AI Infrastructure
189 articles in this category (Page 3 of 8)
DeepSeek-V4: 1M-Token Contexts via Compressed Sparse Attention and Hybrid Architecture
DeepSeek-AI releases DeepSeek-V4, featuring hybrid CSA/HCA attention that reduces KV cache size to 10% of previous models while supporting one-million-token contexts.
Google DeepMind’s Decoupled DiLoCo: Scaling AI Training with 88% Goodput and Asynchronous Fault Tolerance
Google DeepMind's Decoupled DiLoCo achieves 88% goodput under high hardware failure rates and reduces inter-datacenter bandwidth from 198 Gbps to 0.84 Gbps.
Microsoft (MSFT) Pre-Earnings Consolidation: Overbought Technicals Meet AI CapEx Surge
Microsoft faces a pre-earnings holding pattern as overbought technicals clash with high-stakes AI infrastructure investments and an impending April 29 earnings catalyst.
Implementing Qwen 3.6-35B-A3B: Multimodal MoE with Thinking Control and Tool Calling
Deploy Qwen 3.6-35B-A3B, a 35B MoE model with 3B active parameters, featuring multimodal inference, thinking-budget control, and integrated tool calling for agentic AI workflows.
Building an AI-Powered File Type Detection and Security Pipeline with Magika and OpenAI
Learn to integrate Google's Magika deep-learning file detection with OpenAI's GPT-4o to identify over 100 file labels and detect spoofed extensions with byte-level accuracy.
Building Multi-Agent Systems with SmolAgents: Code Execution and Dynamic Orchestration
Learn to build production-ready multi-agent systems using SmolAgents v1.24.0, featuring Python-based code execution and dynamic tool management for complex reasoning tasks.
Advanced Web Scraping with Crawl4AI: Markdown Generation, JS Execution, and Structured LLM Extraction
Learn to implement Crawl4AI v0.8.x for advanced web crawling, featuring JavaScript execution and LLM-based structured data extraction from unstructured HTML.
Microsoft (MSFT) 21-Day Outlook: Oversold Technicals Clash with AI CapEx Concerns Ahead of Q3 Earnings
Despite a 25% YTD decline and mixed sentiment, MSFT's oversold RSI and strong fundamentals suggest a potential rebound heading into its April 29 earnings catalyst.
NVIDIA KVPress: Optimizing Long-Context LLM Inference with KV Cache Compression
NVIDIA’s KVPress framework enables memory-efficient LLM inference by pruning KV cache pairs with compression ratios up to 0.7, significantly reducing GPU memory overhead for long-context tasks.
Five AI Compute Architectures Every Engineer Should Know: CPUs, GPUs, TPUs, NPUs, and LPUs Compared
Understand the trade-offs between AI architectures, including Groq’s LPU which achieves 10x higher energy efficiency than traditional systems for LLM inference.