Author

Alex Kim

Threat intelligence editor

Focuses on cloud identity, incident response, and exploitation trends.

CloudIncident responseIdentity

Coverage by Alex Kim (121)

Intelligence dossier infographic detailing DeepSeek V4-Pro's 14x pricing multiplier, 50 percent off-peak time-of-day billing schedule, and custom silicon capital expansion.

DeepSeek Upends AI Economics with V4 Pro Launch and Peak-Hour API Surcharges

DeepSeek launches DeepSeek-V4-Pro and introduces dynamic peak-hour API pricing, ending flat ultra-cheap rates while expanding custom silicon ambitions.

Developer workstation displaying API rate limits, model routing architectures, and token throughput graphs.

Opencode Go Research

OpenCode Go Slashes DeepSeek Quotas as AI API Reseller Economics Fracture

OpenCode Go cuts DeepSeek V4 quotas by up to 75% as peak API pricing and heavy token burn squeeze the margins of fixed-rate AI subscription aggregators.

Architecture diagram illustrating full VRAM residency for 27B models on a 24GB GPU, showing weight sizing, KV cache headroom, and memory bandwidth performance.

27b Llm Local Deployment Research

Local Deployment of 27B Large Language Models: The 24GB Hardware Blueprint

Learn how to run 27B LLMs on a 24GB GPU. Master VRAM sizing, GGUF/EXL2 quantization, and Ollama configs to achieve high-throughput local inference today.

Technical briefing dossier comparing Qwen 2.5-32B, Llama 3.3-70B, Gemma 2 27B, and Mistral Small 3 across benchmark metrics, context limits, and GPU VRAM hardware profiles.

Qwen 2 5 32b Research

Qwen 2.5-32B vs. Llama 3.3-70B: Enterprise Foundation Model Sizing, Benchmarks, and Local VRAM Economics

Compare Qwen 2.5-32B vs. Llama 3.3-70B on benchmarks, GPU VRAM sizing, and costs. Discover the best open-weight LLM architecture for enterprise AI deployments.

Technical dossier comparing Qwen2.5-Coder-32B against proprietary coding models across HumanEval+, SWE-bench Verified, VRAM requirements, and deployment profiles.

Qwen2 5 Coder 32b Research

Open-Weight Coding at the Frontier: Evaluating Qwen2.5-Coder-32B for Enterprise Software Engineering

Compare Qwen2.5-Coder-32B with Claude 3.5 Sonnet and GPT-4o. Explore benchmark results, local hardware sizing, TCO analysis, and enterprise coding deployment.

Architectural infographic diagram detailing the total cost of ownership and routing logic between dedicated L40S GPU hosting and managed LLM APIs for 27B models.

Llm Inference Economics Research

Enterprise Inference Economics: The Total Cost of Ownership Blueprint for 27B LLMs

Compare 27B LLM inference costs: self-hosted GPUs vs managed APIs. Explore break-even metrics, FP8 VRAM math, L40S benchmarks, and total cost of ownership.

Architectural comparison diagram showing latency, KV-cache footprint, and data routing flows between 8K vector RAG and 262K native long-context models.

Qwen 3 8 27b Research

Qwen 3.8 27B vs. Vector RAG: Architectural Realities of the 262K Token Window

Compare Qwen 3.8 27B's 262K context window to vector RAG. Analyze KV cache VRAM limits, multi-hop reasoning decay, and hybrid enterprise AI architectures.

Architecture diagram illustrating local agent orchestration with Qwen 27B on vLLM, including schema validation, sandboxed execution, and security controls.

Qwen 27b Research

Mastering Local Agent Orchestration: Production Tool-Calling with Qwen 27B and vLLM

Learn how to deploy autonomous agents locally with Qwen 27B and vLLM. Master tool-calling, grammar-constrained decoding, LangGraph, and enterprise guardrails.

Desks covered

Operations Research

Latest

Sep 12, 2026, 12:37 PM EDT · Research · Mlx12 minMLX vs llama.cpp on Apple Silicon: Which Local LLM Runtime to Actually Use

One is a portable inference engine, the other an array framework that also trains — and that single difference settles almost every practical question.

Sep 12, 2026, 12:37 PM EDT · Operations · Llm Evaluation14 minHow to Build an LLM Evaluation Harness That Catches Real Regressions

Public benchmarks only shortlist a model; your own cases decide whether to ship it. Here is the dataset, the scorers and the CI gates that catch real drift.

Sep 12, 2026, 12:37 PM EDT · Research · Prompt Caching11 minPrompt Caching Explained: Cutting Agent Costs Without Touching the Model

Your agent re-sends the same long prefix on every step and pays to recompute it. Here is the KV mechanism, the ordering rule it forces, and the break-even math.

Sep 12, 2026, 12:37 PM EDT · Research · Speculative Decoding11 minSpeculative Decoding and Multi-Token Prediction: How LLMs Generate Faster

Decode is memory-bound, so checking several tokens in one pass is nearly free. Here is the mechanism, the arithmetic behind it, and why quality never moves.