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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

Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach. As a result, building such a solution is often a significant undertaking for IT teams.

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Host concurrent LLMs with LoRAX

AWS Machine Learning - AI

However, using generative AI models in enterprise environments presents unique challenges. For those seeking methods to build applications with strong community support and custom integrations, LoRAX presents an alternative. After setting the desired storage space, select the Advanced details dropdown menu.

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Network topologies – A series: Part 1

Xebia

The examples will be presented as Google Cloud Platform (GCP) resources, but can in most cases be inferred to other public cloud vendors. This setup will adopt the usage of cloud load balancing, auto scaling and managed SSL certificates. You should look up the appropriate documentation for this, before starting.

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Test drive the Citus 11.0 beta for Postgres

The Citus Data

The easiest way to use Citus is to connect to the coordinator node and use it for both schema changes and distributed queries, but for very demanding applications, you now have the option to load balance distributed queries across the worker nodes in (parts of) your application by using a different connection string and factoring a few limitations.

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9 Best Free Node.js Hosting 2023

The Crazy Programmer

At present, Node.js Get 1 GB of free storage. Features: 1GB runtime memory 10,000 API requests 1GB Object Storage 512MB storage 3 Cron tasks Try Cyclic Google Cloud Now developers can experience low latency networks & host your apps for your Google products with Google Cloud. You can host various other Node.js

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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