A performance engineering hub for running LLMs efficiently: runtime behavior, bottlenecks, benchmarks, and the real constraints that shape throughput and latency.
Strategic guide to hosting large language models locally, on consumer hardware, in containers, or in the cloud. Compare tools, performance trade-offs, and cost considerations.