In today’s rapidly evolving technological landscape, Artificial Intelligence (AI) and Machine Learning (ML) are transforming industries and reshaping customer experiences. Amazon Web Services (AWS) has played a pivotal role in this transformation, with a long-standing commitment to AI and ML technologies. Now, AWS is poised to lead the charge in the next wave of AI innovation by making Generative AI accessible, practical, and cost-effective for businesses of all sizes.
AWS’s journey into AI and ML began over two decades ago, powering customer-facing services on Amazon.com and optimizing internal operations with AI-powered robots in warehouses. This extensive experience has positioned AWS as a leader in the field, driving innovation at every layer of the ML stack, including infrastructure, ML tools, and purpose-built AI services.
The technology company offers Amazon EC2 Inf2 instances powered by AWS Inferentia2 chips, which provide high performance, energy efficiency, and cost-effectiveness for running demanding generative AI inference workloads at scale. These instances deliver superior throughput and lower latency, resulting in up to 40% better inference price performance compared to other EC2 instances.
A developer tool now made generally available for free is Amazon CodeWhisperer. It supports over 10 programming languages, including Python, Java, JavaScript, TypeScript, and SQL. This tool facilitates the development of generative AI applications without requiring specific expertise in Framework Models.
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