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Host concurrent LLMs with LoRAX

AWS Machine Learning - AI

Businesses are increasingly seeking domain-adapted and specialized foundation models (FMs) to meet specific needs in areas such as document summarization, industry-specific adaptations, and technical code generation and advisory. Independent software vendors (ISVs) are also building secure, managed, multi-tenant generative AI platforms.

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Grid modernization: A strategic guide for energy sector CIOs

CIO

This transformation is fueled by several factors, including the surging demand for electric vehicles (EVs) and the exponential growth of renewable energy and battery storage. As EVs continue to gain popularity, they place a substantial load on the grid, necessitating infrastructure upgrades and improved demand response solutions.

Energy 183
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

In the first part of the series, we showed how AI administrators can build a generative AI software as a service (SaaS) gateway to provide access to foundation models (FMs) on Amazon Bedrock to different lines of business (LOBs). You can use AWS services such as Application Load Balancer to implement this approach.

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Optimize hosting DeepSeek-R1 distilled models with Hugging Face TGI on Amazon SageMaker AI

AWS Machine Learning - AI

Notable runtime parameters influencing your model deployment include: HF_MODEL_ID : This parameter specifies the identifier of the model to load, which can be a model ID from the Hugging Face Hub (e.g., 11B-Vision-Instruct ) or Simple Storage Service (S3) URI containing the model files. meta-llama/Llama-3.2-11B-Vision-Instruct

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Infrastructure as code, part 02: build Docker images and deploy to Kubernetes

CircleCI

In this series, I’ll demonstrate how to get started with infrastructure as code (IaC). My goal is to help developers build a strong understanding of this concept through tutorials and code examples. application included in this code repo. Let’s breakdown the Dockerfile contained in this project’s code repo.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

As the name suggests, a cloud service provider is essentially a third-party company that offers a cloud-based platform for application, infrastructure or storage services. In a public cloud, all of the hardware, software, networking and storage infrastructure is owned and managed by the cloud service provider. Greater Security.

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AWS Disaster Recovery Strategies – PoC with Terraform

Xebia

Regional failures are different from service disruptions in specific AZs , where a set of data centers physically close between them may suffer unexpected outages due to technical issues, human actions, or natural disasters. This allows us to simplify our code to focus on the DR topic, avoiding the associated configuration efforts for HTTPS.