Cloud Compute | Oracle Polska

Zaloguj

Wstecz Konto Oracle

Konto w chmurze Zaloguj się do chmury

Nie znaleziono wyników

Twoje wyszukiwanie nie dało żadnych wyników

A wide range of IaaS compute options with the best price-performance available

Compute options range from VMs to GPUs to bare metal servers and include options for dense I/O workloads, high-performance computing (HPC), and AMD EPYC processors.

Pricing

Available Cloud Compute Instances

Bare Metal Servers

52 or 64 full cores on Intel Xeon or AMD EPYC processors
512–768 GB RAM
Up to 1 PB block storage
2x 25 Gbps network interfaces

Oracle Autonomous Linux

Automated package and patch management
Security and compliance reporting and enforcement
Integration with Oracle OS Management Service
No additional cost including full Oracle Linux Premier Support

Container Engine for Kubernetes

Scaling storage from 256 GB to 40 TB
Private registry for storing and sharing container images
Powered by enterprise-grade cloud infrastructure
Deploy into a secure and private virtual cloud network

Container Registry

Store and share container images within the same regions as the deployments
Access to push and pull images with the Docker CLI
Images can be pulled directly into a Kubernetes deployment
An integrated, performant platform offering

Virtual Machines and Bare Metal (GPU)

28–52 cores, 192-768 GB RAM
2–8 Tesla GPUs (Pascal or Volta)
Up to 1 PB block storage
2x 25 Gbps network interfaces

Virtual Machines

1–24 cores
7–320 GB RAM
Up to 1 PB block storage
Up to 24.6 Gpbs network interfaces

Cloud Compute Key Features

Oracle Cloud Infrastructure Compute offers significant price-performance and control improvements compared to on-premise data centers, while providing the elasticity and cost savings of the public cloud. Oracle has a longstanding reputation for providing technologies that empower enterprises to solve demanding business problems—and Oracle Cloud Infrastructure is the first cloud that's purpose-built to enable enterprises to run business-critical production workloads.

Flexible Image Management

Oracle supports an expansive list of Microsoft Windows Server and enterprise Linux operating systems, including Oracle Linux, CentOS, Ubuntu, and many others. Customers can run their own operating systems and hypervisors on Oracle compute instances and they can use the same image across configuration sizes. Users can get business applications images from Oracle or its robust ecosystem of third-party partners.

High Availability

Deploy applications across multiple regions, availability domains (ADs), and fault domain configurations. Each AD is housed in a highly secure building and provides fully independent resources such as power generators, cooling equipment, networking, and servers. Fault domains partition compute resources within each AD for additional protection.

Performance

Avoid the performance overhead associated with virtualization that impacts other public clouds. Oracle's approach to cloud networking ensures servers running virtual machines (VMs) aren't taxed by network virtualization operations. Oracle does not oversubscribe core counts or networks so users do not have to worry about noisy neighbors. Oracle also provides high-core, specialty compute instances and 100 Gbps of networking for remote direct memory access (RDMA) with high-performance computing (HPC) instances.

Scalability

Compute instance configurations and pools make it easy to standardize configurations and manage groups of identical compute instances. Autoscaling provides the ability to scale a pool of resources up and down automatically in response to changing business demands so that you pay only for the resources needed. AMD EPYC processor-based compute instances provide the highest memory bandwidth and lowest cost per core-hour. From single-processor VMs to 64-core bare metal servers, Oracle offers cloud compute options that meet every need.

Price

Oracle offers low, predictable pricing and improved price-performance compared to other public clouds. Oracle counts processors by Oracle compute units (OCPUs) and each OCPU includes the complete processor core along with the hyperthreading unit. Oracle does not count processors by virtual central processing units (vCPUs), fractional central processing units (CPUs), oversubscribed cores, or similar constructs used by competing public clouds. The price per OCPU is the same across VMs and bare metal compute instances. AMD EPYC processor-based compute instances are about 65 percent less than comparable instances on other clouds.

Compute Customer Success Stories

To customers looking for the best operational cost versus performance trade-off, Frozen Mountain recommends Oracle for running LiveSwitch in the cloud.

We needed the best price-performance available. We saw performance double versus our prior solution, which translates directly into cost savings. Dollar-for-dollar, you just get more compute with Oracle Cloud Infrastructure.

Anton Venema, CTO, Frozen Mountain

Zenotech provides the software and a cloud brokerage service, enabling their clients–from aerospace giants to small engineering firms–to react quickly to the ever-changing computational engineering market place.

For our customer workloads, scalable performance in the cloud is driven by the network and storage architecture. In both those areas, Oracle Cloud Infrastructure is delivering a significant step change in the price-performance available to our HPC cloud customers.

Jamil Appa, Co-Founder and Director, Zenotech

Oracle Data Cloud (ODC) provides the world’s largest cloud-based data management platform for marketing, which helps enterprises personalize online, offline, and mobile marketing campaigns with richer and more actionable information about targeted audiences.

Oracle Cloud Infrastructure hardware is simply on another level, from the bare metal servers with NVMe SSD drives to the network backbone. We obtain fabulous performance with very low latency for our end customers. Dense I/O compute instances with 25 Gbps of bandwidth and millions of read and write IOPS is a game changer for big data workloads like ours.

Matt Abrams | VP of Engineering