The Exacluster: Powering Our Neural Network Search Engine

Exa has significantly upgraded its computational capabilities by investing in a $5 million GPU cluster, known as the Exacluster, to enhance its AI search engine infrastructure. The Exacluster comprises 144 NVIDIA H200 GPUs, 3,456 CPU cores, and 270 TB NVMe SSD storage, enabling the company to handle extensive machine learning tasks such as embedding billions of web pages and training retrieval models. This infrastructure, named Hephaestus, is managed through a sophisticated stack involving Pulumi for infrastructure as code, Ansible and Kubespray for Kubernetes cluster automation, NVIDIA operators for GPU and network management, Alluxio for a single high-throughput cache, and Flyte for scheduling and orchestrating tasks. This setup allows Exa to efficiently manage and scale its operations, facilitating quick deployment of machine learning models and experiments, thereby cementing its belief in the superiority of neural approaches to web retrieval.

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