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Enterprise AI Infrastructure
On-Prem LLM
Cost Optimization
Measuring on-prem LLM performance and token economics to help enterprises cut AI spend without sacrificing quality.
Focus areas
Performance Benchmarks
Comparing open-weight models against frontier APIs on latency, throughput, and quality.
Total Cost of Ownership
Clear TCO models for on-prem vs. API at realistic usage volumes.
Serving & Quantization
vLLM, TGI, and INT8/INT4 strategies that stretch GPU capacity.
Hybrid Routing
Sending easy tokens on-prem and hard ones to frontier APIs for most of the savings.
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