Aware LLM Cost Estimation (arXiv): URL: https://arxiv.org/pdf/2606.11690
- Title: How to Reduce LLM Inference Costs Without Sacrificing SLA — Paralleliq: URL: https://www.paralleliq.ai/blog/gpu-ops-reduce-inference-costs

Week 14 · Fractional GPUs, MIG, Quantization, and KV-Cache Savings

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