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374 articles · Updated every 3 hours · View all reads

All Articles 185,293Blog Posts 167,051Tech Tutorials 49,740Research Papers 36,754News 23,036 ⚡ AI Lessons
Reddit r/LocalLLaMA 🏭 MLOps & LLMOps 1w ago
You can offload most of Qwen3.8-Flash-Next's KV cache to RAM with little decode slowdown
I'm pretty sure it can be done with any model based on qwen4exp, which Qwen's next local models will be based on. You can use a quant that barely fits in VRAM a
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MLOps and LLMOps: How AI Systems Are Managed in Practice
Medium · Machine Learning 🏭 MLOps & LLMOps 1w ago
MLOps and LLMOps: How AI Systems Are Managed in Practice
Creating an artificial intelligence model is only one part of building a useful AI system. After development, the model must be tested… Continue reading on Medi
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MLOps and LLMOps: How AI Systems Are Managed in Practice
Medium · Data Science 🏭 MLOps & LLMOps 1w ago
MLOps and LLMOps: How AI Systems Are Managed in Practice
Creating an artificial intelligence model is only one part of building a useful AI system. After development, the model must be tested… Continue reading on Medi
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LLM Inference — 4/7 [The Software Stack Behind High-Performance LLM Inference]
Medium · LLM 🏭 MLOps & LLMOps 1w ago
LLM Inference — 4/7 [The Software Stack Behind High-Performance LLM Inference]
From CUDA kernels and PyTorch to vLLM, SGLang, TensorRT-LLM, distributed serving, and performance benchmarking Continue reading on Medium »
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Why AI Models Break in Production — Data Drift, Model Drift & Concept Drift Explained
Medium · Data Science 🏭 MLOps & LLMOps 1w ago
Why AI Models Break in Production — Data Drift, Model Drift & Concept Drift Explained
Your team spent three months building a fraud detection model. Continue reading on Medium »
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How to Use unsloth/Qwen3.8–27B-GGUF in Claude Code via Ollama Without Dying in the Process? (2/2)
Medium · LLM 🏭 MLOps & LLMOps 3w ago
How to Use unsloth/Qwen3.8–27B-GGUF in Claude Code via Ollama Without Dying in the Process? (2/2)
Fitting 27 billion parameters, a context window that’s actually useful, and an overthinking agent into 24 GB of VRAM Continue reading on Towards AI »
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Your Model Is Ready. Your Release Path Is Still a Ritual
Medium · DevOps 🏭 MLOps & LLMOps ⚡ AI Lesson 3w ago
Your Model Is Ready. Your Release Path Is Still a Ritual
Originally published on TruFyre. Continue reading on Medium »
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Stop Using Ollama in Production: Why vLLM & SGLang Win
Medium · Machine Learning 🏭 MLOps & LLMOps 3w ago
Stop Using Ollama in Production: Why vLLM & SGLang Win
The infrastructure you use to prototype is quietly sabotaging your production agents. Here’s how to fix the architectural mismatch. Continue reading on Medium »
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LLM Inference Servers simply explained
Medium · Machine Learning 🏭 MLOps & LLMOps 3w ago
LLM Inference Servers simply explained
Through the example of vLLM and TensorRT-LLM. Continue reading on Medium »
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LLM Inference Servers simply explained
Medium · LLM 🏭 MLOps & LLMOps 3w ago
LLM Inference Servers simply explained
Through the example of vLLM and TensorRT-LLM. Continue reading on Medium »
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Two Acquisitions Deep, Two Still Standing: What's Really Happening to Open-Source LLM Observability
Hackernoon 🏭 MLOps & LLMOps 4w ago
Two Acquisitions Deep, Two Still Standing: What's Really Happening to Open-Source LLM Observability
Langfuse and Helicone were acquired in 2026 while Opik and Phoenix stayed independent — here's what each acquirer actually promised in writing.
