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    Pre-Training LLM Optimization Consultation

     Info
    For customers interested in optimizing their workloads on AWS, we clarify how Mindbeam's solutions accelerate the pre-training, fine-tuning, and inference of large language models (LLMs) by leveraging proprietary algorithms to optimize GPU usage.

    Overview

    Mindbeam specializes in optimizing GPU usage for pre-training large language models (LLMs). By leveraging proprietary algorithms, Mindbeam enables businesses to reduce training times from months to days, significantly improving efficiency and scalability. The solution integrates seamlessly with AWS services such as SageMaker and EKS, ensuring compatibility with GPU-enabled instances like NVIDIA A100, H100, and H200s.

    Highlights

    • Accelerate LLM training workflows, reducing time-to-results
    • Optimize pre-training time to cut operational costs significantly
    • Seamless integration with AWS services like SageMaker and EKS

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Support

    Vendor support

    To schedule a consultation or for technical support, contact support@mindbeam.ai . Buyers can expect dedicated assistance for both short-term troubleshooting and long-term optimization of generative AI infrastructure needs.