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Kuaishou Tech
Kuaishou Tech
Jul 18, 2024 · Artificial Intelligence

Multidimensional Preference Model (MPS) for Text-to-Image Generation: Dataset, Architecture, and Experimental Analysis

This article introduces the Multidimensional Preference Model (MPS), the first multi‑dimensional scoring system for evaluating text‑to‑image generation, built on the newly released MHP dataset with extensive human annotations across aesthetic, semantic alignment, detail quality, and overall preference dimensions, and demonstrates its superior performance through comprehensive experiments and RLHF integration.

MHP datasetMPSRLHF
0 likes · 10 min read
Multidimensional Preference Model (MPS) for Text-to-Image Generation: Dataset, Architecture, and Experimental Analysis
Cloud Native Technology Community
Cloud Native Technology Community
Mar 11, 2024 · Cloud Native

Harnessing Nvidia GPUs in Kubernetes: Virtualization, Scheduling & Best Practices

This article explains how to combine Nvidia GPUs with Kubernetes, covering CUDA toolkits, device plugins, GPU virtualization techniques such as Time‑Slicing, MPS and MIG, and advanced scheduling options like Volcano, while also outlining practical deployment steps and performance considerations.

Cloud NativeDevice PluginGPU virtualization
0 likes · 22 min read
Harnessing Nvidia GPUs in Kubernetes: Virtualization, Scheduling & Best Practices
Python Programming Learning Circle
Python Programming Learning Circle
Mar 22, 2023 · Artificial Intelligence

Overview of PyTorch 2.0 Features and New APIs

The article provides a detailed overview of PyTorch 2.0, highlighting its stable and beta features such as torch.compile, accelerated transformers, MPS backend, new quantization support, and prototype parallelism tools, while emphasizing performance improvements for dynamic shapes, distributed training, and CPU/GPU inference.

AIAccelerated TransformersDeep Learning
0 likes · 6 min read
Overview of PyTorch 2.0 Features and New APIs
DataFunSummit
DataFunSummit
Nov 3, 2022 · Artificial Intelligence

Applying NVIDIA MPS to Boost GPU Utilization for Recommendation Inference

This article explains why traditional CPU inference and naïve GPU usage are inefficient for recommendation workloads, introduces NVIDIA Multi‑Process Service (MPS) technology, describes VIVO's custom Rust‑based inference engine and deployment strategies, and presents performance and cost benefits along with practical deployment considerations.

GPU inferenceKubernetesMPS
0 likes · 13 min read
Applying NVIDIA MPS to Boost GPU Utilization for Recommendation Inference
Baidu Geek Talk
Baidu Geek Talk
Jul 18, 2022 · Artificial Intelligence

GPU Container Virtualization for AI Heterogeneous Computing: Architecture and Best Practices

The article surveys GPU container virtualization for AI heterogeneous computing, detailing utilization challenges, historical architectures, various virtualization methods, Baidu's dual-engine user- and kernel-space design with isolation and scheduling features, performance benefits, best‑practice scenarios, and deployment guidance, concluding with a technical Q&A.

AI computingGPU virtualizationMPS
0 likes · 30 min read
GPU Container Virtualization for AI Heterogeneous Computing: Architecture and Best Practices