AWS Elastic Inference allows you to attach low-cost GPU-powered inference acceleration to Amazon EC2 and SageMaker instances, enabling efficient deep learning model inference by scaling GPU resources according to your needs.
About AWS Elastic Inference
AWS Elastic Inference was introduced by Amazon Web Services in 2018 to provide cost-effective GPU-powered inference acceleration for deep learning models. It was designed to help users efficiently scale their GPU resources based on their specific inference needs without the high costs associated with dedicated GPU instances.
Strengths of AWS Elastic Inference include cost efficiency, flexibility in scaling GPU resources, and easy integration with EC2 and SageMaker. Weaknesses include potential complexity in setup and limitations in supported frameworks. Competitors include Google Cloud TPU, Azure Machine Learning, and NVIDIA Triton Inference Server.
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How to hire a AWS Elastic Inference expert
An AWS Elastic Inference expert must have skills in deep learning frameworks like TensorFlow and Apache MXNet, proficiency with Amazon EC2 and SageMaker, experience in GPU optimization, and knowledge of AWS management tools like CloudFormation and IAM for resource management and security.

Jhon K.
Skills
Software Developer with five years of experience in Java development, focusing on system architecture and DevOps. Demonstrates proficiency in Java, Spring Boot, Angular, REST API, AWS, and scalable development. Holds a degree in Systems Analysis and Development and a Pega System Architect certification, with a specialization in financial services. Contributed significantly to over four large-scale projects, achieving up to a 25% reduction in operational costs and notable improvements in system efficiency.

Vinícius N.
Skills
Back-end developer with over six years of experience specializing in Java and Spring Boot web development, alongside proficiency in Groovy and Grails. Experience includes working on high-traffic applications handling up to five million daily visits, demonstrating extensive knowledge in the Spring Boot framework, particularly in components such as spring-web, spring-data, and spring-security. Additionally skilled in HTML5, JavaScript, CSS, and AngularJS, with a strong background in Test-Driven Development (TDD) and Behavior-Driven Development (BDD). Possesses a keen interest in enhancing application scalability, infrastructure, cloud computing, and exploring reactive programming paradigms.

Deyvison B.
Skills
A dedicated developer with approximately a decade of experience in software development, specializing in devising innovative and efficient technological solutions for intricate problems. Possesses substantial expertise in multiple programming languages and has a solid background in both front-end and back-end development, design principles, and agile project management. Consistently pursuing new projects and opportunities for collaboration.

Silvio L.
Skills
Full Stack Developer possessing a dynamic and communicative profile, with strong skills in socialization and proactive engagement. Continuously seeks to acquire new knowledge to stay abreast of technological advancements. Holds a Bachelor's degree in Software Engineering and exhibits a solid understanding and proficiency in diverse technologies.

Iago F.
Skills
Data Engineer specializing in the construction and maintenance of data processing architectures utilizing cloud services. Proficient in developing data ingestion and processing algorithms with Python and PySpark, and skilled in the design and modeling of Data Lakes and Data Warehouses to facilitate data storage and analysis.

Vinícius P.
Skills
Data Engineer with three years of experience specializing in the energy and financial sectors, complemented by one year of consultancy in Tableau. Expertise includes the utilization of Microsoft Azure cloud infrastructure for ETL/ELT processes, leveraging tools such as Python, Spark, SQL Server, Azure Synapse, Azure Data Factory, Databricks, and Pyspark. Proficient in constructing data lake architectures within the Azure Cloud environment and adept at developing and maintaining seamless data pipelines. Demonstrated capability in performance tuning for optimization, managing CI/CD processes using Git Actions, and a thorough understanding of both Agile Scrum and Waterfall methodologies. Skilled in data visualization tools, including Tableau and Power BI. Academic credentials include a Bachelor's degree in Information Systems.

Cris A.
Skills
An experienced designer with a strong background in leading teams and imparting best practices to deliver innovative and functional user experiences. Expertise spans UX strategy, UX research, UI design, UX writing, and front-end development. Utilizing methodologies such as design thinking, double diamond, Scrum, and Lean UX, tasks have been effectively planned and prioritized, resulting in the successful development of MVPs, websites, stores, and applications. Demonstrates a knack for overcoming challenges through critical thinking and creativity, continually pursuing self-development to elucidate, communicate, and present the most viable solutions. This career trajectory has led to substantial improvements in metrics and maturity levels within experience design, contributing to broader organizational success. Currently dedicated to leveraging these insights to create impactful and memorable user experiences.

Kaio R.
Skills
Senior Software Engineer with over six years of experience in web and mobile development, proficient in JavaScript, TypeScript, Node, React, React Native, HTML, and CSS. Demonstrates expertise in executing projects within agile frameworks and thrives in collaborative environments. Holds comprehensive knowledge in engineering principles and application architecture, coupled with proven leadership capabilities. Experienced in managing high-complexity and high-traffic projects, consistently focusing on optimizing performance and scalability for both legacy and new products.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
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