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Stop overpaying for LLM serving: intelligently routing requests to specialized pools based on token budget slashes GPU costs by up to 42% and dramatically improves reliability.
Forget buying new GPUs – clever context-length routing can boost your LLM inference energy efficiency by 2.5x, dwarfing the 1.7x gain from upgrading to a B200.
Seemingly idle LLM inference fleets can be secretly broken, and this simulator helps you find out why before you buy.
LLM GPU fleets can be analytically optimized into a two-pool architecture with gateway-layer compression, slashing costs by up to 82% without sacrificing latency.
