OpenLake
High performance storage engine for AI workloads
OpenLake is a high-performance storage system powered by io_uring and GPUDirect Storage, designed specifically to deliver low latency and high throughput for AI workloads like LLM inference and GPU training. The platform addresses the critical bottleneck of data movement in large-scale AI infrastructure, where slow storage can leave expensive GPUs idle during model checkpointing and recovery.
It is built for AI engineers, infrastructure teams, and organizations operating multi-GPU clusters who need to maximize accelerator utilization. By leveraging its Infinity Core I/O Engine and an S3 API interface, OpenLake provides the robust storage foundation required to scale beyond traditional limits and speed up job runtimes.
Use Cases
- AI engineers saving model state during large-scale LLM training
- Infrastructure teams restoring model state after a cluster failure
- Organizations running GPU training clusters to reduce idle accelerator time
- Engineers executing Llama 3 family checkpointing workloads
