Canonical aims to bring Arm low-cost compute to the datacenter. This includes optimized Ubuntu images for AWS cloud instances, snap build service for Arm, and support for Arm in all major open infrastructure platforms like Kubernetes, Ceph, and OpenStack.
Canonical is the publisher of Ubuntu – a popular and secure Linux operating system for modern applications from devices and edge to datacenter and cloud. Ubuntu is used in cutting-edge research, performance-sensitive workloads like machine learning, and includes carrier-grade stability and security. Ubuntu is available on a large range of Arm platforms. As the reference platform for Kubernetes on major public clouds, Canonical offers official support for Google, Microsoft, and Amazon. Charmed Kubernetes and MicroK8s are distributions of Kubernetes available on virtually any substrate and support architectures such as x86, Arm, and Z.
Ubuntu is everywhere
From cloud and datacenter to edge and devices: Ubuntu is the only operating system for virtually all platforms and architectures. From popular maker boards such as the Raspberry Pi 4 to commercial Arm-based infrastructure, Ubuntu just works. Using Ubuntu, developers know that they get the latest kernel combined with the best open source ecosystem (Ceph, Kubernetes, AI, blockchain) - no matter where this is deployed.
Ubuntu is open, secure and enterprise ready
Ubuntu comes with the latest open source software and offers up to ten years of security maintenance coverage and support. With the support of a strong security team, Ubuntu users are assured that they enjoy the most comprehensive coverage available for all open source components. Many Arm partners, major telecom companies and financial institutions use Ubuntu with their most mission-critical workloads.
Cloud native and on premise
The inclusion of practically all development environments makes Ubuntu the most versatile Linux available today. Hyperscalars, born on the cloud, use Ubuntu for its scalability, modern kernel, and battle-hardened stability. MicroK8s provides certified Kubernetes solution for workstations, Continuous Integration and Continuous Delivery (CI/CD) and edge use cases on Arm. Automatic GPU acceleration is included, making AI and ML easy and immediate.
|Not answered||the best chipset/motherboard for my project||0 votes||50 views||0 replies||Started yesterday by Sebastiaan ProjectG||Answer this|
|Not answered||How to set up stage-2 translation table||0 votes||60 views||0 replies||Started 4 days ago by irakatz||Answer this|
|Not answered||LPC1857 (MCB1800) Setup CAN Bus Port Manually||0 votes||83 views||0 replies||Started 7 days ago by Nicholas_||Answer this|
|Suggested answer||casal instruction is slower than ldxr/stlxr in glibc atomic_compare_exhchange||0 votes||227 views||2 replies||Latest 15 days ago by zca||Answer this|
|Not answered||CORTEX-A8||0 votes||77 views||0 replies||Started 15 days ago by JackShan||Answer this|
|Not answered||Debug problem of FM4-S6E2CC-ETH||0 votes||88 views||0 replies||Started 16 days ago by yuanxing1992||Answer this|
|Not answered||the best chipset/motherboard for my project Started yesterday by Sebastiaan ProjectG||0 replies 50 views|
|Not answered||How to set up stage-2 translation table Started 4 days ago by irakatz||0 replies 60 views|
|Not answered||LPC1857 (MCB1800) Setup CAN Bus Port Manually Started 7 days ago by Nicholas_||0 replies 83 views|
|Suggested answer||casal instruction is slower than ldxr/stlxr in glibc atomic_compare_exhchange Latest 15 days ago by zca||2 replies 227 views|
|Not answered||CORTEX-A8 Started 15 days ago by JackShan||0 replies 77 views|
|Not answered||Debug problem of FM4-S6E2CC-ETH Started 16 days ago by yuanxing1992||0 replies 88 views|