VIRTUAL COMPUTE PLANS

Choose from flexible virtual machine configurations designed for performance, scalability, and cost efficiency. Each plan offers balanced CPU, memory, and storage resources to match workloads ranging from development to high‑performance computing.

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Entry Compute Plan

  This plan is built for lightweight workloads that don’t require large compute resources. It’s ideal for small websites, personal projects, development environments, staging servers, and low‑traffic applications that need predictable performance at a low cost. Perfect for users who want a simple, reliable VM to run essential services without over‑provisioning

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Standard Compute

  A balanced option for general business workloads, this plan supports moderate traffic and multi‑service applications. It’s well‑suited for CMS‑based websites, small databases, internal business tools, and production environments that need more headroom than entry‑level compute. A strong choice for growing teams and stable workloads.

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High Performance Compute

Designed for heavier workloads, this plan delivers the compute power needed for databases, analytics engines, multi‑tier applications, and resource‑intensive services. It’s ideal for organizations running production systems that demand consistent performance, higher concurrency, and faster processing.

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Memory‑Optimized VM

Built for memory‑heavy applications, this plan is ideal for in‑memory databases, caching layers, JVM‑based applications, and workloads that rely on large datasets. It’s a strong match for organizations running data‑driven services that require fast access to memory and minimal latency.

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Compute‑Optimized VM

  This plan is tailored for CPU‑intensive tasks such as batch processing, API workloads, automation pipelines, and real‑time analytics. It’s the right fit for developers and businesses that need high clock speeds and strong compute throughput without requiring large memory allocations.

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GPU‑Enabled VM

  This plan provides GPU acceleration for AI inference, machine learning workloads, rendering tasks, and GPU‑dependent applications. It’s ideal for developers, researchers, and businesses working with neural networks, image processing, or parallel compute tasks that benefit from dedicated GPU resources.