#tensor parallelism
138 related articles
Industry Insights·2 min
NVIDIA Blackwell Sets New STAC-AI Records for Financial LLM Inference
NVIDIA Blackwell GPU sets new LLM inference records in STAC-AI financial benchmark. Explore Blackwell architecture advantages, TensorRT-LLM co-optimization, and LLM applications in trading and risk management.
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Product Reviews·2 min
GLM 5.1 Flagship Model Tested at 400 TPS — From Sketch to Complete App in Two Minutes
Testing Zhipu's GLM 5.1 High Speed API: a full-power flagship model at 400 Token/s. From sketch restoration to generating a complete puzzle game, verifying speed and capability combined.
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Deep Dives·4 min
How Dangerous Are Windsurf Account-Switching Plugins? A Deep Dive into Technical Principles and Security Risks
Deep 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.
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Tutorials·2 min
NCCL Multi-GPU Communication Optimization in Practice: A Guide to Scaling HPC High-Performance Computing
Deep 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.
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Tutorials·2 min
GB200 NVL72 Block Scheduling in Practice: How Slurm Squeezes Every Bit of Rack-Level NVLink Performance
Deep 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%.
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Tutorials·4 min
NCCL Inspector Explained: Real-Time GPU Cluster Communication Monitoring with Prometheus Integration
Deep 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.
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Deep Dives·3 min
AI Model Deployment Pipeline Friction: How TensorRT Systematically Eliminates Inference Optimization Bottlenecks
Deep dive into pipeline friction in AI model deployment from training to production, covering TensorRT automated optimization, ONNX export, and Triton Inference Server best practices.
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Deep Dives·3 min
NVIDIA Fleet Intelligence Explained: Real-Time Monitoring and Intelligent Optimization for GPU Clusters
Deep 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.
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Tutorials·3 min
Grammar-Constrained Decoding: A Practical Guide to Generating Reliable Bash Code with Small Models
Deep 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.
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Deep Dives·3 min
NVIDIA Dynamo Multi-Turn Agentic Interaction: Deep Integration of Streaming Tokens and Tool Calling
Deep 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.
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Product Reviews·3 min
8K Stars on GitHub: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep 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.
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Product Reviews·4 min
Cube Studio Deep Dive: Tencent's Open-Source One-Stop MLOps Platform
Deep 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.
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Deep Dives·5 min
Hugging Face Transformers: A Comprehensive Guide to the 160K-Star Open-Source AI Framework
Comprehensive 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.
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Deep Dives·3 min
Google TPU v8t and v8i Deep Dive: The New Era of Separated Training and Inference AI Chips
Google Cloud Next unveils TPU v8t (training) and TPU v8i (inference) chips. Deep analysis of their architecture, strategic significance, and impact on AI chip competition.
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Industry Insights·3 min
Google Cloud Next 2025: A Deep Dive into the Future of AI Infrastructure
At Google Cloud Next 2025, Amin Vahdat, Jeff Dean, and other tech leaders discuss AI infrastructure evolution, network-compute convergence, TPU development, and the next decade of cloud services.
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Tutorials·3 min
GPT-OSS-20B Private Deployment Guide: Hardware Selection + Deployment Process + Performance Testing
Complete guide to privately deploying OpenAI's open-source GPT-OSS-20B: GPU selection (RTX 5090/V100/4070Ti), Linux deployment steps, API configuration, and real-world benchmarks with 120B hardware comparison.
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Tutorials·3 min
NVIDIA Nemotron Labs Open Source Contribution Guide: A Complete Playbook for Developers Joining AI Open Source Projects
A comprehensive guide to contributing to NVIDIA Nemotron Labs open source projects, covering NeMo framework contributions, community participation, and career benefits for AI developers.
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Deep Dives·3 min
Microsoft Tutel: A Deep Dive into the MoE Model Acceleration Library with FP4/FP8 Low-Precision Support
A deep dive into Microsoft's open-source Tutel MoE optimization library, supporting FP8, NVFP4, and MXFP4 multi-precision computation for DeepSeek, Kimi-K2, Qwen3, and other leading MoE models.
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Tech Frontiers·2 min
Cursor Launches Claude Opus 4 Fast Mode: 2.5x Faster, 6x More Expensive — Is It Worth It?
Cursor launches Claude Opus 4 Fast Mode with 2.5x speed but 6x cost. We analyze use cases, cost tradeoffs, and practical tips to help you decide if it's worth it.
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Deep Dives·4 min
Hugging Face Transformers: Deep Dive into the 160K-Star Open Source AI Framework
Deep dive into Hugging Face Transformers: the 160K-Star open-source framework covering Pipeline API, Auto Classes, multi-modal models, and the full HF ecosystem for AI inference and training.
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