Our stack at a glance
SuperPOD-Class Compute
To power the next phase of Causal AI research, Alembic is deploying a NVIDIA SuperPOD cluster with Equinix in San Jose, marking our second privately owned supercomputer. Built on the NVIDIA AI Enterprise software suite, this DGX system supports Alembic’s continuous-learning spiking neural networks and spatio-temporal graph construction, enabling real-time causal inference at scale.
With multi-exaflop compute, dual-site redundancy, and a fully optimized CUDA-X and cuGraph stack, Alembic’s researchers can push the boundaries of dynamic causal graph analysis without the latency or resource constraints of shared infrastructure.
The result: near real-time insights for partners like Accenture, delivered by a private AI fleet purpose-built for scientific discovery.
8× GB200 NVL72 racks: Each NVL72 forms a 72-GPU NVLink® domain (36 Grace CPUs + 72 Blackwell GPUs) acting like one massive GPU for breakthrough performance.
Equinix Fabric connectivity: Software-defined, low-latency interconnection links our AI core with customers, partners, and clouds, globally.
WWT collaboration: World Wide Technology assisted design, procurement, and deployment. Their Equinix-hosted AI Proving Ground validated our solutions.
Privacy, residency, and governance by design