CPU and Memory

CPU and RAM characteristics of Nirvana Cloud Virtual Machines.

Nirvana Cloud supports VMs using any combination of CPU, RAM, and storage. You are not limited to preset sizing options, allowing you to design virtual machines that align precisely with your application requirements. By adjusting the compute, memory, and storage sliders, you can easily customize the size of your virtual machine.

Unique ConfigurationFully customizable VM sizes, ensuring each VM is tailored to individual project requirements.
User InterfaceUsers can effortlessly adjust compute, memory, and storage parameters using intuitive sliders, providing a user-friendly experience.
Efficient ScalingAs your project grows or needs change, seamlessly alter configurations without complex migrations or setups.
OptimizationBy tailoring resources precisely to requirements, you can eliminate wastage and ensure cost-effectiveness, maximizing your return on investment.

E7 VM Specs

CPU Type and Specs

Nirvana Cloud utilizes the AMD EPYC 7513 chipset for its bare metal servers, offering impressive performance capabilities. The CPUs operate at clock speeds of up to 3.65 GHz, ensuring rapid data processing and application responsiveness. AMD EPYC 7513 is a server/workstation processor with 32 cores, operating at 2.6 GHz by default. The use of AMD Simultaneous Multithreading (SMT) effectively doubles the core-count to 64 threads for superior performance in various workloads, making it a top choice for diverse computing tasks.

RAM Type and Specs

Nirvana Cloud is specifically tailored for applications, such as blockchain data indexers and DeFi platforms, that demand significant RAM capacities for optimal performance. With the E7 virtual machines powered by the AMD EPYC 7003 series chipset, users benefit from efficient RAM utilization tailored for Web3 workloads. Nirvana Cloud's adaptive scalability allows users to seamlessly transition between different RAM configurations - from 8 GBs to 224 GBs - without the hassle of over-provisioning. Additionally, users can easily adjust RAM allocations directly from the VM details page, streamlining optimization and ensuring peak performance.

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