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Artificial Intelligence in Cloud Computing

Scalegrid

Exploring artificial intelligence in cloud computing reveals a game-changing synergy. Infrastructure Excellence ScaleGrid’s infrastructure is designed to facilitate hosting in your cloud account and provides cost-saving options with AWS or Azure Reserved Instances or GCP. </p>

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A 5G future

O'Reilly

For applications like communication between AVs, latency–how long it takes to get a response–is more likely to be a bigger limitation than raw bandwidth, and is subject to limits imposed by physics. There are impressive estimates for latency for 5G, but reality has a tendency to be harsh on such predictions.

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. When an application is triggered, it can cause latency as the application starts. AWS Lambda allows developers to use NodeJS or Python while you can control nearly every detail of a REST API.

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Mastering Hybrid Cloud Strategy

Scalegrid

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130
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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. Data management.

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What Is a Workload in Cloud Computing

Scalegrid

Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. The fundamental principles at play include evenly distributing the workload among servers for better application performance and redirecting client requests to nearby servers to reduce latency.

Cloud 130
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What is observability? Not just logs, metrics and traces

Dynatrace

Observability is also a critical capability of artificial intelligence for IT operations (AIOps). Observability addresses this common issue of “unknown unknowns,” enabling you to continuously and automatically understand new types of problems as they arise.

Metrics 363