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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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ARM server performance for language model hosting - Modern ARM processor delivering efficient inference on Graviton, Axion, and Cobalt platforms Servers
Marcus Chen
14 min read

ARM-based server architecture is transforming language model hosting with significant cost reductions and improved energy efficiency. This comprehensive guide covers ARM server performance for language model hosting, comparing deployment options and providing practical strategies for optimizing small and large language models.

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Featured image for: GPU Requirements for Running DeepSeek Locally Explained Servers
Marcus Chen
15 min read

Running DeepSeek models locally requires careful hardware planning. This comprehensive guide covers GPU requirements for all DeepSeek variants, from consumer-grade RTX cards to enterprise H100 systems, with specific recommendations for optimal performance across different workloads and budgets.

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Cost optimization for open source LLM deployment - Detailed infographic on quantization, caching, and hybrid strategies reducing costs by 50-70% (98 characters) Servers
Marcus Chen
6 min read

Cost optimization for open source LLM deployment transforms high-cost AI into affordable reality. This guide details strategies like quantization, caching, and provider comparisons to slash bills while maintaining performance. Expect 30-70% savings with practical steps for self-hosting LLaMA or DeepSeek.

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Self-hosting LLMs vs cloud providers comparison - detailed infographic table highlighting cost savings, latency, and scalability pros cons (98 chars) Servers
Marcus Chen
5 min read

Self-hosting LLMs vs cloud providers comparison shows self-hosting excels in cost and privacy for steady workloads, while cloud shines for scalability and ease. This guide breaks down hardware needs, latency, and real-world benchmarks. Discover which fits your AI strategy in 2026.

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Based on the 2026 cloud infrastructure trends and my - H100 GPU server running LLaMA inference in hybrid cloud setup (112 chars) Servers
Marcus Chen
6 min read

Based on the 2026 cloud infrastructure trends and my experience deploying LLMs at scale, this guide reveals my top hosting choice for open source models like DeepSeek. Learn self-hosting vs cloud comparisons, GPU needs, and hybrid strategies to cut costs without sacrificing performance.

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