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In the fiercely competitive field of global multimodal document parsing, Baidu's PaddleOCR-VL model has made a significant impact. This lightweight multimodal model, with only 0.9B parameters, not only topped the OmniDocBench V1.5 leaderboard with a comprehensive score of 92.6 but also achieved state-of-the-art (SOTA) results in four core capab ...

GPUStack v2 has been completely redesigned with a focus on high-performance inference and production-grade stability. The architecture now features flexible component decoupling and deep optimization for multiple inference engines and heterogeneous computing resources, fully unleasshing the performance potential of inference engines in throughp ...

Managing heterogeneous accelerators for Retrieval-Augmented Generation pipelines requires a unified serving layer. GPUStack provides an open-source infrastructure to aggregate NVIDIA, Apple Silicon, Ascend, and Moore Threads hardware into a single cluster, enabling on-premise deployment of the three foundational components for RAG: conversation ...

The recent release of Gemma 4 introduces models that compete with Qwen 3.5, offering enhanced reasoning, native multi-modal understanding, and agentic features like tool calling and structured output. The model family supports text, image, video, and audio inputs with a 128K-256K context window, depending on the variant. This walkthrough covers ...

While vLLM commonly relies on Ray for distributed multi-node inference, it is possible to achieve cross-node coordination without an external scheduler by combining data parallelism (DP) and tensor parallelism (TP). This article walks through a concrete deployment on two Atlas 800I A2 servers (each with 8× Ascend 910B 64 GB) using the quantized ...

System Requirements This guide covers deploying Qwen3 models on an Ubuntu 22.04 cloud instance equipped with an NVIDIA A10 GPU (24GB VRAM). The setup requires network connectivity for downloading container images and model files. Environment Verification Confirm GPU availability: lspci | grep -i nvidia gcc --version NVIDIA Driver Installation ...

Deploying large-scale models on Ascend NPUs often presents a significant challenge due to the complexity of configuring distributed inference using the standard MindIE engine. Although its performance is acceptable, the setup process involves intricate steps such as environment preparation, initialization, and fine-tuning of parameters. Even mi ...