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#ec2

11 posts10 participants0 posts today
Maksim Aniskov

New EC2 r8i and r8i-flex instances
aws.amazon.com/blogs/aws/best-
R8i and R8i-flex instances powered by custom Intel Xeon 6 processors, available only on AWS. These instances deliver up to 15 percent better price performance, 20 percent higher performance, and 2.5 times more memory throughput compared to previous generation instances.
#AWS #EC2

Amazon Web Services · Best performance and fastest memory with the new Amazon EC2 R8i and R8i-flex instances | Amazon Web ServicesR8i and R8i-flex instances powered by Intel Xeon processors offer up to 15% better price performance, 20% higher performance, and 2.5 times more memory throughput compared to previous generations.
Kubernetes
AWS Weekly Roundup: Single GPU P5 instances, Advanced Go Driver, Amazon SageMaker HyperPod and more (August 18, 2025) Let me start this week’s update with something I’m especially excited about...

#Amazon #Aurora #Amazon #Bedrock #Amazon #EC2 #Amazon #Elastic #Kubernetes #Service #Amazon

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Amazon Web Services · AWS Weekly Roundup: Single GPU P5 instances, Advanced Go Driver, Amazon SageMaker HyperPod and more (August 18, 2025) | Amazon Web ServicesLet me start this week’s update with something I’m especially excited about – the upcoming BeSA (Become a Solutions Architect) cohort. BeSA is a free mentoring program that I host along with a few other AWS employees on a volunteer basis to help people excel in their cloud careers. Last week, the instructors’ lineup was […]
LLMs
How Amazon scaled Rufus by building multi-node inference using AWS Trainium chips and vLLM In this post, Amazon shares how they developed a multi-node inference solution for Rufus, their generative...

#Amazon #EC2 #Amazon #Elastic #Container #Service #Architecture #AWS #Trainium #Customer #Solutions

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Amazon Web Services · How Amazon scaled Rufus by building multi-node inference using AWS Trainium chips and vLLM | Amazon Web ServicesIn this post, Amazon shares how they developed a multi-node inference solution for Rufus, their generative AI shopping assistant, using Amazon Trainium chips and vLLM to serve large language models at scale. The solution combines a leader/follower orchestration model, hybrid parallelism strategies, and a multi-node inference unit abstraction layer built on Amazon ECS to deploy models across multiple nodes while maintaining high performance and reliability.
Seth Grover

Building a network traffic analysis system: Deploying Malcolm on Amazon EC2

This is the first of two blog posts on the AWS Public Sector Blog about deploying Malcolm on Amazon AWS. It covers installing Malcolm on a single EC2 instance. The next post will cover deploying Malcolm on EKS.

For those of you more interested in scaling Malcolm using Kubernetes, you can check out our "still-in-beta" Helm chart and share your feedback in the issue tracker on that repo.

Amazon Web Services · Building a network traffic analysis system: Deploying Malcolm on Amazon EC2 | Amazon Web ServicesIn this post, we provide step-by-step guidance for deploying Malcolm—an open source network traffic analysis suite—natively on Amazon Elastic Compute Cloud (Amazon EC2), using the on-demand compute, elasticity, and scalability of AWS to eliminate traditional infrastructure overhead. This approach is particularly beneficial for cost-conscious public sector (federal, state, and local), utility, and industrial customers who require network and security monitoring to deliver on their missions.
#AWS#EC2#Malcolm
FunctionalProgramming
Amazon EC2 defenses against L1TF Reloaded The guest data of AWS customers running on the AWS Nitro System and Nitro Hypervisor is not at risk from a new attack dubbed “L1TF Reloaded.” No additi...

#Advanced #(300) #Amazon #EC2 #Security, #Identity, #& #Compliance #Thought #Leadership

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Amazon Web Services · Amazon EC2 defenses against L1TF Reloaded | Amazon Web ServicesThe guest data of AWS customers running on the AWS Nitro System and Nitro Hypervisor is not at risk from a new attack dubbed “L1TF Reloaded.” No additional action is required by AWS customers; however, AWS continues to recommend that customers isolate their workloads using instance, enclave, or function boundaries as described in AWS public […]
#security#identity
MongoDB
AWS Weekly Roundup: Amazon DocumentDB, AWS Lambda, Amazon EC2, and more (August 4, 2025) This week brings an array of innovations spanning from generative AI capabilities to enhancements of foundat...

#Amazon #Connect #Amazon #DocumentDB #Amazon #EC2 #Amazon #Simple #Notification #Service #(SNS)

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Amazon Web Services · AWS Weekly Roundup: Amazon DocumentDB, AWS Lambda, Amazon EC2, and more (August 4, 2025) | Amazon Web ServicesThis week brings an array of innovations spanning from generative AI capabilities to enhancements of foundational services. Whether you’re building AI-powered applications, managing databases, or optimizing your cloud infrastructure, these updates help build more advanced, robust, and flexible applications. Last week’s launches Here are the launches that got my attention this week: Amazon DocumentDB – […]
#sns
Maksim Aniskov

EC2 g6f instances with fractional GPUs
aws.amazon.com/about-aws/whats
g6f instances provisioned with GPU partitioning powered by NVIDIA L4 Tensor Core GPUs. G6f instances can be used for a wide range of graphics workloads. G6f instances offer GPU partitions as small as one-eighth of a GPU with 3 GB of GPU memory giving customers the flexibility to right size their instances and drive significant cost savings compared to EC2 G6 instances with a single GPU.
#AWS #EC2

Amazon Web Services, Inc.Announcing general availability of Amazon EC2 G6f instances with fractional GPUs - AWSDiscover more about what's new at AWS with Announcing general availability of Amazon EC2 G6f instances with fractional GPUs
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