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In-House Model Serving Infrastructure for GPU Flexibility

DZone

As deep learning models evolve, their growing complexity demands high-performance GPUs to ensure efficient inference serving. Many organizations rely on cloud services like AWS, Azure, or GCP for these GPU-powered workloads, but a growing number of businesses are opting to build their own in-house model serving infrastructure.

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What is cloud migration?

Dynatrace

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. This can fundamentally transform how they work, make processes more efficient, and improve the overall customer experience. Reduced cost.

Cloud 185
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Modernize cloud operations to transform the way you work

Dynatrace

. “The team did a two-part attack on that, where we rapidly added more physical infrastructure, but also expanded the Citrix environment into all five CSP regions that we had available to us in the government clouds from Azure and AWS,” Catanoso explains. Operations teams can run more efficiently.

Cloud 200
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Announcing the General Availability of Percona Operator for PostgreSQL Version 2

Percona

In addition to that: Run up to four pgBackrest repositories Bootstrap the cluster from the existing backup through Custom Resource Azure Blob Storage support Operations Deploying complex topologies in Kubernetes is not possible without affinity and anti-affinity rules. In version 1.x, We look forward to seeing what you can do with it!

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What is serverless computing? Driving efficiency without sacrificing observability

Dynatrace

VMware commercialized the idea of virtual machines, and cloud providers embraced the same concept with services like Amazon EC2, Google Compute, and Azure virtual machines. In a serverless architecture, applications are distributed to meet demand and scale requirements efficiently. To answer the question ‘what is serverless?’

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What is Serverless Architecture?

cdemi

Let's talk about the elephant in the room; Serverless doesn't really mean that there are no Software or Hardware servers. Cost - Serverless Computing is more cost-efficient than having a fixed quantity of servers. Whether you choose Azure Functions or AWS Lambda, you cannot easily switch to another. Advantages. Disadvantages.

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Building an elastic query engine on disaggregated storage

The Morning Paper

This paper presents Snowflake design and implementation along with a discussion on how recent changes in cloud infrastructure (emerging hardware, fine-grained billing, etc.) Customer data is persisted in S3 (or the equivalent services when running on Azure or GCP), and compute is handled in EC2 instances. The scorecard.

Storage 112