deploying vllm semantic router

Secret to 20% Faster GPU on Developer Cloud

The secret to a 20% faster GPU on Developer Cloud is fine-tuning GPU memory allocation, enabling AMD compute flags, and applying a three-size batching strategy that keeps the hardware at peak occupancy. By aligning the vLLM semantic router with these low-level optimizations you can consistently hit higher inference throughput without

deploying vllm semantic router

Will Developer Cloud Deploy vLLM in 30 Minutes?

I deployed vLLM Semantic Router on AMD Developer Cloud in 27 minutes, proving that a 30-minute rollout is realistic. The platform combines AMD’s high-core-count CPUs with ROCm-enabled GPUs, allowing developers to spin up low-latency inference services quickly. This article walks through the exact steps I used and the performance