To scale custom #generativeAI models quickly, cost-effective private cloud and low-latency on-premises systems are crucial for running massive models with billions of parameters. Article via @TechTarget
COMPUTING
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How C Language Shaped Modern Programming History
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“If it wasn’t for C, we’d be writing programs in BASI, PASAL, and OBOL.” — Unknown
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Pure Storage: Unlocking the Power of Your Unstructured Data
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Storage matters! See how @PureStorage can help put your unstructured data to work for you: https://
hubs.la/Q01NVwxT0 ————
#PureStorage #StorageMatters #BigData #CDO #AI #ML #MachineLearning #DataScience -

CTO Discusses Latest AI Technology at Aarhus University Colloquium
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Our CTO, @EvanEleftheriou
, will be speaking at Aarhus University, Denmark during the Emerging Chip Technologies Colloquium on May 9th, 23. He'll be discussing the latest AI technology with Axelera AI's Metis AIPU. Join the global experts at this @ieeecassociety #tech #ai -
Groq warns against vendor lock-in with Nvidia architecture
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If you’re a technology executive, reach out to contact@Groq.com to ensure that you maintain your strategic flexibility and don't slowly lock your company’s codebase into Nvidia’s architecture without even knowing it.
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Groq Demonstrates LLaMA Running on Systems in Days
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In Bill Xing's GroqDay demo, he explains how a small team at Groq got LLaMA (Meta AI's answer to ChatGPT) to run on @GroqInc systems within a couple of days of its release. https://
youtu.be/rXGbSMYXyG0 -
Chinese firms reduce AI model training computational intensity
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3/ Finally, in line with global research trends, Chinese firms are experimenting with techniques that would reduce the computational intensity of training large-scale AI models. They're effectively trying to squeeze more runway out of less chips or less powerful chips.
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Chinese Firms Develop Heterogenous Computing for AI Model Training
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2/ Chinese firms are also trying to advance so-called heterogenous computing, training large-scale AI models across different types of chips, to avoid a reliance on any one type of hardware. This is rarely seen among US firms because of the technical challenges to get it to work.
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Chinese Firms Bypass AI Chip Sanctions Using Multiple Downgraded Processors
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We discovered three strategies: 1/ Chinese firms can no longer buy Nvidia A100s & H100s, the best AI chips, but they can buy downgraded A800s & H800s, which Nvidia designed to meet sanction requirements. The firms are now trying to use 3 or 4 x A/H800s to simulate 1 x A/H100.
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Transparent Aluminum: Impressive Advanced Material Technology
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Sometimes called transparent aluminum. Very impressive stuff.