NEW YORK CITY – December 17, 2025 – VAST Knowledge right this moment introduced that SciNet on the College of Toronto, and SHARCNET on the College of Waterloo have adopted VAST as their knowledge and AI working system, constructing on beforehand introduced deployments with Canadian-based infrastructure suppliers which can be utilizing VAST to energy large-scale GPU companies, in response to VAST.
Collectively, these organizations symbolize a cross-section of Canada’s AI ecosystem – from nationwide tutorial compute websites and world-renowned AI analysis institutes to cloud infrastructure suppliers – converging on a typical requirement: a scalable, resilient knowledge and AI working system that may preserve tempo with GPU-era workloads whereas remaining easy sufficient to function with lean groups.
SciNet, one among Canada’s 5 nationwide tutorial HPC websites and residential to the Trillium supercomputer, is operating its third-generation system with roughly 240,000 CPU cores and 250 GPUs. Reasonably than repeat a legacy mannequin, SciNet has consolidated on the VAST AI OS infrastructure, designed to serve conventional HPC codes and rising AI workloads facet by facet.
“We run a unprecedented mixture of workloads by researchers throughout Canada, and our new system pushes nicely past the size of our earlier era,” stated Daniel Gruner, CTO, SciNet. “With VAST, we now not need to juggle completely different storage tiers or bolt on burst buffers simply to maintain up with demanding I/O. We will assist each conventional HPC and new AI workloads on VAST’s AI OS that our customers hammer every single day – and it merely retains up.”
SHARCNET, one other of Canada’s nationwide host websites and the group behind the brand new Nibi cluster on the College of Waterloo, has equally chosen the VAST AI OS as the info basis for its refreshed infrastructure. Nibi combines greater than 135,000 CPU cores with 288 GPUs and superior immersion cooling, and serves a “lengthy tail” of analysis disciplines – from bioinformatics and physics to economics and the humanities.
“We assist hundreds of researchers with wildly completely different I/O patterns, from billion-file bioinformatics datasets to college students studying HPC for the primary time,” stated John Morton, Director of Expertise, SHARCNET. “With our earlier system, a single misbehaving job may influence all the cluster. One of the best factor we are able to say about VAST is that it has largely disappeared into the background – it has quietly absorbed billions of recordsdata and a few extraordinarily demanding workloads with out ever turning into an issue we now have to debug.”
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Unify HPC and AI on One Platform: VAST AI OS permits organizations to run tightly coupled simulations, knowledge analytics, AI coaching and inference on a single, unified platform – as an alternative of managing a number of tiers, burst buffers, and database and compute companies from disparate infrastructure.
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Hold GPUs Absolutely Utilized: VAST’s Disaggregated Shared-All the things (DASE) structure delivers constant efficiency for small-file, high-IOPS and metadata-heavy workloads in order that CPU and GPU assets stay compute-bound, not I/O-bound.
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Simplify Operations for Lean Groups: VAST gives groups with a contemporary administration expertise, built-in snapshots and catalog companies, and automatic resilience options that scale back the necessity for handbook tuning and firefighting.
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Allow Safe, Multi-Tenant Environments: The VAST DataSpace delivers a world namespace with multi-tenancy and knowledge companies to assist safe, compliant environments for delicate knowledge and multi-organization analysis collaborations.
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Put together for Multi-Web site and Multi-Cloud Futures: VAST allows organizations to construct towards a typical knowledge basis that may span nationwide analysis websites, Canadian infrastructure suppliers and public cloud environments, enabling replication, shared datasets and constant governance.
“Canada has made daring, strategic investments in AI – from nationwide analysis facilities to cloud infrastructure designed for large-scale GPU computing,” stated Pezhman Sharifi, Director at VAST Knowledge Canada Inc. “What unites SciNet, SHARCNET and different Canadian infrastructure companions is a shared want for an working system that retains GPUs and researchers fed with knowledge with out including operational complexity. The VAST AI OS delivers a single, world platform for Canada’s innovation financial system – from tutorial labs to manufacturing AI companies.”
