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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

But energy consumption isn’t limited to training models—their usage contributes significantly more. For production models, this provides observability of service-level agreement (SLA) performance metrics, such as token consumption, latency, availability, response time, and error count.

Cache 212
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Why growing AI adoption requires an AI observability strategy

Dynatrace

By adopting a cloud- and edge-based AI approach, teams can benefit from the flexibility, scalability, and pay-per-use model of the cloud while also reducing the latency, bandwidth, and cost of sending AI data to cloud-based operations. Optimizing AI models can help save computational resources, storage space, bandwidth, and energy.

Strategy 230
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Boosted race trees for low energy classification

The Morning Paper

Boosted race trees for low energy classification Tzimpragos et al., We don’t talk about energy as often as we probably should on this blog, but it’s certainly true that our data centres and various IT systems consume an awful lot of it. ASPLOS’19. Introducing race logic. Race logic encodes values by delaying signals.

Energy 52
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What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. Variations within these storage systems are called distributed file systems.

Storage 130
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Implementing AWS well-architected pillars with automated workflows

Dynatrace

This is a set of best practices and guidelines that help you design and operate reliable, secure, efficient, cost-effective, and sustainable systems in the cloud. If you use AWS cloud services to build and run your applications, you may be familiar with the AWS Well-Architected framework.

AWS 256
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Current status, needs, and challenges in Heterogeneous and Composable Memory from the HCM workshop (HPCA’23)

ACM Sigarch

using Compute Express Link or CXL), organizing memory components for optimal performance, adapting system software traditionally designed for homogeneous memory systems, and developing memory abstractions and programming constructs for HCM management. Figure 2: Latency characteristics of memory technologies (source: Maruf et al.,

Latency 52
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As-Salaam-Alaikum: The cloud arrives in the Middle East!

All Things Distributed

This Region will consist of three Availability Zones at launch, and it will provide even lower latency to users across the Middle East. One of the important criteria in launching this AWS Region is the opportunity to power it with renewable energy. This news marks the 22nd AWS Region we have announced globally.

Cloud 152