How AWS and Intel make LLMs more accessible and cost-effective with DeepSeek

AWS and Intel are collaborating to make Large Language Models (LLMs) more accessible and cost-effective through innovative solutions focused on distilled language models and efficient computing.

• DeepSeek's distilled models offer high performance with fewer computational resources
• Intel® Xeon® processors with Advanced Matrix Extensions (AMX) accelerate LLM workloads
• Amazon EC2 provides flexible deployment options for LLMs on Intel processors
• Companies can deploy custom and open-source LLMs using Amazon Bedrock, SageMaker, or EC2
• The collaboration aims to reduce total cost of ownership (TCO) for generative AI applications

The partnership leverages Intel's semiconductor technology and AWS's cloud infrastructure to deliver more accessible and cost-effective AI solutions for enterprises.