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Instance Type

Instance Types

Premium

Premium are ideal for enterprise-grade, business-critical, and latency-sensitive applications, including any workload that benefits from consistent performance with the latest hardware.

Latest Hardware

The key differentiator for Premium instances is its guaranteed minimum hardware class, which ensures your workloads run on the latest AMD EPYC™ CPUs.

Dedicated Competition-Free Resources

CPU cores on a Premium instance are accessible only to that instance (not other instances on the same hardware). Because the vCPU cores are not shared, no other Compute Instances can utilize them. Your instance never has to wait for another process, enabling your software to run at peak speed and efficiency. This allows you to run workloads that require full-duty work (100% CPU all day, every day) at peak performance.

Premium Compute Instances are suitable for workloads that benefit a balanced set of resources and consistent performance. This includes:

  • Enterprise-grade production applications

  • Audio and video transcoding

  • Big data (and data analysis)

  • Scientific computing

  • Machine learning and AI

Available Locations

The locations currently available for sale are：

Locations
Amsterdam(Europe)
Chennai(Asia percific)
Chicago(America)
Jakarta(Asia percific)
Los Angeles(America)
Madrid(Europe)
Miam(America)
Milan(Europe)
Osaka(Asia percific)
Paris(Europe)
Sao Paulo(America)
Seattle(America)
Stockholm(Europe)

Dedicated CPU

Dedicated CPU plans are ideal for nearly all production applications and CPU-intensive workloads, including high traffic websites, video encoding, machine learning, and data processing. If your application would benefit from dedicated CPU cores as well as a larger amounts of memory, see High Memory Compute Instances.

Dedicated Competition-Free Resources

A Dedicated CPU Compute Instance provides entire vCPU cores accessible only to you. Because the vCPU cores are not shared, no other Compute Instances can utilize them. Your instance never has to wait for another process, enabling your software to run at peak speed and efficiency. This allows you to run workloads that require full-duty work (100% CPU all day, every day) at peak performance.

Dedicated CPU Compute Instances are suitable for almost any workload that requires consistently high performant CPU resources. This includes:

  • Production websites and e-commerce sites

  • Applications that required 100% sustained CPU usage.

  • Applications that might be impacted by resource contention.

  • CI/CD toolchains and build servers

  • Game servers (like Minecraft or Team Fortress)

  • Audio and video transcoding

  • Big data (and data analysis)

  • Scientific computing

  • Machine learning and AI

  • High Traffic Databases (Galera, PostgreSQL with Replication Manager, MongoDB using Replication Sets)

  • Replicated or Distributed Filesystems (GlusterFS, DRBD)

Available Locations

Dedicated CPU instances are available across all locations.

GPU

GPU plans are ideal for highly specialized workloads that would benefit from dedicated NVIDIA GPUs, including machine learning, AI, and data/graphics processing.

On-demand

Between purchasing, installing, and maintaining GPUs, the cost of ownership is often high. GPU Compute Instances allow you to leverage the power of GPUs while benefiting from the main value proposition of cloud: turning a CapEx into an OpEx.

Market Leading Hardware

Cloudsway uses NVIDIA Quadro RTX 6000 GPUs, currently considered one of the best in market. With CUDA, Tensor, and RT cores in each unit, these GPUs support any use cases associated with parallel processing, deep learning, or ray tracing.

Dedicated Competition-Free Resources

A GPU Compute Instance’s vCPU cores are dedicated and accessible only to you. Because the vCPU cores are not shared, no other Compute Instances can utilize them. Your instance never has to wait for another process, enabling your software to run at peak speed and efficiency. This allows you to run workloads that require full-duty work (100% CPU all day, every day) at peak performance.

GPU Compute Instances are suitable for specialized workloads that are optimized for GPUs:

  • Machine learning and AI

  • Big data processing

  • Video encoding

  • Graphics processing

GPU Specifications

Each of the NVIDIA Quadro RTX 6000 GPUs on the Cloudsway are equipped the following specifications:

Specification Value
GPU Memory (VRAM) 24 GB GDDR6
CUDA Cores (Parallel-Processing) 4,608
Tensor Cores (Machine & Deep Learning) 576
RT Cores (Ray Tracing) 72
RTX-OPS 84T
FP32 Performance 16.3 TFLOPS

What are GPUs?

GPUs (Graphical Processing Units) are specialized hardware originally created to manipulate computer graphics and image processing. GPUs are designed to process large blocks of data in parallel making them excellent for compute intensive tasks that require thousands of simultaneous threads. Because a GPU has significantly more logical cores than a standard CPU, it can perform computations that process large amounts of data in parallel, more efficiently. This means GPUs accelerate the large calculations that are required by big data, video encoding, AI, and machine learning.

Cloudsway GPU Instances include NVIDIA Quadro RTX 6000 GPU cards with Tensor, ray tracing (RT), and CUDA cores.

Available Locations

The locations currently available for sale are：

Locations
Atlanta(America)
Frankfurt(Europe)
Mumbai(Asia percific)
Newark(America)
Singapore(Asia percific)

High Memory

High Memory plans are ideal for production applications and CPU-intensive workloads that value greater memory over CPU resources, including caching systems, high-performance databases, and in-memory data processing.

Fast Data Retrieval and In-Memory Processing

Optimized for in-memory databases and caches, the High Memory Instance is perfect for high-performance querying and is a good addition to any enterprise-level database solution.

Keep recently-accessed data in memory to speed up retrieval times. Use a High Memory Instance as a Memcached or Redis in-memory data store for better application performance.

Run queries on large data volumes. High memory Instance makes it possible to process your data completely in memory and quickly get query results.

Dedicated Competition-Free Resources

A High Memory Instance provides entire vCPU cores accessible only to you. Because the vCPU cores are not shared, no other Compute Instances can utilize them. Your instance never has to wait for another process, enabling your software to run at peak speed and efficiency. This allows you to run workloads that require full-duty work (100% CPU all day, every day) at peak performance.

High Memory Compute Instances are suitable for workloads that value much larger amounts of memory than other plans of a similar price. This includes:

  • Any production application that requires large amounts of memory

  • In-memory database caching systems, such as Redis and Memcached

  • In-memory databases, such as possible with NoSQL and other solutions

  • Big data processing (and data analysis)

Available Locations

High Memory instances are available across all locations.

Shared CPU

Shared plans are ideal for development servers, staging servers, low traffic websites, personal blogs, and production applications that may not be affected by resource contention.

Shared CPU Compute Instances are suitable for general workloads that value cost over maximum performance:

  • Production applications with low to medium CPU requirements and are not affected by resource contention

  • Applications that require a balanced set of resources

  • Medium to low traffic websites, such as for marketing content and blogs

  • Forums

  • Development and staging servers

  • Low traffic databases

  • Worker nodes within a container orchestration cluster

Available Locations

Dedicated CPU instances are available across all locations.