Resource Documentation

Each ACCESS resource has unique configurations, queue structures, and capabilities. Browse the documentation below to find the technical detail you need to run jobs, manage data, and plan your workflows.

ACES

ACES is a composable HPC testbed at Texas A&M offering dynamically reconfigurable GPU, FPGA, and AI processor configurations for data-intensive and AI-driven scientific research.

DeltaAI

NCSA's AI/ML-focused computing resource. Built for workloads that need large-memory GPUs and the ability to scale from one GPU to hundreds

Granite

Granite is NCSA's long-term tape archive system providing high-capacity replicated storage for preserving large research datasets.

KyRIC

KyRIC is a large-memory computing resource at the University of Kentucky for data-intensive workloads that run on a single node, such as genome sequencing, processing of large text corpora, and big

Launch

Launch is a general-purpose computing cluster at Texas A&M offering CPU and GPU nodes supporting a range of research applications and scientific tools.

Open Science Grid

The Open Science Grid aggregates distributed computing capacity from campuses and national labs nationwide into a single virtual cluster for high-throughput open science workloads.

Open Storage Network

The Open Storage Network is an NSF-funded, geographically distributed cloud storage resource providing S3-compatible object storage for research datasets, with allocations up to 50TB.

Ranch

Ranch is TACC's long-term archival storage system combining a high-performance filesystem with tape-based backing store for preserving large scientific datasets generated on HPC systems.

Stampede3

Stampede3 is TACC's national supercomputer offering a diverse mix of CPU, GPU, and high-bandwidth memory nodes to support a broad range of open science workloads.

Voyager

Voyager is SDSC's AI-focused computing system purpose-built for science and engineering research, supporting large-scale deep learning and AI-driven experimental and computational workflows.

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