Third-generation, rack-level AI inference platform integrating our next-gen near-memory computing with increased bandwidth scale-up and scale-out, designed for disaggregated inference deployments
Qualcomm Dragonfly™ AI300 expands the Qualcomm Dragonfly AI inference offering by integrating Qualcomm® Hign Bandwidth Compute (HBC) Gen 2, enabling full all-to-all rack level scale-up, and high bandwidth scale-out to support full disaggregated inferencing deployments. The solution will expand from a rack to a pod offering supporting the entire inference pipeline and enables fast deployment.
Built for hyperscale AI, it is designed for industry-leading1 memory capacity and effective bandwidth enabling high-throughput, low-latency performance for large language & multimodal model(LMM, LMM) inference and agentic AI workloads.
Features
- AI300 accelerator cards with fully integrated compute, memory and networking on a single direct liquid cooled (DLC) rack
- Integrated Qualcomm HBC Gen 2 is engineered for industry-leading effective memory bandwidth 1
- All-to-all rack scale-up with a single hop to enable high bi-directional bandwidth per AI300 accelerator
- Qualcomm Dragonfly™ C1000 CPU delivers high per core performance for accelerating agentic AI use-cases
- Expanded scale-out per AI300 card to enable low latency full prefill-decode disaggregation at scale
- Fully validated pod configurations to enable complete end-end inference solution for customers
- Air and direct liquid cooling