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Desmistificando o Deploy de LLMs em 2026: Quando usar Ollama ou vLLM (e por que não são a mesma…
Medium · LLM 🏭 MLOps & LLMOps 4w ago
Desmistificando o Deploy de LLMs em 2026: Quando usar Ollama ou vLLM (e por que não são a mesma…
Olá, pessoal. Continue reading on Medium »
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¿Cómo usar unsloth/Qwen3.8–27B-GGUF
Medium · LLM 🏭 MLOps & LLMOps 4w ago
¿Cómo usar unsloth/Qwen3.8–27B-GGUF
Son las once de la noche. Tienes 27 mil millones de parámetros descansando cómodamente en tu GPU, Claude Code instalado y ollama serve… Continue reading on Medi
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Medium · Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
MLOPS LIFE CYCLE
MLOps, short for machine learning operations, is a set of practice employed to make machine learning model development deployable, usable… Continue reading on M
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Medium · DevOps 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
MLOPS LIFE CYCLE
MLOps, short for machine learning operations, is a set of practice employed to make machine learning model development deployable, usable… Continue reading on M
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¿Cómo usar unsloth/Qwen3.8–27B-GGUF
Medium · LLM 🏭 MLOps & LLMOps 1mo ago
¿Cómo usar unsloth/Qwen3.8–27B-GGUF
Son las once de la noche. Tienes 27 mil millones de parámetros descansando cómodamente en tu GPU, Claude Code instalado y ollama serve… Continue reading on Lati
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DORA Metrics for ML Model Deployment: How Software Delivery Performance Applies to MLOps Pipelines
Medium · DevOps 🏭 MLOps & LLMOps 1mo ago
DORA Metrics for ML Model Deployment: How Software Delivery Performance Applies to MLOps Pipelines
DORA Metrics for ML Model Deployment: How Software Delivery Performance Applies to MLOps Pipelines Continue reading on Women in Technology »
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Qwen3.8–27B-FP8 on Your Mac: 4 Ways to Run It (and When You Shouldn’t)
Medium · LLM 🏭 MLOps & LLMOps 1mo ago
Qwen3.8–27B-FP8 on Your Mac: 4 Ways to Run It (and When You Shouldn’t)
Complete guide to local deployment — MLX, GGUF, Ollama, LM Studio — plus the cloud alternative that might save you hours. Continue reading on Medium »
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Medium · Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
Production'da ML Modeli Öldüğünde Kim Fark Eder? — Drift Tespiti ve Otomatik Retrain Pipeline'ı
PSI + KS testleri, FastAPI, Prometheus, MLflow ve auto-retrain ile uçtan uca mini MLOps mimarisi Continue reading on Medium »
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MLOps from Zero: How ML Models Reach and Stay in Production
Medium · Machine Learning 🏭 MLOps & LLMOps ⚡ AI Lesson 1mo ago
MLOps from Zero: How ML Models Reach and Stay in Production
Training a machine-learning model is only the beginning. The real challenge is getting it into the real world, keeping it reliable, and… Continue reading on Med
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MLflow in Production: Serving Models and Building the Full MLOps Loop
Medium · Machine Learning 🏭 MLOps & LLMOps 1mo ago
MLflow in Production: Serving Models and Building the Full MLOps Loop
This post answers: how does anyone outside your notebook actually use the model you trained? That’s model serving, and it’s the piece that… Continue reading on
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7 Best Self-Hosted Inference Servers for Open-Source Models, Compared (2026)
Hackernoon 🏭 MLOps & LLMOps 1mo ago
7 Best Self-Hosted Inference Servers for Open-Source Models, Compared (2026)
7 self-hosted inference servers compared: vLLM, SGLang, Ollama, TEI, LocalAI, Dynamo-Triton & SIE. Choose the right one based on your workload, not the brand.
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Deploying Phi-3 with vLLM on NVIDIA Triton Using Triton Control
Medium · Machine Learning 🏭 MLOps & LLMOps 1mo ago
Deploying Phi-3 with vLLM on NVIDIA Triton Using Triton Control
Serve Phi-3 through Triton’s vLLM backend while keeping its model paths portable from a development workspace to an S3-backed deployment. Continue reading on Da
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Concept Drift Engineering: Bagaimana Mendeteksi dan Menangani Model Machine Learning yang Mulai…
Medium · Machine Learning 🏭 MLOps & LLMOps 1mo ago
Concept Drift Engineering: Bagaimana Mendeteksi dan Menangani Model Machine Learning yang Mulai…
Memahami data drift, concept drift, deteksi statistik, dan arsitektur adaptive learning untuk machine learning di production Continue reading on Medium »
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