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Articles on artificial intelligence, machine learning, large language models, agent systems, and AI infrastructure.
Building and optimizing a multi-node DeepSeek V4 Flash inference cluster on DGX Spark with vLLM — from baseline 5.5 TPS to ~20 TPS through safe, production-proven optimizations, including MTP speculation and PIECEWISE cudagraph.
How I fixed a recurring OOM during model loading on a 2-node DGX Spark cluster running DeepSeek V4 Flash with vLLM — the physics of unified memory, page cache flooding, and the vm.min_free_kbytes fix that finally worked.
Eine technische Analyse von AI Prompt Injection Angriffen auf LLM-basierte Systeme und effektive Schutzmaßnahmen
Understanding gradient boosting from first principles: ensemble methods, decision trees as weak learners, gradient descent in function space, and why XGBoost dominates tabular data competitions.
Huawei's new Tau Scaling Law and LogicFolding architecture bypass traditional transistor scaling to target 1.4nm-class density by 2031 — a bet that could reshape the AI chip landscape without access to EUV lithography.
Graph-based retrieval, structured reasoning, and hierarchical context selection can slash token consumption by 60-80% compared to naive RAG. A practical breakdown of where graphs win and how to implement them.
Discover how Docker enables efficient multi-model AI workload management with GPU acceleration and automatic scaling.
Strategic trends shaping enterprise AI infrastructure in 2026 and beyond, focusing on digital sovereignty, regulatory compliance, and sustainable self-hosted AI deployments.
Comprehensive financial analysis comparing self-hosted AI infrastructure with SaaS solutions. Real-world TCO models, ROI calculations, and decision framework for enterprise AI deployment.
Comparing the five major approaches to building agentic AI workflows — when to use monolithic frameworks, multi-agent orchestration, or the emerging LLM router pattern for autonomous tool selection.
Microsoft's DELEGATE-52 benchmark proves frontier models corrupt documents beyond 20 interactions. One week later, Google confirmed criminals used AI for a real zero-day exploit. The two findings describe the same gap from opposite ends.
A split architecture for local AI. MiniMax M2.7 extracts signals, PyMC produces calibrated posterior distributions. No cloud dependency, no API keys in production.
Run 3 specialised LLMs on a single DGX Spark in under 2 minutes with 100+ tok/s throughput. Production orchestration patterns revealed.
Hermes Agent combines OpenClaw's multi-channel presence with a closed learning loop for self-improving AI automation. Here's how to migrate and what to expect.
DeepSeek V4 ships two open-weight MoE models — a 1.6T Pro and a 284B Flash — with novel sparse attention, FP4 quantisation, 1M token context, and validated Huawei Ascend NPU support. Here's what actually changed.
Alibaba released Qwen3.6-35B-A3B on 16 April 2026, the first open-weight model in the Qwen3.6 series. The benchmarks show real gains in agentic coding, but the architecture is unchanged from Qwen3.5 and the red flags warrant scrutiny.
The failure modes that plague distributed systems appear identically in multi-agent AI teams: stale locks, split brain, cascade failures, and Byzantine faults. The solutions are decades old.
How Apple's LGTM framework breaks quadratic compute scaling in feed-forward 3D Gaussian Splatting, enabling 4K novel view synthesis for Vision Pro and spatial computing.
How CoreCoder reverse-engineered Anthropic's Claude Code from 512K lines into a minimal 950-line implementation, revealing the essential architecture of modern AI coding agents.
MemPalace stores verbatim conversation history with semantic search, achieving 96.6% recall on LongMemEval with zero API calls and zero cloud dependency.
The Hailo-8 AI accelerator cannot run LLMs. Here's what it can do alongside Gemma 4 on a Raspberry Pi 5, the real commands to set it up, and when to upgrade to a chip that actually handles language models.
A 26-person startup spent $20M training a 400B MoE model on 2,048 B300 GPUs — and produced the strongest open reasoning model outside China. Trinity-Large-Thinking ranks #1 on τ²-Airline at 1/28th the cost of Claude Opus 4.6.
A technical comparison of vLLM and SGLang, the two leading open-source LLM inference engines, covering architecture, performance, and when to pick each one.
