🚀 The team behind continuous batching is urging operators to put idle GPUs to work on inference. Learn how this boosts token throughput, taps spot GPU markets, and why providers like CoreWeave, Lambda Labs, and RunPod are taking note. Could your workloads run cheaper and faster? Dive in for the details. #GPUInference #ContinuousBatching #SpotGPUMarkets #InferenceSense

🔗 https://aidailypost.com/news/team-behind-continuous-batching-urges-operators-run-inference-idle

vLLM now powers high‑throughput inference with its new PagedAttention engine, cutting latency and boosting GPU utilization. Continuous batching lets you serve OpenAI‑scale workloads in production without sacrificing cost. Dive into how this open‑source stack reshapes large‑model serving. #vLLM #PagedAttention #GPUInference #MLInference

🔗 https://aidailypost.com/news/vllm-boosts-production-inference-through-high-throughput