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.
Anvil
Anvil is a large-scale computing resource operated by Purdue University, offering a balanced mix of CPU, GPU, and AI-optimized nodes to support a wide range of research workloads.
- Anvil AI Anvil AI provides access to NVIDIA H100 GPUs for advanced AI workloads. It is designed for deep learning, large model training, and other compute-intensive AI applications.
- Anvil CPU Anvil CPU resources provide general-purpose computing nodes for a wide range of research workloads. They are suitable for data processing, simulations, and other tasks that do not require GPUs.
- Anvil GPU Anvil GPU resources provide accelerated computing with NVIDIA GPUs, making them well-suited for machine learning, AI training, and large-scale data processing.
Bridges2
Bridges-2 is a converged HPC, AI, and data platform at Pittsburgh Supercomputing Center, offering CPU, GPU, large-memory, and storage resources to support diverse scientific workloads.
- Bridges-2 EM Bridges-2 Extreme Memory is a specialized computing resource at the Pittsburgh Supercomputing Center designed for applications that require very large amounts of shared memory. It provides nodes with ...
- Bridges-2 GPU Bridges-2 GPU is a high-performance computing resource at the Pittsburgh Supercomputing Center designed for GPU-accelerated workloads. It provides nodes equipped with NVIDIA GPUs for machine learning,...
- Bridges-2 RM Bridges-2 Regular Memory is a general-purpose computing resource at the Pittsburgh Supercomputing Center designed for CPU-based workloads. It provides high-core-count nodes optimized for parallel comp...
CloudBank
CloudBank provides researchers and educators flexible access to commercial cloud platforms — including AWS, Google Cloud, Azure, and IBM Cloud — for both research computing and classroom use.
- CloudBank Research CloudBank Research provides research allocations on commercial cloud platforms, currently Amazon Web Services, Google Cloud, IBM Cloud, and Microsoft Azure. CloudBank provisions the cloud accounts and...
- CloudBank Classroom CloudBank Classroom is a cloud-hosted JupyterHub for teaching. Students work in the browser with persistent storage and pre-installed tools, including JupyterLab, RStudio, and VSCode, with support for...
Delta
Delta offers a highly capable GPU-focused computing environment designed to support both GPU and CPU workloads.
- Delta CPU Delta CPU is the CPU-only portion of NCSA’s Delta system, an ACCESS-allocated high-performance computing resource designed for workloads that do not require GPU acceleration. Delta CPU is well suited ...
- Delta GPU Delta GPU is a GPU-focused high-performance computing resource operated by NCSA and allocated through ACCESS. The system is designed for GPU-accelerated and hybrid CPU-GPU workloads, including AI/ML t...
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
Derecho
Derecho is NCAR's large-scale HPC system combining high-core-count CPU nodes for parallel scientific computing with dedicated GPU nodes for AI, deep learning, and GPU-accelerated simulation.
- Derecho Derecho is NSF NCAR’s HPE Cray EX supercomputer. This ACCESS Derecho resource represents the CPU-focused portion of the system: 2,488 CPU-only compute nodes, each with 128 AMD EPYC Milan cores and 256...
- Derecho-GPU Derecho-GPU represents the GPU-enabled portion of NSF NCAR’s Derecho HPE Cray EX supercomputer. The system includes 82 GPU nodes, each with 64 AMD EPYC Milan CPU cores, 512 GB DDR4 memory, and four NV...
Expanse
Expanse is a flexible supercomputer at SDSC offering CPU and GPU compute alongside scalable storage and composable environments with integrated cloud provider access for diverse research workloads.
- Expanse CPU Expanse CPU has 728 AMD EPYC Rome nodes with 128 cores and 256 GB RAM each. Suited for parallel CPU workloads that scale across many nodes.
- Expanse GPU Expanse GPU has 52 nodes with four NVIDIA V100s (32 GB each) linked by NVLink. Suits multi-GPU AI/ML training and other workloads that scale across GPUs.
- Expanse Storage Expanse Storage provides a 12 PB Lustre parallel filesystem for fast scratch and project I/O and a 7 PB Ceph object store for object-storage workflows. Both are accessible from every Expanse node.
Granite
Granite is NCSA's long-term tape archive system providing high-capacity replicated storage for preserving large research datasets.
Jetstream2
Jetstream2 is a cloud-based research platform offering on-demand virtual machines with CPU, GPU, and large-memory configurations for interactive computing and persistent research environments.
- Jetstream2 CPU Jetstream2 CPU provides virtual machines running on AMD Milan 7713 CPU hosts. The physical CPU nodes provide 128 cores and 512 GiB RAM per node, connected by 100 Gbps Ethernet. Users create and manage...
- Jetstream2 GPU Jetstream2 GPU is a cloud-based computing resource that provides on-demand virtual machines with GPU acceleration for research and education. Unlike traditional HPC systems, users launch and manage th...
- Jetstream2 LM Jetstream2 Large Memory, also referred to as Jetstream2 LM, is a cloud-based computing resource that provides on-demand virtual machines with increased memory capacity for data-intensive applications....
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.
Neocortex
Neocortex is PSC's specialized AI resource, pairing Cerebras wafer-scale systems with a large shared-memory HPE Superdome Flex server.
- PSC Neocortex CS PSC Neocortex CS-2 is an on-premise deep learning system built around two Cerebras CS-2 accelerators. Each CS-2 is powered by the Wafer Scale Engine 2 (WSE-2) — a single processor the size of a full s...
- Neocortex SDFlex Neocortex SDFlex is the HPE Superdome Flex shared-memory host system associated with PSC Neocortex. It is suitable for memory-heavy CPU workloads, preprocessing, data staging, validation, compilation,...
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.
REPACSS
REPACSS is a power-aware HPC and AI infrastructure resource operated by Texas Tech University, supporting large-scale simulations, AI training, and data analytics.
- REPACCS CPU REPACCS CPU is for parallel computing and data analysis on CPU nodes. Each of its 110 nodes provides 256 AMD EPYC cores and 1.5 TB of memory, so high core-count jobs and large in-memory datasets both ...
- REPACSS GPU REPACSS GPU supports AI training and inference and other GPU-accelerated work. Each of its 8 nodes provides four NVIDIA H100 NVL GPUs with 94 GB of memory apiece, a fit for models and datasets t...
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.