Case Studies

Measured AI infrastructure and inference optimization work.

Production AI teams use NavyaAI to reduce LLM serving cost, improve throughput, and make GPU capacity planning match real traffic instead of guesswork.

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Llama 3 70B inference audit: from overprovisioned GPUs to leaner production capacity.

An anonymized high-volume deployment reduced cost per million tokens by 42% after quantization, KV-cache tuning, batching changes, and a more accurate GPU capacity plan.

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Outcomes

42% lower cost per million tokens
2.3x higher sustained throughput
$19K monthly infrastructure spend removed

Want the same math on your own AI workload?

Send token volume, model family, latency target, and current monthly spend. NavyaAI will identify the fastest path to lower unit economics.

Request an Inference Audit