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AWS Graviton

by | May 24, 2022

AWS Graviton’s first generation processors feature custom silicon and 64-bit Neoverse cores.

Bobcares, as part of our AWS Support Service, responds to all inquiries, large or small.

Let’s take a closer look at AWS Graviton.

AWS Graviton

It is a series of server processors based on Arm architecture that AWS released in 2018 for customers of its Amazon Elastic Compute Cloud (EC2) virtual machine instances. They decided on an open Arm architecture. This meant saving money by not having to design a new chip from scratch. Instead, they modified an existing Arm architecture to work with AWS EC2 instances.

Why AWS Graviton processors?

  1. It provides more options for selecting EC2 instances.
  2. Targets web servers and other Arm-based applications.
  3. Increased availability and security while lowering virtualization costs.
  4. Finally, Align good server performance with lower customer prices.

AWS most likely desired an in-house family of server processors designed to work the way AWS does rather than relying on Intel and AMD for innovation.

When we should use AWS Graviton Processors?

We can use AWS Graviton and Graviton2 for web servers, log processing, video encoding, electronic design automation, and machine learning via a CPU interface. Remember that if we are currently using X86 servers, we will need to re-architect our application to run on the Arm architecture. Then, we would see a significant decrease in price performance as a result of the trouble, but only over time.

Benefits Of Using AWS Graviton

Reduced costs, low latency, improved scalability, increased availability, and increased security are the most significant benefits.

  1. Cost-effective

    The Arm architecture serves as the foundation for the processor family. This implies that they are most likely System on a Chip (SoC). This translates to lower power consumption costs while providing satisfactory performance to the majority of customers.

  2. Eco-system support

    The 64-bit Arm Neoverse core architecture underpins AWS Graviton and Graviton2. The configuration supports  a number of Linux-based operating systems. Amazon Linux 2, SUSE, and Red Hat are among them.

  3. Effective CPU power

    AWS Graviton processors also outperform traditional architecture by up to 3.45 percent. They also offer simpler processor implementations than X86 processors.

  4. Built for general purpose

    AWS Graviton cores are also designed to boost efficiency in servers, mid-sized data storage processes, microservices, and cluster computing.

  5. Offers burstable workload

    Users can choose from wide range of burstable workload services, such as scale microservices, small and medium database services, virtual desktops, and variety of critical business applications.

  6. Build on computer intensive model

    The processors are also designed for computer-intensive tasks such as HD video performance computing, video encoding, gaming, and CPU-based computer learning processes.

  7. Offers enhanced networking

    The Elastic Fabric Operator’s (EFO) networking capabilities should support a C6gn network at 100 Gbps.

AWS Graviton processors are optimised for cloud workloads in Amazon EC2. AWS Graviton2 processors outperform first-generation AWS Graviton processors in terms of performance and capabilities. For workloads in Amazon EC2, Graviton2-based instances provide the best price performance. Application servers, microservices, high-performance computing (HPC), CPU-based machine learning (ML) inference, video encoding, electronic design automation, gaming, open-source databases, and in-memory caches are among the workloads supported by Graviton2-based instances.

Many AWS services, such as Amazon Aurora, Amazon ElastiCache, Amazon EMR, AWS Lambda, and AWS Fargate, support Graviton2-based instances for a fully managed experience with significant cost and performance benefits. The AWS Graviton3 processors are the most recent addition to the Graviton processor family. When compared to AWS Graviton2 processors, they provide up to 25% better compute performance, up to 2x higher floating-point performance, and up to 2x faster cryptographic workload performance. For ML workloads, AWS Graviton3 processors deliver up to 3x better performance than AWS Graviton2 processors, including support for bfloat16. They also support DDR5 memory, which offers 50% more memory bandwidth than DDR4 memory.

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Conclusion

To sum up, our Support team went over the specifics of AWS Graviton.

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