#KV cache optimization
377 related articles
·4 min
Best Practices Guide for Deploying Nextcloud in a 15-Person Small Business
Complete Nextcloud deployment guide for 15-person small businesses covering AIO installation, hardware specs, Redis and PHP tuning, OnlyOffice vs Collabora, backup strategies, and key practices for building a stable private cloud office platform.
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·2 min
Behind the Open-Source Model Frenzy: Who Will Provide Cheap Inference Services?
Open-source LLM weights don't equal low-cost access for developers. This article analyzes the inference service gap in open-source AI and how providers like Together AI and Groq are addressing it.
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·2 min
Behind the Open-Source Model Frenzy: Who Will Provide Cheap Inference Services?
Open-source LLM weights don't mean developers can use them cheaply. This article examines the inference service gap in open-source AI and how providers like Together AI and Groq are addressing it.
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·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.
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·2 min
Qwen Scribe: A Deep Dive into the Local Speech Transcription Tool for Apple Silicon
Qwen Scribe is a local speech transcription tool optimized for Apple Silicon, running fully offline with Qwen models. Explore its technical features, privacy benefits, and comparison with Whisper.
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·2 min
Qwen Scribe: A Deep Dive into the Local Speech Transcription Tool for Apple Silicon
Qwen Scribe is a local speech transcription tool optimized for Apple Silicon, powered by Qwen models for fully offline use. Explore its technical features, privacy benefits, and comparison with Whisper.
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·3 min
Complete Guide to Running Claude Code with Ollama: API Error Troubleshooting & Local Model Optimization
Guide to running Claude Code via Ollama locally: troubleshooting API errors, output token limits, model freezes, with model selection, parameter tuning, and alternative tool recommendations.
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·2 min
Real User Feedback: Claude Opus 5 vs Gemini 3.1 Pro — Does Speed Determine the Experience?
A Reddit user's hands-on comparison of Claude Opus 5 vs Gemini 3.1 Pro reveals that response speed and interaction fluidity may matter more than raw intelligence in choosing an LLM.
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·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.
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·3 min
Production-Grade LLM Inference Deployment: A Practical K8s Handbook
Complete guide to deploying production-grade LLM inference on Kubernetes, covering GPU scheduling, vLLM engine selection, autoscaling, observability, and cost optimization.
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·3 min
Is LLM Inference Actually Profitable? Breaking Down the Cost Structure and Business Logic of Large Model Inference
A deep dive into LLM inference cost structure and profitability models—from GPU throughput, MoE architecture, and KV Cache to scale effects—revealing the business logic behind API price wars.
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·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.
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·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.
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·3 min
Kimi K3 vs Claude Real-World Test: Near-Equal Performance at 1/8 the Price
Real-world comparison of Kimi K3 vs Claude flagship across e-commerce pages, 3D fighting games, and flight simulators. Kimi K3 delivers 90% output quality at 1/8 the price with faster speeds and local deployment support.
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·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.
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·3 min
Kimi K3 Open-Source Release: 2.8 Trillion Parameters Tops Global Programming Leaderboard
Moonshot AI's Kimi K3 launches with 2.8 trillion parameters, tops LMArena frontend coding leaderboard as world #1, completing tasks at one-third competitors' cost. Fully open-source for commercial use.
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·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.
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·3 min
Deep Dive into Inkling: The First Frontier Open-Source Multimodal LLM from the West
Thinking Machines releases Inkling, an open-source multimodal LLM with near-trillion MoE parameters, 1M token context, Apache 2.0 license. Deep dive into architecture, benchmarks, and pricing.
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·4 min
Colibri: Running a 744-Billion-Parameter LLM on an Ordinary Laptop
Colibri uses MoE hot-cold separation and 4-bit quantization to run 744B-parameter models like GLM 5.2 on consumer hardware. Learn about its three-tier memory architecture and speculative decoding.
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·4 min
Laguna S 2.1 Deep Dive: Hands-On Local Deployment of a 118B Parameter Coding Model
In-depth review of Poolside's Laguna S 2.1 open-source coding model: MoE architecture, RL training, DGX Spark local deployment, and real-world agentic coding tests with 8B active parameters.
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