Cost-conscious scale-up
For: Engineering teams optimising infra spend
Before scaling out, reclaim headroom on the hot paths. Fast LiteLLM's faster connection pooling and dramatically lower rate-limit memory let a fixed fleet absorb more traffic — with reproducible benchmarks so you can verify the gain on your own workload.
The problem
- →Adding instances is the default response to load
- →Memory pressure forces larger instance types
- →Hard to justify infra changes without measured impact
How Fast LiteLLM helps
Reclaim CPU
Faster connection pooling and tokenization free up request-path CPU.
Reclaim memory
42× less rate-limit memory at high cardinality can let you stay on smaller instances.
Prove it
Run the published benchmark harness against your workload before you commit.
Honest caveat: Gains depend on your bottleneck. If you are not CPU- or memory-bound on these paths, savings will be modest — we say so on the benchmarks page.
See if it fits your workload
Open source, MIT, one import line. Reproduce the benchmarks on your own traffic before you commit.