From chat prompts to orchestrated multi-agent systems: the architecture behind 10 specialised agents, 25+ LLMs, and fully automated infrastructure deployment.
ACP standardises how editors talk to coding agents. Here's how it works, who supports it, and how to orchestrate 90+ projects with a single CLI.
The Linux kernel now has official AI coding guidelines — an Assisted-by tag, a ban on AI Signed-off-by, and Sashiko for automated review. What changed, and what it means for open source.
A practical guide to the CNCF Cloud Native AI landscape covering vLLM and SGLang inference serving, Milvus/Qdrant/Chroma vector databases, GPU orchestration on Kubernetes, and open-source MLOps tools for production AI infrastructure at scale.
Gemma 4 brings frontier-level multimodal intelligence to open-source — with models ranging from 2B to 31B parameters, MoE efficiency, and native audio support for edge devices.
How Microsoft's open-source Agent Governance Toolkit enforces OWASP Agentic Top 10 compliance at the kernel level, achieving 0% policy violation rates with sub-millisecond latency.
How LiteLLM, OpenCode, and Oh-My-OpenAgent form a multi-agent system where 10 specialised agents route through 25+ models across 3 providers with automatic fallback.
AWS has taken two specialised AI agents from preview to general availability. One keeps your systems running, the other breaks into them. Both are available today.
Professional guide to implementing LiteLLM proxy for multi-provider LLM integration in GraphWiz.AI, featuring production deployment, cost optimization, and advanced routing strategies.
How Peter Steinberger's personal AI assistant went from 500 stars to 358,000, what the architecture looks like, and why OpenAI hired its creator.
A practical guide to engineering prompts for autonomous AI systems that plan, act, and iterate toward goals.
Generalist AI's GEN-1 achieves 99% task success rates on real robots using 500,000 hours of human physical interaction data — with only 1 hour of task-specific training. Is this the GPT-3 moment for embodied AI?
Learn how Generative Engine Optimization (GEO) differs from traditional SEO and how to optimize your content for visibility in ChatGPT, Perplexity, Google AI Overviews, and other AI-powered search engines.
The shift from traditional SEO to Generative Engine Optimization (GEO) represents the biggest change in search visibility since Google's founding. Learn how to optimize for ChatGPT, Perplexity, and AI-powered search.
Combine n8n's workflow automation with NVIDIA GB10 Grace Blackwell hardware for privacy-preserving, high-performance AI automation. Real-world use cases and implementation guide.
Deploy Qwen's latest agentic coding model with vLLM on NVIDIA DGX Spark. Complete configuration for tool calling, extended context, and optimal performance on the GB10 Grace Blackwell Superchip.
A practical guide to deploying production-ready LLM inference using vLLM on NVIDIA DGX Spark hardware, covering configuration, troubleshooting, and performance optimization.
Business case study on why enterprises should choose self-hosted AI over cloud SaaS. Covers compliance, data ownership, competitive advantages, and implementation strategies.
A practical guide to vibe coding - the creative, flow-state approach to AI-assisted development using OpenCode, oh-my-opencode, and Superpowers skills.
Comprehensive guide to prompt engineering techniques that work reliably in production environments, including chain-of-thought, few-shot learning, and output formatting strategies.
A strategic guide to building enterprise-grade self-hosted AI infrastructure using Docker, Traefik, and open-source LLMs for data sovereignty and cost optimization.
Strategic analysis of Model Context Protocol (MCP) servers and how they're revolutionizing enterprise AI integration through standardized, pluggable AI service architectures.
How to train LLMs and AI agents for production software testing: from prompt engineering and RAG context injection to fine-tuning and mutation testing. Covers validation frameworks, probabilistic QA strategies, and architectural guardrails against hallucination.
PromptToGraph: Interactive exploration of prompt engineering techniques for automated Knowledge Graph generation from unstructured text using LLMs. Learn structured prompt patterns for entity extraction, relation mapping, and graph construction.
Generate 3D XR assets with AI. Combine Stable Diffusion, Easy Diffusion, and Three.js for rapid content creation pipelines.
Analysis of 120 AI tools across 13 domains redefining workforce productivity in the agentic era — from ChatGPT and Claude to video AI, marketing automation, autonomous code generation, and AI voice agents. With market trends and adoption recommendations.