Amazon Web Services (AWS) Graviton is a fully managed, cloud-based platform that enables companies to share data from any source securely. This solution provides a secure way for companies to share large amounts of sensitive information by providing an integrated platform with strong auditing and governance features, which are important in regulated industries such as healthcare and financial services. In this post, we’ll look at what AWS Graviton is and how you can use it to run AI applications.
AWS Graviton is the next-generation processor by Amazon.
AWS Graviton is the next-generation processor by Amazon. It is a custom-built processor based on 64-bit Arm Neoverse cores and was announced at AWS re: Invent 2018. AWS Graviton is available in EC2 M6g and C6g instances, which are designed with deep learning workloads in mind. AWS Graviton is a custom-built processor optimized for deep learning workloads. It has been custom-built to run on AWS Cloud. The Graviton CPUs provide up to 2x better performance per dollar than the previous generation of processors.
The Graviton processors also provide up to 20% more memory bandwidth per core and up to 1.5x more floating-point performance per dollar than the previous generation of processors. The Graviton CPUs are available in C6g and M6g instances. It is based on 64-bit Arm Neoverse cores and is available in EC2 M6g and C6g instances. These same cores are used in many devices, including smartphones and tablets.
What are the use cases of AWS Graviton?
It can be used for a variety of workloads like Web servers, batch processing, containerized microservices, caching fleets, distributed data stores, and forwarding proxies.
- Web and Mobile Applications: AWS Graviton processors are well suited for web and mobile application workloads such as dynamic web serving, API serving, caching, search, media streaming, encoding, gaming, and more.
- Big Data Analytics: AWS Graviton processors are well suited for big data analytics workloads such as data warehousing, business intelligence, and machine learning.
- High-Performance Computing: AWS Graviton processors are ideal for high-performance computing (HPC) workloads such as molecular modeling, seismic processing, reservoir simulation, weather modeling, and more.
- Internet of Things (IoT): AWS Graviton processors are well suited for IoT workloads such as edge analytics, device management, and stream processing.
- Serverless Computing: AWS Graviton processors are ideal for serverless architectures such as AWS Lambda, AWS Fargate, and AWS Step Functions.
How nOps can help you with AWS Graviton Processors?
Here’s how nOps can help you with AWS Graviton Processors. You can’t go wrong with Graviton. It’s the perfect AWS cloud computing service for your next project. Well, it is the right decision for sure. But before proceeding, make sure you understand how your cloud computing needs change daily and night. The first step in choosing the optimum infrastructure is understanding your cloud spending and determining precisely what impacts and how. You should understand the monthly cost of your AWS bill and the how or why in the absence of genuine cost awareness. This is where nOps Cloud Cost Optimization enters for optimizing AWS graviton processors.
With our ShareSave solution, you can consolidate AWS cloud accounts into a single pricing model and offer ongoing visibility to change requests. As a result, you can know which AWS services cost you the most and why. This helps you efficiently manage cloud costs and examine everything from the big picture to the specific components that drive your cloud spending.
