High-Performance Storage for AI and ML

High-Performance Storage for AI and ML

Now the hard part: getting there. Your applications need more data, but storage performance has lagged beyond what traditional CPUs can deliver. While GPUs have shrunk compute infrastructure by 40%, the data they process has grown by 50%—but this comes at a high cost: organizations are investing substantial dollars to modify GPUs and get the high-density platform they need. To extract the maximum return from that investment, you need the right infrastructure: a more efficient, higher performing storage platform incorporated into your workflow.

Hitachi Content Software for File. It’s the high-performance storage solution you need to stay competitive. It expands the limits of what storage can do for AI, machine learning, analytics, and other GPU accelerated workloads.

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Capitalising on CMBS

Maximising value from better risk management and deal efficiency

This Risk.net survey and white paper, commissioned by SS&C Intralinks, assesses the outlook for the CMBS market in the US and Europe, charts the changing risk management priorities of issuers and investors, and reveals the key opportunities to drive efficiency and maximise value in the deal process.

Capitalising on CMBS
Cryptocurrency Regulation Summary: 2022 edition

The market capitalization of crypto assets has grown significantly amid large bouts of price volatility. Moreover, the market capitalization of stablecoins has quadrupled in 2021 to more than US$120 billion.

Cryptocurrency Regulation Summary: 2022 edition
Data to anchor a new age of risk management

Today, modern enterprises must tackle unstructured data, semi-structured data and data with high variety, velocity and volume. But current data systems for compliance cannot perform the requisite advanced analytics that require scale.

Data to anchor a new age of risk management

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