#TensorRT optimization
185 related articles
·2 min
What It Means That Nemotron's 2-Bit Quantized 30B Model Sustained Tool Calling for 10 Minutes
NVIDIA Nemotron 3.5 Lightning sustained tool calls for 10+ minutes after extreme 2-bit quantization, revealing surprising robustness of low-bit models for Agent tasks and local deployment.
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·3 min
ONNX Runtime Explained: A Cross-Platform AI Inference and Training Acceleration Engine
A deep dive into ONNX Runtime's core architecture and use cases, covering execution providers, training acceleration, edge deployment, and large model inference optimization.
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·3 min
Even Nvidia Is in the Game: The AI Open-Source Race Enters the Full-Stack Era
Nvidia transforms from AI chip supplier to full-stack player, actively joining open-source model competitions. Deep analysis of ecosystem lock-in strategy, intensifying competition, and implications for the AI landscape.
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·3 min
OpenRouter Alternatives: A Complete Guide to LLM Gateway Selection
Compare OpenRouter alternatives including LiteLLM, Portkey, AWS Bedrock, and more. A complete guide to choosing the right LLM gateway for data privacy, cost control, and architectural flexibility.
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·2 min
CPU Simulation vs GPU Simulation: The Compute Architecture Debate Sparked by UniLabSim
Is GPU parallel simulation the only choice for robot reinforcement learning? UniLabSim argues CPU simulation remains competitive. We analyze the hidden costs of GPU simulation, CPU flexibility advantages, and the tech and business logic behind this compute debate.
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·3 min
DFlash 2: How Parallel Draft Decoding Accelerates Large Model Inference
Deep dive into DFlash 2's parallel draft decoding technology, explaining how its Keep Drafting Parallel mechanism breaks autoregressive bottlenecks for lossless LLM inference acceleration.
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·4 min
How Should New Graduates Choose a Technical Specialization? Starting from ML Engineering Practice
How should new graduates choose a technical specialization in the AI era? Analyzing the gap between model callers and builders, Kubernetes experience transfer, C++/CUDA learning paths, and the value of deep specialization.
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·2 min
Nemotron 3.5 Lightning: A High-Efficiency Open-Source Model Designed for Long-Running Agents
NVIDIA launches Nemotron 3.5 Lightning, an open-source model built for smart, fast, and efficient long-running AI Agent tasks. We analyze its core advantages, open-source strategy, and industry impact.
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·2 min
omlx: High-Performance LLM Inference Server Built for Apple Silicon
omlx is an open-source LLM inference server optimized for Apple Silicon, featuring continuous batching, SSD caching, and macOS menu bar management.
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·4 min
AI Algorithm Engineer Self-Study Roadmap: A Complete Plan from Zero to Landing Your First Offer
A detailed AI algorithm engineer self-study roadmap covering foundations, core algorithms, CV/NLP direction selection, and career transition strategies for landing offers.
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·2 min
Nemotron 3.5 Lightning Lands on Perplexity API: Ultra-Low-Cost Inference Model Analysis
Nemotron 3.5 Lightning hits Perplexity's Agent API at just $0.0115 per million input tokens. We analyze its pricing, use cases, and impact on AI agent development.
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·2 min
YOLO26n-Depth Edge Deployment Test: The Optimization Challenge of Only 3-4 FPS on RK3576
A developer tested YOLO26n-Depth on RK3576 achieving only 3-4 FPS. We analyze performance bottlenecks, compare Jetson and RK3588, and provide INT8 quantization and C++ deployment optimization tips.
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·3 min
GLM-5.3 Open-Source Tops Charts, Gemini 3.7 Flash Released, DeepSeek V4 Pro Withdrawn
Zhipu GLM-5.3 tops open-source charts with 50% coding boost; Google Gemini 3.7 Flash launches at half the price; DeepSeek V4 Pro withdrawn within 24 hours; OpenAI debuts UltraFast API and Computer History.
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·3 min
Lovable Raises $400M: AI Money Is Shifting to the Inference Side
Lovable closes $400M Series C at $13.3B valuation with Tencent as follow-on investor. Analysis of AI industry shift from training to inference and power infrastructure, backed by Gartner forecasts and Tencent's 176% CapEx surge.
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·2 min
Why Is NVIDIA Scrambling for Interns? A Deep Dive into the AI Talent War
NVIDIA's summer intern message reveals the AI chip giant's intense hunger for top talent. A deep dive into NVIDIA's talent strategy, the AI industry talent war, and what it means for young engineers.
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·2 min
OpenAI Employee Reveals ChatGPT Speed Optimization Roadmap
OpenAI employee shares ChatGPT speed improvement roadmap on Reddit, covering inference optimization, model distillation, and infrastructure scaling to reduce response latency.
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·3 min
From OpenCV to Industrial-Grade Vision: An Advanced CV Learning Path and Practical Guide
A complete advanced path from mastering OpenCV and YOLO basics to building industrial-grade computer vision systems, covering deep learning, custom model training, real-time inference, edge deployment, and spatial perception.
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·2 min
NVIDIA Open-Sources Switchyard: An AI Task Scheduling Engine Built with Rust
NVIDIA-NeMo team open-sources Switchyard, a high-performance AI task scheduling engine built in Rust. Explore its technical positioning, why Rust was chosen, and its strategic role in the NeMo ecosystem.
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·2 min
NVIDIA Open-Sources Real-Time AI Animation Technology: Strategic Analysis and Developer Practice Guide
NVIDIA open-sources real-time AI animation tech for virtual streamers, game NPCs, and digital humans. Analysis of strategy, applications, and developer challenges.
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·3 min
DeepSeek Plans Significant Price Hikes: Is the Era of Cheap AI Coming to an End?
DeepSeek plans significant API price hikes, signaling the end of ultra-cheap AI. We analyze the drivers, developer impact, and industry shift from price wars to rational pricing.
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