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Cloud Infrastructure Insights

Expert tutorials, benchmarks, and guides on GPU servers, AI deployment, VPS hosting, and cloud computing.

Marcus Chen - Senior Cloud Infrastructure Engineer
Written by our expert

Marcus Chen

Senior Cloud Infrastructure Engineer & AI Systems Architect

10+ years of experience in GPU computing, AI deployment, and enterprise hosting. Former NVIDIA and AWS engineer. Stanford M.S. in Computer Science. I help businesses deploy AI models and optimize cloud infrastructure.

1258+ Articles
10+ Years Exp.
50+ AI Deployments
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DeepSeek R1 Self-Hosting Tutorial - diagram showing local Ollama deployment with Open WebUI interface and cloud GPU infrastructure options Servers
Marcus Chen
12 min read

Self-hosting DeepSeek R1 gives you complete control over one of the most powerful open-source AI models available. This comprehensive DeepSeek R1 Self-Hosting Tutorial covers everything from local installation to production-grade cloud deployment, whether you're running it on consumer hardware or enterprise GPU servers.

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Ollama Cloud Hosting Benchmarks 2026 - Performance comparison chart showing throughput, latency, and concurrent user handling across different deployment scenarios and hardware configurations for LLM inference serving Servers
Marcus Chen
13 min read

Ollama Cloud Hosting Benchmarks 2026 show significant performance differences compared to alternatives like vLLM. This guide helps you understand real-world metrics, deployment scenarios, and when Ollama is the right choice for your infrastructure needs.

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31 On Vllm Guide - Featured image for: Deploy LLaMA 3.1 on vLLM Guide for Beginners Servers
Marcus Chen
13 min read

Learn how to deploy LLaMA 3.1 on vLLM with this comprehensive guide. From environment setup to production optimization, master the complete deployment process for high-performance LLM inference.

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Best GPU VPS for Open Source LLMs - RTX 4090 and H100 servers comparison for LLaMA 3.1 and DeepSeek R1 inference (112 chars) Servers
Marcus Chen
6 min read

The best GPU VPS for open source LLMs in 2026 are RunPod, Lambda Labs, and Hetzner, offering RTX 4090 and A100/H100 options with low hourly rates starting at $0.20/GPU-hour. These providers excel in PCI passthrough for vLLM and Ollama deployments, delivering 40+ tokens/second on LLaMA 3.1 70B. Choose based on your workload for unbeatable performance-to-price ratio.

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SageMaker Model Monitoring Best Practices - dashboard with drift detection charts and seasonal alerts (98 chars) Servers
Marcus Chen
6 min read

SageMaker Model Monitoring Best Practices are essential for maintaining model accuracy in production, especially during seasonal fluctuations. This guide covers 10 key strategies including baseline creation, drift detection, and automated alerts. Implement these to scale SageMaker endpoints dynamically and cut costs.

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