Remove Hardware Remove Storage Remove Systems Review
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11:11 Systems: Empowering enterprises to modernize, protect, and manage their IT assets and data

CIO

Diamond founded 11:11 Systems to meet that need – and 11:11 hasn’t stopped growing since. Our valued customers include everything from global, Fortune 500 brands to startups that all rely on IT to do business and achieve a competitive advantage,” says Dante Orsini, chief strategy officer at 11:11 Systems. “We

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Global tariffs shake up CIOs’ IT agendas

CIO

The research firm is projecting a move closer to the previous downside of 5% growth, which reflects a rapid, negative impact on hardware and IT services spending. Its going to be a tough year for banks to meet our budget and [be] where we want to be as an organization due to the uncertainly around tariffs.

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Navigating the future of national tech independence with sovereign AI

CIO

Sovereign AI refers to a national or regional effort to develop and control artificial intelligence (AI) systems, independent of the large non-EU foreign private tech platforms that currently dominate the field. Ensuring that AI systems are transparent, accountable, and aligned with national laws is a key priority.

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Vanadium ion battery startup Standard Energy raises $8.9M Series C from SoftBank Ventures Asia

TechCrunch

Founded in 2013 by researchers from the Korea Advanced Institute of Science and Technology (KAIST) and the Massachusetts Institute of Technology (MIT), Standard Energy expects one of its main customers to be the energy storage systems (ESS) sector, which the company says is expected to grow from $8 billion to $35 billion in the next five years. “A

Energy 252
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Accelerating generative AI requires the right storage

CIO

In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. All this data means that organizations adopting generative AI face a potential, last-mile bottleneck, and that is storage. Novel approaches to storage are needed because generative AI’s requirements are vastly different.

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Host concurrent LLMs with LoRAX

AWS Machine Learning - AI

Traditional model serving approaches can become unwieldy and resource-intensive, leading to increased infrastructure costs, operational overhead, and potential performance bottlenecks, due to the size and hardware requirements to maintain a high-performing FM. The following diagram is the solution architecture.

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The Reason Many AI and Analytics Projects Fail—and How to Make Sure Yours Doesn’t

CIO

Some are relying on outmoded legacy hardware systems. Most have been so drawn to the excitement of AI software tools that they missed out on selecting the right hardware. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.

Analytics 205