How to Accelerate Gen AI and LLM Deployment
Don’t let infrastructure challenges stand in the way of AI success
Is your organization looking to exploit the power of LLMs and generative AI to streamline operations and gain competitive differentiation? If you have experience in architecting AI computing and storage to drive value for your business, you're likely aware that your current hardware might not be optimized for the task. While GPU-based computing can offer high performance, it often comes with the drawbacks of being costly, having extended implementation lead times, and demanding expertise beyond your team's current institutional knowledge.
The window of opportunity isn’t going to be open forever, so what can you do?
Join us for a discussion and learn how Lambda Labs and DDN can help you identify a solution tailored to your immediate needs. With cloud-based and on-premises options that are 40% faster than other GPU-accelerated cloud platforms, they will cut through indecision and deliver results for you in days rather than months. Join David Hall of Lambda and James Coomer of DDN on our Regcast to discover how they achieve this and see if it’s a fit for your organization.
The Reg’s Tim Phillips will explore:
- The challenges often associated with deploying generative AI and large language models
- Advantages of Lambda Labs’ architecture
- How you can deliver immediate, impactful results