Remove Generative AI Remove Hardware Remove Training
article thumbnail

Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Training a frontier model is highly compute-intensive, requiring a distributed system of hundreds, or thousands, of accelerated instances running for several weeks or months to complete a single job. For example, pre-training the Llama 3 70B model with 15 trillion training tokens took 6.5 During the training of Llama 3.1

Training 112
article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

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.

article thumbnail

Getting infrastructure right for generative AI

CIO

For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. Infrastructure-intensive or not, generative AI is on the march. of the overall AI server market in 2022 to 36% in 2027.

article thumbnail

Together raises $20M to build open source generative AI models

TechCrunch

Generative AIAI that can write essays, create artwork and music, and more — continues to attract outsize investor attention. According to one source, generative AI startups raised $1.7 billion in Q1 2023, with an additional $10.68 billion worth of deals announced in the quarter but not yet completed.

article thumbnail

The mainframe’s future in the age of AI

CIO

If there’s any doubt that mainframes will have a place in the AI future, many organizations running the hardware are already planning for it. Many Kyndryl customers seem to be thinking about how to merge the mission-critical data on their mainframes with AI tools, she says. I believe you’re going to see both.”

Survey 200
article thumbnail

Efficiently train models with large sequence lengths using Amazon SageMaker model parallel

AWS Machine Learning - AI

Across diverse industries—including healthcare, finance, and marketing—organizations are now engaged in pre-training and fine-tuning these increasingly larger LLMs, which often boast billions of parameters and larger input sequence length. This approach reduces memory pressure and enables efficient training of large models.

Training 110