Inference Infrastructure

What it is

Inference infrastructure is the runtime that serves model predictions. Done well, it hits your latency and cost targets at production scale. Done poorly, it bottlenecks the whole system. We deploy and tune inference for every customer environment we ship to.

What we deliver

• Inference server selection: vLLM, sglang, TGI, or custom
• GPU procurement and sizing guidance for customer infrastructure
• Autoscaling policies tuned to your traffic and cost budget
• Quantization strategies (FP16, INT8, INT4) where appropriate
• Speculative decoding and batching for high-throughput cases
• Per-tenant cost and latency observability

Why this matters

Open-weight models have closed the capability gap with closed-source models — but only if the inference infrastructure is competently deployed. The cost difference between a naive deployment and a tuned one is often 5-10x.