437 related articles
Tech FrontiersOpen-source AI voice project Dia hits 5,000 GitHub stars in one day, built by two undergrads in 3 months. Its 1.6B parameters achieve near real-time dual-speaker dialogue rivaling Google NotebookLM.
TutorialsLearn HuggingFace Transformers core usage: pretrained model download, Pipeline API for sentiment analysis, Tokenizer principles, model inference with Softmax, and saving workflows with Python examples.
Tech FrontiersOpenAI partners with SoftBank and Oracle on the $500B Stargate project in Abilene, Texas. Deep dive into site selection, computing scale, jobs, and AI strategy.
Product ReviewsIn-depth hands-on test of Tencent's open-source Pixal3D 3D generation model, analyzing pixel-level alignment technology with multi-model comparisons against Trellis 2, Hunyuan, and Tripl3.
Deep DivesDeep analysis of Windsurf seamless account-switching plugin's technical implementation, revealing risks of account bans, code theft, and legal liability. Four compliant alternatives for developers.
TutorialsA beginner's guide to physical AI robot development covering the complete tech stack from GPU hardware, Linux, Python, deep learning, computer vision to ROS2, with a clear learning roadmap.
Deep DivesExplore how the XANI project uses NVIDIA GPUs to accelerate XFEL data analysis, compressing nanoscale imaging from days to hours and advancing fusion materials and semiconductor research.
TutorialsDeep dive into NVIDIA NCCL multi-GPU communication library principles and optimization strategies, covering AllReduce, NVLink, and GPUDirect RDMA to help HPC and AI developers master scaling from single-node to massive clusters.
TutorialsDeep dive into how Slurm block scheduling maximizes NVIDIA GB200 NVL72 rack-level NVLink performance through topology-aware allocation, reducing fragmentation and boosting GPU utilization by 15-25%.
TutorialsDeep dive into NVIDIA NCCL Inspector for real-time GPU cluster communication monitoring with Prometheus integration, covering straggler detection, alerting, and Grafana visualization for distributed training optimization.
TutorialsA deep dive into NVIDIA Model Optimizer's PTQ workflow, covering INT8/INT4 quantization principles, calibration methods, RTX GPU optimization, and best practices for deploying quantized LLMs on consumer GPUs.
Deep DivesDeep dive into how the MARVIS project deploys LLM agents on spacecraft, covering agent architecture, edge hardware token performance benchmarks, expert evaluations, and space AI benchmark planning.
Deep DivesDeep dive into pipeline friction in AI model deployment from training to production, covering TensorRT automated optimization, ONNX export, and Triton Inference Server best practices.
Deep DivesDeep dive into NVIDIA Fleet Intelligence for GPU clusters: real-time visualization, AI anomaly detection, utilization optimization, and energy management to boost large-scale GPU infrastructure efficiency.
TutorialsDeep dive into Grammar-Constrained Decoding (GCD) technology: applying Bash syntax constraints during inference to dramatically improve small language models' code generation correctness and executability for AI Agent edge deployment.
Deep DivesDeep dive into NVIDIA Dynamo's multi-turn agentic interaction support, covering streaming token output, structured tool calling, state management, and MoE synergy for production-grade AI agents.
Product ReviewsDeep analysis of the GitHub project awesome-LLM-resources covering multimodal generation, AI Agents, MCP protocol, model training/inference, o1 models, and SLMs—a community-verified 8200+ Star LLM learning resource hub.
Product ReviewsDeep analysis of the awesome-LLM-resources project (8200+ GitHub Stars), covering multimodal AI, Agents, MCP protocol, model training, o1 reasoning, SLMs, and more for LLM practitioners.
Product ReviewsDeep dive into Cube Studio, Tencent Music's open-source one-stop AI platform, covering architecture design, distributed training, large model fine-tuning and inference, and domestic chip adaptation.
Deep DivesComprehensive guide to Hugging Face Transformers, the 160K-star GitHub framework—covering architecture, multimodal support, quantization, and inference optimization for loading, fine-tuning, and deploying pre-trained models.