Dynatrace

JANUARY 31, 2024

Augmenting LLM input in this way reduces apparent knowledge gaps in the training data and limits AI hallucinations. The LLM then synthesizes the retrieved data with the augmented prompt and its internal training data to create a response that can be sent back to the user. million AI server units annually by 2027, consuming 75.4+

Cache 201

Cache Azure Infrastructure Monitoring 201

Dynatrace

NOVEMBER 2, 2023

FinOps is a cloud financial management philosophy and practice that strives to control the cost of cloud adoption strategies without restricting the scope of cloud resources. Create optimization strategies with realistic goals for each team. The result is smarter, data-driven solutions designed to manage cloud spend. What is FinOps?

Cloud 192

Cloud Strategy Retail Energy 192

Dynatrace

SEPTEMBER 30, 2021

Cloud services platforms like AWS, Azure, and GCP are reshaping how organizations deliver value to their customers, making cloud migration an increasingly attractive option for running applications. Generally speaking, cloud migration involves moving from on-premises infrastructure to cloud-based services.

Cloud 163

Cloud Traffic Best Practices Strategy 163

Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. AWS speakers: Wafae Bakkali, Isha Dua

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Digital transformation creates complexity.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Training models and developing complex applications on top of those models is becoming easier. of nonusers, 5.4%

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible!

Cloud 130

Cloud Virtualization Storage Efficiency 130