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3 weeks ago | 
aws.amazon.com | Adam Richter |Ádám Richter |Bowen Wang
This post was made better through reviews from Andrew Shamiya and Zhibin Cao. As we continue our five-part series on optimizing costs for generative AI workloads on AWS, our third blog shifts focus to Amazon Bedrock. In our previous posts, we explored general Cloud Financial Management principles on generative AI adoption and strategies for custom model development using Amazon EC2 and Amazon SageMaker AI. Today, we’ll guide you through cost optimization techniques for Amazon Bedrock.
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1 month ago | 
aws.amazon.com | Adam Richter |Ádám Richter |Bowen Wang
This post was made better through reviews from Shane Robbins, Shruti Koparkar, and Natalia Cummings Welcome to the second blog of the series on optimizing costs for generative AI workloads on AWS. In our first blog, we provided an overview of different implementation approaches and Cloud Financial Management principles for generative AI adoption.
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1 month ago | 
aws.amazon.com | Bowen Wang |Adam Richter |Ádám Richter
This post was made better through reviews from Shane Robbins, Ross Richards, and Spencer Hedrick. If you or your organizations are in the midst of exploring generative AI technologies, it’s important for you to be aware of the investment that comes with these advanced applications.
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Nov 13, 2024 | 
aws.amazon.com | Bowen Wang
We’re excited to announce the release of AWS Cloud Financial Management digital training courses. These are four one-hour courses will familiarize you with key AWS solutions that address your daily FinOps needs, and equip you with cost optimization techniques for commonly used AWS services. Cloud Financial Management (CFM) is essential for sustainable cloud adoption.
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Oct 25, 2024 | 
aws.amazon.com | Bowen Wang
If you’re managing your organization’s AWS spend and planning to dedicate time at 2024 re:Invent to learn about solutions that can help you better manage and optimize your AWS cost and usage, take a brief pause and read on this blog post. You will find the lineup of different sessions and workshops that are focused on popular Cloud Financial Management topics, e.g., cost allocation, planning, cost control.
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Jun 21, 2024 | 
aws.amazon.com | Bowen Wang
Excitement filled the air, as James Greenfield, VP of AWS Commerce Platform, took the stage at 2024 FinOps X in San Diego. This is our first time attending the conference as a member of the FinOps Foundation. James, John Phillips, General Manager of AWS Cloud Financial Management engineering and product management, together with several product leaders and experts, were present at the conference to help customers mature FinOps practices and learn from the brightest minds in the industry.
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Jun 21, 2024 | 
aws.amazon.com | Bowen Wang
Starting today, you can create exports of your AWS cost and usage data with the FinOps Open Cost and Usage Specification (FOCUS) 1.0 schema as a preview feature. For those of you who aren’t yet familiar with the FOCUS standard, FOCUS is a new open-source cloud billing data specification that provides consistency and standardization to simplify cloud cost reporting and analysis across multiple sources.
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Jun 21, 2024 | 
aws.amazon.com | Bowen Wang
We’re excited to announce that starting today AWS Billing and Cost Management provides Data Exports for Cost Optimization Hub. With Data Exports for Cost Optimization Hub, you can deliver consolidated cost optimization recommendations in CSV or parquet format to Amazon S3 on a recurring basis. You can define what data you want to include in the export using basic SQL query or column/row filters in the console.
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Jun 21, 2024 | 
aws.amazon.com | Bowen Wang
Starting today, AWS Compute Optimizer delivers new recommendations for Amazon Relational Database Service (RDS) MySQL and PostgreSQL databases. These recommendations help you detect idle RDS instances and identify the optimal instance types and provisioned IOPS settings for your existing RDS DB instances, so you can reduce costs for idle and over-provisioned RDS DB instances or increase the performance of under-provisioned workloads.
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Apr 20, 2024 | 00392-5/abstract?rss=yes&sz=64)
ejso.com | Bowen Wang |Xingyue Ma |Xiao Zhang |Xiaoyan Zhang
To address the limitations of conventional sentinel lymph node biopsy (SLNB), a novel hybrid tracer (indocyanine green [ICG]-99mTc-nanocolloid) has been developed. This meta-analysis aimed to compare the differences between the novel hybrid tracer and conventional methods using ICG or radioisotope (RI) for SLNB in head and neck malignancies. This study was registered in the International Prospective Register of Systematic Reviews (CRD42023409127).
