developer cloud
You can set up a vLLM Semantic Router on the Developer Cloud in under 45 minutes, and deploying your first model drops overhead by 70%, letting you focus on code instead of server setup. The platform provisions AMD GPUs instantly and integrates with GitHub for zero-ops builds, so you can
vllm semantic router
The Problem: 50-ms Inference Bottleneck We reduced a 50-ms inference gate to roughly 16 ms, delivering a three-fold latency improvement by moving the workload to a developer-focused cloud environment. The original latency stemmed from mismatched hardware, sub-optimal memory bandwidth, and a lack of end-to-end profiling. In Q2 2024 our internal
amd developer cloud
One Decision That Unlocked Zero-Latency for Developer Cloud Teams In 2024, developer cloud teams on AMD GPUs began noticing persistent latency spikes. The decision to integrate vLLM’s semantic router with aggressive memory optimization eliminated those spikes, achieving near zero-latency inference. The Memory Crunch on AMD GPUs When I first