Cloud InsightsGuides & Industry Trends
Cloud tutorials, product updates, and industry insights from the CloudPe team.
Browse all cloud infrastructure articles, tutorials, and updates from the CloudPe team.
Why Is the NVIDIA L4 Becoming the Go-To GPU for AI Inference and Video Workloads?
Is the NVIDIA L4 GPU the go-to for AI inference and video? See its specs, 24GB memory limits, T4 and A100 comparison, and what it costs in India today.
Reserved vs. On-Demand H200 Pricing: Which Saves More Long-Term?
Compare reserved and on-demand H200 pricing in India. Explore break-even GPU hours, utilisation, provider rates, and workload patterns to find the lower long-term cost.
RAM vs VRAM: Why AI Developers Confuse These and Why It Matters
Detailed explanation of the difference between RAM and VRAM, role of each in AI model training and how to identify what is suitable for which use case.
Why Host GPU-as-a-Service in India? Latency, Cost, and Compliance Explained
Discover why GPU as a Service in India matters for AI workloads. Compare latency, GPU pricing, data residency, scalability and cloud GPU providers.
What does an AI agent actually need from your GPU infrastructure?
Does your AI agent need a GPU? Here's how to size GPU infrastructure for AI agents correctly, covering VRAM, concurrency, and India's DPDP angle.
CPU vs GPU vs TPU: Which Compute Is Right for Your AI Workload?
CPU vs GPU vs TPU explained simply. Compare performance, AI training, inference, cost, architecture, and find the right compute for your AI workload.