Dedicated CPU Thread for Exclusive Scenarios
The machine types with a dedicated CPU thread are available for selection. Therefore, there is no need to share resources with other users. You can utilize the CPU with maximum efficiency and stability.
Compute Instance is a virtual machine (VM) that consists of a combination of CPU, memory, and network capabilities. Typically, an Compute Instance is used to run website or applications. NIPA Cloud Space allows you to select the best combination of resources to meet your requirements and workloads.
The machine types with a dedicated CPU thread are available for selection. Therefore, there is no need to share resources with other users. You can utilize the CPU with maximum efficiency and stability.
Our Compute Instance is powered by the 2nd and 3rd Generation AMD EPYC™ (ROME) processor, which has a high performance per core along with a large L3 cache and 3200Mhz DDR 4 RAM to enable the low latency access of data.
Explore how NIPA Cloud Space offers superior vCPU performance at a lower cost than other global clouds.
As selecting the all purpose and compute intensive machine types, we provide the data centers that are available for any deployment with a guaranteed 99.982% service level agreement (SLA).
As a benefit of using AMD processors, NIPA Cloud Space is additionally protected by AMD Infinity Guard, which help protect your data from cyber attacks, prevent downtime, and reduce resource use. Therefore, it can be ensured that your data on the Compute Instance is secure.

Our Compute Instance are available for scaling up or down with nearly no downtime. This is advantageous to your company in terms of cost efficiency and prevents any loss from stopping or restarting Compute Instance while scaling.
To assist you plan resource usage for your project, we provide a resource monitoring graph that displays Compute Instance usage of CPU utillization, memory usage, network bits, network package, disk bytes, and disk operations.
Docker Image Caching is caching the images that were pulled by other Compute Instance. Reusing the exist cache image can help reduce Docker image build times.

Our Compute Instance are available for scaling up or down with nearly no downtime. This is advantageous to your company in terms of cost efficiency and prevents any loss from stopping or restarting Compute Instance while scaling.
To assist you plan resource usage for your project, we provide a resource monitoring graph that displays Compute Instance usage of CPU utillization, memory usage, network bits, network package, disk bytes, and disk operations.
Docker Image Caching is caching the images that were pulled by other Compute Instance. Reusing the exist cache image can help reduce Docker image build times.
Our Compute Instance has 3 machine types provided. all purpose, compute intensive, and shared-core. As detailed below, you can select the machine type that best suits your application requirements and budget.
2 GB of memory for each vCPU
Dedicated CPU thread
Dedicated memory for high stability and low latency
10 Gbps / 10 Gbps network bandwidth (upload/download)*
Up to 99.95% SLA
This machine type is designed for CPU-intensive applications, including High-performance web server, batch processing, Machine Learning or Deep Learning, video encoding and active front-end web servers.
*The maximum bandwidth of an Compute Instance used in the VPC network, not the internet bandwidth.