Accelerating LLMs in Production with Intel® Tiber™ AI Studio & Redis
Accelerating LLMs in Production with Intel® Tiber™ AI Studio & Redis
Tyler Hutcherson Applied AI Engineer, Redis
Vasilis Vagias AI Architect, Intel® Tiber™ AI Studio
Generative AI and large language models (LLMs) are taking the world by storm, yet harnessing their potential in production remains challenging. Explore how to leverage the power of Intel® Tiber™ AI Studio’s machine learning platform and Redis’ high-performance data store to deploy and manage large LLMs more efficiently. Learn how both technologies empower businesses to overcome common challenges associated with LLMs, such as cost, latency, quality, and security. By harnessing the capabilities of these technologies, organizations can streamline their AI pipelines, optimize resource usage, and accelerate time-to-market.
In this webinar, our experts will demonstrate how Intel® Tiber™ AI Studio’s robust ML platform simplifies the management and orchestration of LLM training and deployment, ensuring scalability and flexibility in production environments. Additionally, we’ll discuss how Redis’ in-memory data store can significantly reduce latency and improve the performance of LLMs by enabling rapid context retrieval, caching, and long-term memory. Don’t miss this opportunity to learn how to unlock the full potential of LLMs in your production workflows with Intel® Tiber™ AI Studio and Redis.