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6 key considerations for selecting an AI systems vendor

CIO Business Intelligence

IT leaders attending NVIDIA’s GTC 2024 AI developer conference on March 18-21, 2024, in San Jose, CA, can explore these capabilities with ASUS, one of the global leaders in high-performance AI servers based on NVIDIA’s MGX server reference architecture. Asses the processors to ensure they meet the compute demands of your AI algorithms.

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Spearline and Amazon Web Services Partnership

Spearline Testing

Amazon Web Services. Amazon Web Services (AWS) is a secure cloud services platform which offers compute power, database storage, content delivery and other functionality to help businesses scale and grow as required. This greatly benefits our customers and would not be possible without a service like AWS.”

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Weekend Reading: Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases.

All Things Distributed

Soon after the launch of Amazon Relation Dabase Service (RDS) AWS customers were giving us feedback that they would love to migrate to RDS but what they would love even more was if we could also unshackle them from the high-cost, punitive licensing schemes that came with the proprietary databases.

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AWS launches no-code service AppFabric with generative AI assistance

CIO Business Intelligence

Amazon Web Services (AWS) on Tuesday unveiled a new no-code offering, dubbed AppFabric, designed to simplify SaaS integration for enterprises by increasing application observability and reducing operational costs associated with building point-to-point solutions. Amazon Web Services, Generative AI, No Code and Low Code

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Lowering TCO | Maximizing Business Value with AWS

Linux Academy

In this blog series, I’ve covered how organizations that adopt Amazon Web Services empower themselves to drive measurable business success through cost savings , cost avoidance, and operational resilience , with dramatic reductions in downtime, improved resource efficiency at the task level, and greatly enhanced business agility.

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The multi-cloud era – a faster path forward for enterprises and Managed Services Providers

CIO Business Intelligence

CIOs are taking deliberate action by proactively matching workloads and applications with the ideal cloud, and companies are also seeing a proliferation of multi-cloud architectures created by mergers and acquisitions, data sovereignty needs, support for remote work, and shadow IT. The era of the multi-cloud landscape is here.

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. While data engineers develop, test, and maintain data pipelines and data architectures, data scientists tease out insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals.