#CPU frequency scaling
46 related articles
Tech Frontiers·2 min
Windows 11 Low Latency Mode Explained: How Smart CPU Frequency Scaling Improves System Responsiveness
Microsoft is testing Low Latency Profile in Windows 11, using smart CPU frequency bursts to speed up Start Menu, app launches, and UI interactions — borrowing from macOS optimization strategies.
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·3 min
DDoS Attack on Norwegian Government IT Infrastructure: Incident Analysis and Defense Insights
Norway's government IT infrastructure hit by DDoS attack. This article analyzes the incident, DDoS attack types, why governments are targeted, and explores multi-layer defense strategies including traffic scrubbing, CDN deployment, and AI-based detection.
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·3 min
Feasibility Analysis: Deploying DeepSeek V4 Flash on Dual DGX Spark Systems
In-depth feasibility analysis of deploying DeepSeek V4 Flash on two NVIDIA DGX Spark units offline, examining memory bandwidth, MoE communication overhead, and quantization strategies.
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·3 min
From DevOps to MLOps: Market Demand, Transition Path, and Practical Advice
In-depth analysis of transitioning from DevOps to MLOps: core differences, market demand, required skills, and a practical three-step path for operations engineers making rational career decisions.
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·3 min
Running the 1.56TB Kimi K3 Model on 8GB RAM with Pure C
A developer built a pure C99 inference engine that runs the 1.56TB Kimi K3 model on 8GB RAM using MoE sparsity and NVMe on-demand loading—no GPU, 176KB binary.
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·3 min
KEDA Scale-to-Zero in Practice: Wake Self-Hosted Apps on Demand and Save Resources
Learn how to use KEDA for Kubernetes scale-to-zero, waking self-hosted apps on demand via HTTP interceptors. Covers cold start optimization, Cron warming strategies, and full open-source configs.
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·3 min
Supabase in Production: A Deep Dive into Cron and Queue Reliability Issues
Deep analysis of Supabase pg_cron and pgmq reliability issues in production, including task loss, execution uncertainty, and observability gaps, with practical architecture optimization advice.
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·3 min
Supabase in Production: A Deep Dive into Cron and Queue Reliability Issues
Deep analysis of Supabase production reliability issues with pg_cron and pgmq, covering task loss, execution uncertainty, and observability gaps, with practical architecture optimization advice.
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·4 min
Practical Guide to Auto-Recovery from Self-Hosted Server Hangs: From Watchdog to Out-of-Band Management
A detailed guide to auto-recovery solutions for self-hosted server hangs, covering hardware watchdog configuration, systemd watchdog setup, smart PDU out-of-band management, and multi-layer defense strategies for unattended homelab high availability.
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·3 min
How to Fix AI Tool Error 1076? Root Cause Analysis and Solutions
Getting "Something went wrong 1076" from an AI service? This article analyzes common causes including server overload and session issues, with practical troubleshooting steps to restore normal usage.
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·3 min
Apache Cassandra Explained: A Linearly Scalable and Highly Available Distributed Database
Deep dive into Apache Cassandra's core design: linear scalability, decentralized architecture, tunable consistency, and ideal use cases for engineering teams.
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·3 min
HuggingHack Update: S3 Storage, Dual-Engine Scheduling, and GGUF Inspection Get Major Upgrades
HuggingHack releases major updates with S3/MinIO storage, Ollama + vLLM dual-engine scheduling, GGUF inspection, and local accounts for enterprise-grade local LLM management.
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·7 min
AI Daily: T-Head Open-Sources SAIL Software Stack at WAIC, Flurry of Large Model Releases
T-Head open-sources AI software stack T-Head SAIL at WAIC to lower the barrier for domestic chip development; Kimi K3 tops the WebDev leaderboard; Qwen 3.8 Max Preview cuts prices aggressively; Moonshot prepares a Hong Kong IPO; and Oracle switches its data center to a fuel cell microgrid.
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·3 min
AI Manga Drama Production: Full Workflow from Image Generation to Monetization
A complete guide to AI manga drama production: covering Jimeng, Hailuo, ComfyUI video generation, MiniMax voiceover, Topaz upscaling, and editing — for everyday creators.
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·3 min
V100 GPU Showdown: 4×16G PCIe vs. 2×32G SXM — Which Gives You More Bang for Your Buck?
Benchmarking 4×V100 16G PCIe vs. 2×V100 32G SXM adapter for local LLM inference. Prefill speed, decode speed, power limits, and bandwidth bottlenecks analyzed.
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·2 min
Ollama Complete Guide: Running Open-Source LLMs Locally
Want to run open-source LLMs like DeepSeek locally for free? Ollama is the easiest solution. This guide covers what Ollama is, its core advantages, and key use cases.
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·3 min
Benchmarking LLMs on Smartphones: A Deep Dive into the MELTing Point Benchmark
The MELTing Point paper is the first to evaluate mobile LLM performance in real user scenarios, covering iPhone, Samsung, Pixel and more, testing TinyLlama, Mistral-7B and others—revealing GPU inference gains, 47°C heat warnings, and prefill-decode disaggregation.
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·7 min
Practical RL Compute Optimization: Core Strategies to Boost CPU and GPU Utilization
An in-depth look at why CPU and GPU utilization is low in RL training, covering vectorized environment parallelism, distributed Actor-Learner architectures, GPU-side simulation (Isaac Gym/Brax), and Ray RLlib practice.
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·3 min
TB/s Memory Tier Accelerates SGLang: How X-Mem Reduces TTFT by 6.7x
Netpreme integrates X-Mem™ MPU into SGLang HiCache, achieving up to 6.7× TTFT reduction and 33–50% TPS gains at 98% prefix cache hit rates. Here's the technical breakdown.
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·6 min
Why Is Qwen3 27B So Slow on a 4090? A Hands-On Guide to Local Inference Performance Optimization
RTX 4090 taking over 400 seconds to run Qwen3 27B inference? This article analyzes the core causes—VRAM overflow and CPU offloading drag—and offers targeted fixes.
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