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Accelerating generative AI requires the right storage

CIO

Generative AI “fuel” and the right “fuel tank” Enterprises are in their own race, hastening to embrace generative AI ( another CIO.com article talks more about this). In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. What does this have to do with technology?

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EnCharge AI emerges from stealth with $21.7M to develop AI accelerator hardware

TechCrunch

EnCharge AI , a company building hardware to accelerate AI processing at the edge , today emerged from stealth with $21.7 Speaking to TechCrunch via email, co-founder and CEO Naveen Verma said that the proceeds will be put toward hardware and software development as well as supporting new customer engagements.

Hardware 216
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Inferencing holds the clues to AI puzzles

CIO

As with many data-hungry workloads, the instinct is to offload LLM applications into a public cloud, whose strengths include speedy time-to-market and scalability. Inferencing funneled through RAG must be efficient, scalable, and optimized to make GenAI applications useful. Learn more about Dell Generative AI. Artificial Intelligence

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The impact of AI on edge computing

CIO

Enterprises are moving computing resources closer to where data is created, making edge locations ideal for not only collecting and aggregating local data but also for consuming it as input for generative processes. Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage.

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ASUS unveils powerful, cost-effective AI servers based on modular design

CIO

That means hardware designed from the ground up for maximum performance, data center integration, AI development support, optimal cooling, and easy vertical and horizontal scaling. That architecture lets ASUS servers exploit the latest NVIDIA advances in GPUs, CPUs, NVME storage, and PCIe Gen5 interfaces.

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Addressing cloud waste: 4 steps to cloud computing cost optimization

CIO

The Azul State of Java Survey and Report 2023 , an independently run study of more than 2,000 Java users, found that 90% of companies with applications built in Java, the most prominent programming language used to build enterprise applications, are deploying in a public, private, or hybrid cloud environment. Cloud Computing, Cloud Storage

Cloud 305
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What Should You Know About Graph Database’s Scalability?

Dzone - DevOps

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.