Remove Generative AI Remove Hardware Remove Machine Learning
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Supercharge your auto scaling for generative AI inference – Introducing Container Caching in SageMaker Inference

AWS Machine Learning - AI

Today at AWS re:Invent 2024, we are excited to announce the new Container Caching capability in Amazon SageMaker, which significantly reduces the time required to scale generative AI models for inference. In our tests, we’ve seen substantial improvements in scaling times for generative AI model endpoints across various frameworks.

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OctoML raises $85M for it for its machine learning acceleration platform

TechCrunch

OctoML , a Seattle-based startup that helps enterprises optimize and deploy their machine learning models, today announced that it has raised an $85 million Series C round led by Tiger Global Management. “If you make something twice as fast on the same hardware, making use of half the energy, that has an impact at scale.”

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Dulling the impact of AI-fueled cyber threats with AI

CIO

IT leaders are placing faith in AI. Consider 76 percent of IT leaders believe that generative AI (GenAI) will significantly impact their organizations, with 76 percent increasing their budgets to pursue AI. But when it comes to cybersecurity, AI has become a double-edged sword.

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Stability AI backs effort to bring machine learning to biomed

TechCrunch

Stability AI , the venture-backed startup behind the text-to-image AI system Stable Diffusion, is funding a wide-ranging effort to apply AI to the frontiers of biotech. Stability AI’s ethically questionable decisions to date aside, machine learning in medicine is a minefield. Looking ahead.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. Each hardware failure can result in wasted GPU hours and requires valuable engineering time to identify and resolve the issue, making the system prone to downtime that can disrupt progress and delay completion.

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Gartner projects major IT spending increases for 2025

CIO

growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. This spending on AI infrastructure may be confusing to investors, who won’t see a direct line to increased sales because much of the hyperscaler AI investment will focus on internal uses, he says.

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9 IT skills where expertise pays the most

CIO

As one of the most sought-after skills on the market right now, organizations everywhere are eager to embrace AI as a business tool. AI skills broadly include programming languages, database modeling, data analysis and visualization, machine learning (ML), statistics, natural language processing (NLP), generative AI, and AI ethics.