GPU-aware inference mesh for large-scale AI serving
GPU-accelerated LLaMA inference wrapper for legacy Vulkan-capable systems a Pythonic way to run AI with knowledge (Ilm) on fire (Vulkan).
🚀 ClipServe: A fast API server for embedding text, images, and performing zero-shot classification using OpenAI’s CLIP model. Powered by FastAPI, Redis, and CUDA for lightning-fast, scalable AI applications. Transform texts and images into embeddings or classify images with custom labels—all through easy-to-use endpoints. 🌐📊
Docker based GPU inference of machine learning models
Generating images with diffusion models on a mobile device, with an intranet GPU box as backend
End-to-end scalable ML inference on EKS: KEDA-driven pod autoscaling with Prometheus custom metrics, Cluster Autoscaler for GPU node scaling, and NVIDIA GPU time-slicing to run multiple pods per GPU.
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