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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.

1041+ Articles
10+ Years Exp.
50+ AI Deployments
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Best self-building website hosting providers compared - dashboard showing features, pricing, and performance metrics for Hostinger, SiteGround, and Cloudways platforms Servers
Marcus Chen
19 min read

Choosing what's the best self building website hosting provider requires balancing ease of use, affordability, and performance. This comprehensive guide reviews top platforms like Hostinger, SiteGround, and Cloudways, helping you find the perfect hosting solution with built-in website builders for any skill level.

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AWS Cost Optimization for Ollama Inference - Pricing comparison table of g5 vs p4d instances for Llama 3 deployment (112 chars) Servers
Marcus Chen
5 min read

AWS Cost Optimization for Ollama Inference transforms expensive GPU deployments into budget-friendly operations. Learn proven tactics like spot instances and model quantization to slash bills while maintaining high throughput. This guide delivers actionable steps for EC2, EKS, and SageMaker setups.

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Optimize Ollama GPU Memory in AWS SageMaker - Benchmark chart of VRAM usage before/after quantization on ml.g5.12xlarge (112 chars) Servers
Marcus Chen
6 min read

Running Ollama in AWS SageMaker demands precise GPU memory optimization to avoid out-of-memory crashes and maximize token throughput. This guide covers instance choices, Docker setups, quantization techniques, and real-world benchmarks. Achieve 2-5x faster inference while minimizing expenses.

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Scale Ollama Server with AWS EKS Kubernetes - EKS control plane with GPU node groups, Ollama pods scaling via HPA, load balancer distributing inference traffic (98 chars) Servers
Marcus Chen
7 min read

Scale Ollama Server with AWS EKS Kubernetes by creating a managed cluster, adding GPU nodes, and deploying via Helm charts. This approach ensures horizontal scaling, load balancing, and fault tolerance for demanding AI workloads. Follow our detailed guide for optimal performance.

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