#Blackwell GPU
81 related articles
·2 min
Jensen Huang Praises DeepSeek and Kimi: Markets Have Twice Misjudged the Impact of Chinese Open-Source Models
NVIDIA CEO Jensen Huang says markets have twice misjudged the impact of DeepSeek and Kimi, arguing Chinese open-source models boost rather than reduce overall AI compute demand.
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·2 min
The AI Compute Arms Race: Why Tech Giants Are Betting Everything on Data Centers
Tech giants are frantically investing in AI compute infrastructure driven by FOMO. This deep dive analyzes the logic, capital scale, energy challenges, and industry reshaping of the compute arms race.
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·2 min
The AI Computing Arms Race: Why Tech Giants Are Betting Everything on Data Centers
Tech giants are pouring billions into AI computing infrastructure driven by FOMO. This deep dive analyzes the arms race logic, capital scale, energy challenges, and industry reshaping.
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·5 min
China Weighs Restricting Top AI Model Exports as DeepSeek Develops Its Own Inference Chip
China's Commerce Ministry weighs restricting overseas access to top open-weight AI models from Alibaba, ByteDance, and DeepSeek, while DeepSeek develops its own inference chip amid a US-China AI export standoff.
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·5 min
China Weighs Restricting Top AI Model Exports, While DeepSeek Quietly Builds Its Own Inference Chip
China's Ministry of Commerce is weighing restrictions on overseas access to top open-weight AI models from Alibaba, ByteDance, and DeepSeek. Meanwhile, DeepSeek is quietly building its own inference chip and raising ~$7B in first external funding.
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·2 min
Abliteration Explained: Building a Custom Uncensored Text Encoder for Krea 2
How a developer ran 4,000 multi-seed abliteration trials to build a 100% HarmBench-compliant uncensored text encoder for Krea 2's Qwen3-VL-4B, with five quantization formats and ComfyUI deployment guide.
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Handwritten C/CUDA Inference Engine: P…
·2 min
Handwritten C/CUDA Inference Engine: Pushing Qwen 35B to the Limits on RTX 5090
A deep dive into a handwritten C/CUDA inference engine for Qwen 35B on RTX 5090 (Blackwell), covering quantization, FlashAttention kernels, and memory optimization.
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·3 min
OpenAI Cuts Inference Costs in Half: AI Competition Shifts from 'Who's Strongest' to 'Who's Cheapest'
OpenAI engineers have found ways to cut inference costs by over 50%. Combined with Anthropic's research AI tools and an $800M chip startup, the AI race is shifting from capability to cost efficiency.
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·2 min
The Truth Behind Anthropic's Account Bans: Client Detection Logic and a Wave of AI Model Launches
Unpacking the technical truth behind Anthropic's account bans: hidden timezone and proxy detection logic sparks privacy debate. Plus Claude Sonnet 5, Linux support, and new releases from OpenAI, NVIDIA, and Google DeepMind.
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·4 min
The Local AI Inflection Point: Edge Deployment, Multi-Model Collaboration, and the Open-Source Ecosystem
AI Engineer Summit deep dive: Local AI hits a real inflection point, driven by privacy and cost. Multi-model collaboration goes mainstream, NVIDIA + ExoLabs achieve 10x gains, open-source ecosystem accelerates.
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·3 min
OpenAI Seeks Government Stake: A Last-Ditch Rescue Before the AI Bubble Bursts?
OpenAI proposes a 5% stake to the Trump administration worth ~$43B. From $13B revenue and $21B losses to Chinese models doubling market share, Scott Galloway exposes AI's demand crisis and crony capitalism.
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Apple M7 Ultra Leaked: Can 1.5TB Unifi…
·2 min
Apple M7 Ultra Leaked: Can 1.5TB Unified Memory Challenge NVIDIA Blackwell?
Apple's M7 Ultra chip rumored to feature 1.5TB unified memory targeting NVIDIA Blackwell-level AI performance. A deep dive into UMA advantages, what "matching Blackwell" really means, and Apple's AI strategy.
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·3 min
AI Daily: Alibaba Open-Sources Dance Model, World Model Launches, First AI-Native Phone Debuts
Alibaba open-sources 14B dance model Wan-Dancer, AutoNavi launches World Studio, Stepfun debuts AI-native phone STEPS NEO; GPT-5.6 file deletion and AI companion shutdowns spark safety and regulation debates.
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·3 min
GPU Rental vs. Buying: How Low-Usage Teams Should Actually Do the Math
Should low-usage teams rent or buy GPUs? Based on real billing data, we break down hardware costs, electricity, and hidden time losses to help small teams decide.
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Hardware-Software Co-Design: A Guide t…
·2 min
Hardware-Software Co-Design: A Guide to Building Hardware-Friendly LLM Architectures
Explore AI Model Co-Design principles and how hardware-friendly LLM architecture design — covering MoE, GQA, and FP8 quantization — optimizes the accuracy, throughput, and latency trade-off.
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NVFP4 in Reinforcement Learning Traini…
·2 min
NVFP4 in Reinforcement Learning Training: Stability Challenges and Engineering Practices for 4-Bit Quantization
A deep dive into the stability challenges of NVIDIA NVFP4 (4-bit float) in RL training — covering precision evolution, numerical instability root causes, mixed precision strategies, and dynamic scaling solutions.
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·3 min
31 Companies Sign Agent Privacy Pact: Industry Self-Regulation Framework Goes into Effect
31 companies sign China's first AI agent privacy pact covering screen-reading authorization, training data restrictions, and payment caps. Plus: domestic LLM tops OpenRouter, Meta's $40B compute bet, and agent commercialization challenges.
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·3 min
The Cost Trap of AI Video Generation: A Complete Pricing Strategy Guide for iOS Apps
AI video generation costs ~$1 per 10 seconds. How should iOS developers price their apps? This deep dive covers unit economics, credit-based pricing, and vertical market strategies.
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·3 min
AI Compute Prices Surge Across the Board + Rise of Two Domestic Coding Tools: The Wave of Self-Reliance Arrives
The U.S. imposes its strictest-ever export controls on top AI models, while Zhipu AI and Moonshot launch self-developed coding tools the same day—amid rising GPU and cloud compute prices. A deep dive into three trends driving cost rationality and tech autonomy.
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·2 min
LingBot-Video 1.3B Selective FP8 Quantization Benchmark: 22% Faster Sampling
Reddit developer ALX-CODE shares a selective FP8 quantization scheme for LingBot-Video 1.3B, achieving ~22% faster sampling (4.65s→3.65s) on an RTX 5080. This article breaks down the mixed-precision strategy, open-source resources, and ComfyUI adaptation.
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