Frontier models aren’t open weight and _are_ incredibly heavy to run, but models do know how to setup rayserve or the like which is perfectly capable of running frontier models in the cloud.
September 12, 2026 at 6:46 PM
Frontier models aren’t open weight and _are_ incredibly heavy to run, but models do know how to setup rayserve or the like which is perfectly capable of running frontier models in the cloud.
Ray Serve Deep Learning Containersが拓くTorchServeワークロードの簡素化と最適化
Ray Serve DLCでTorchServeデプロイを効率化
#RayServe #TorchServe #DeepLearningContainers #MLOps #ModelServing
Ray Serve DLCでTorchServeデプロイを効率化
#RayServe #TorchServe #DeepLearningContainers #MLOps #ModelServing
Ray Serve Deep Learning Containersが拓くTorchServeワークロードの簡素化と最適化
Ray Serve DLCでTorchServeデプロイを効率化
ai.warp-studio.com
September 9, 2026 at 6:11 PM
Ray Serve Deep Learning Containersが拓くTorchServeワークロードの簡素化と最適化
Ray Serve DLCでTorchServeデプロイを効率化
#RayServe #TorchServe #DeepLearningContainers #MLOps #ModelServing
Ray Serve DLCでTorchServeデプロイを効率化
#RayServe #TorchServe #DeepLearningContainers #MLOps #ModelServing
🚀 Ray Serve boosts performance by up to 5x and reduces latency by 8x with new architectural optimizations and HAProxy integration. 🤖⚡️ #RayServe #LLM #Performance #Tech
Improving Ray Serve LLM on GKE throughput, latency | Google Cloud Blog
Through a partnership with Anyscale, Ray Serve LLM on GKE now offers 5x higher throughput and 8x lower latency for distributed inference.
cloud.google.com
June 29, 2026 at 10:40 AM
🚀 Ray Serve boosts performance by up to 5x and reduces latency by 8x with new architectural optimizations and HAProxy integration. 🤖⚡️ #RayServe #LLM #Performance #Tech
Super excited to be speaking at #KubeConNA2024!
Join me for my session Supercharging GenAI: Ray, Kubernetes, and TPUs for Lightning-Fast Inference on 14th November, 12:35 PM. We'll be diving into using TPu and rayserve to radically scale your #GenAI inference on #GCP with models like #Gemma
Join me for my session Supercharging GenAI: Ray, Kubernetes, and TPUs for Lightning-Fast Inference on 14th November, 12:35 PM. We'll be diving into using TPu and rayserve to radically scale your #GenAI inference on #GCP with models like #Gemma
November 13, 2024 at 3:40 PM
Super excited to be speaking at #KubeConNA2024!
Join me for my session Supercharging GenAI: Ray, Kubernetes, and TPUs for Lightning-Fast Inference on 14th November, 12:35 PM. We'll be diving into using TPu and rayserve to radically scale your #GenAI inference on #GCP with models like #Gemma
Join me for my session Supercharging GenAI: Ray, Kubernetes, and TPUs for Lightning-Fast Inference on 14th November, 12:35 PM. We'll be diving into using TPu and rayserve to radically scale your #GenAI inference on #GCP with models like #Gemma