#NVIDIA B200

285 related articles

Jul 30, 2026·3 min

Is LLM Inference Really That Expensive? Breaking Down the Cost Reduction Logic of GPU Compute and Inference Frameworks

Analyzing real LLM inference costs: from B200 GPU compute gains, vLLM framework optimization to MTP multi-token prediction, explaining why serving costs are widely overestimated.

Jul 29, 2026·2 min

AI Builds the Largest Open-World MMO in History: A New Paradigm for Game Development

Exploring how AI drives large-scale MMO development, from scalable content generation to dynamic NPC interaction, analyzing technical pathways, challenges, and industry implications.

Jul 29, 2026·2 min

AI Circular Deals: The Boom and Bubble Risk Behind the Commoditization of Intelligence

Deep analysis of AI circular deals: how mutual investments and procurement among chip makers, cloud providers, and model companies inflate valuations, and the bubble risks amid intelligence commoditization.

Jul 29, 2026·2 min

AI Circular Deals: The Boom and Bubble Risk Behind the Commoditization of Intelligence

Jul 29, 2026·3 min

Self-Hosting Kimi K3: Is Spending 20% More on Hardware Worth a 20% Improvement in Task Performance?

Analysis of whether spending 20% more on hardware for self-hosting Kimi K3 to gain 20% task performance improvement is worthwhile, covering inference precision, VRAM optimization, and tiered deployment.

Jul 29, 2026·3 min

Local LLM Agent Lagging? Lowering num_gpu Is the Key

Local LLM crashing in Agent frameworks? The issue may be num_gpu set too high. Learn what num_gpu really controls (GPU layer offloading, not GPU count) and how to tune it for stable Agent performance.

Jul 29, 2026·3 min

Why Are AI Companies Frantically Hiring Electricians and Carpenters? The Blue-Collar Recruitment Truth Behind the Data Center Building Boom

OpenAI, Google, Meta, and other AI giants are massively recruiting electricians, carpenters, and plumbers. A deep dive into how the AI data center boom is driving a revaluation of blue-collar skills.

Jul 29, 2026·3 min

Moonshot AI Open-Sources FlashKDA: A Deep Dive into High-Performance CUDA Kernels for KDA Attention

Moonshot AI open-sources FlashKDA, providing high-performance CUDA kernels for Kimi Delta Attention. Learn about its technical principles, performance gains, and value for long-context training and inference acceleration.

Jul 29, 2026·3 min

Moonshot AI Open-Sources FlashKDA: A Deep Dive into High-Performance CUDA Kernels for KDA Attention

Moonshot AI open-sources FlashKDA, providing high-performance CUDA kernels for Kimi Delta Attention. Explore its technical principles, performance gains, and value for long-context training and inference.

Jul 29, 2026·2 min

AI Bubble Fears Intensify: The Logic Behind Chip Stocks Selling Off Across U.S. and Asian Markets

Chip stocks fall simultaneously across U.S. and Asian markets as AI bubble fears intensify. Analysis of the drivers, sustainability of AI capex, and the balance between short-term volatility and long-term trends.

Jul 29, 2026·3 min

Google's $1 Billion Dark Fiber Deal with Verizon: AI Infrastructure Competition Goes Deep

Google signs a $1B+ dark fiber deal with Verizon to interconnect data centers for AI training and inference. Verizon launches AI Connect, converting central offices into edge compute nodes.

Jul 29, 2026·2 min

AI Bubble Fears Intensify: The Logic Behind Chip Stocks Selling Off Across US and Asian Markets

Chip stocks decline simultaneously across US and Asian markets as AI bubble fears intensify. Analysis of the logic behind the selloff, sustainability questions around AI capex, and the relationship between short-term volatility and long-term trends.

Jul 28, 2026·3 min

Is Useful AI Just a Fantasy? A Deep Examination of Expectations vs. Reality

As AI hype sweeps the globe, have our expectations far exceeded reality? This article examines the demo-vs-production gap, self-reinforcing capital narratives, and cognitive biases to provide a sober framework for judging AI's true utility.

Jul 28, 2026·3 min

Kimi Delta Attention Explained: The Evolution from Standard Attention to Linear Attention

A deep dive into Kimi Delta Attention (KDA): tracing the evolution from quadratic Softmax attention through linear attention, Delta rules, and gated decay mechanisms, with insights on associative memory and hardware optimization.

Jul 28, 2026·3 min

Kimi Delta Attention Explained: The Evolution from Standard Attention to Linear Attention

Deep dive into Kimi Delta Attention (KDA): from standard Softmax attention's quadratic bottleneck through linear attention, Delta Rule, and gated decay mechanisms — the complete evolution explained.

Jul 28, 2026·3 min

ncnn Vulkan Cross-Platform Edge Inference in Practice: Solving the GPU Fragmentation Deployment Challenge

Facing GPU fragmentation on edge devices, the PostSlate team used ncnn's Vulkan backend for cross-platform ML inference, achieving 10× speedup on RTX 4070 with half the model size and zero runtime installation.

Jul 28, 2026·3 min

Kimi K3 Launch: A 2.8 Trillion Parameter Flagship Model Makes Its Grand Entrance

Moonshot AI launches Kimi K3 with 2.8 trillion parameters and 1M token context. Google delays Gemini 3.5 Pro, AI coding tools upgrade collectively as competition shifts to coding and Agent capabilities.

Jul 28, 2026·4 min

Kimi K3 Released: 2.8 Trillion Parameter Open-Source Model Tops Global Coding Leaderboard

Moonshot AI releases Kimi K3, a 2.8 trillion parameter open-source model using MoE architecture that tops the global frontend coding arena at under $1 per task, beating GPT and Claude.

Jul 28, 2026·4 min

Cursor Start India Plan at ₹649/Month: Decoding the Regional Pricing Strategy for AI Coding Tools

Cursor launches its Start plan for India at ₹649/month (~$7.70), featuring Grok 4.5 and Composer Agent. A deep dive into the PPP pricing strategy and its market implications.

Jul 28, 2026·5 min

Open-Source STEM Education Robot: Smart Ball-Fetching Interaction Powered by Edge AI Object Detection

An open-source STEM education robot using Edge Impulse edge AI for local object detection, teaching kids computer vision and ML through an engaging ball-fetching game with anthropomorphic design.