Reliable Data Storage Hardware for AI Infrastructure
High-performance, enterprise-grade storage systems built to support AI workloads, large-scale data pipelines, and mission-critical environments.
Storage Hardware Built for AI Workloads
PS 3000 NVMe
Accelerated Storage for AI
The PAC Storage NVMe 3000—offered in 2U 24-bay and 4U 48-bay configurations—delivers the extreme performance and scale required for modern AI workloads. With up to 200GbE connectivity, Intel’s latest CPUs, and PCIe Gen 4 architecture, it provides up to 24GB/s read and 12GB/s write throughput to keep GPU clusters and data-hungry training pipelines fully fed.
Designed for environments where low latency and massive parallel access are critical, the NVMe 3000 supports both block and file-level data, making it ideal for model training, feature store acceleration, real-time inference, HPC, and other performance-intensive use cases. Its scalable design ensures you can expand capacity and bandwidth as your AI data footprint grows—without compromising speed or reliability.
RAID Available In:
2U 24-Bay, 2.5” Drives
4U 48-Bay, 2.5” Drives
*Please note you can run 2.5” Drives in the 3.5” Carriers with Carrier Converters.
PS 5000 Ultra NVMe
Next-Generation Throughput for Scalable AI
The PAC Storage 24-Bay NVMe 5000 takes performance to a new tier with PCIe Gen 5 architecture, Intel’s newest processors, and blazing throughput up to 125GB/s and 2.45M IOPS—delivering the sustained bandwidth modern AI stacks demand. Its ultra-low-latency design ensures GPU clusters remain fully utilized during model training, fine-tuning, and large-scale inference, eliminating storage bottlenecks that slow iteration cycles.
Engineered for environments where precision and parallelism are essential, the NVMe 5000 supports both block and file-level access, making it a powerful fit for large-model training, vector database acceleration, HPC, and advanced analytics. With exceptional scalability and reliability, it gives organizations a high-performance foundation to expand AI initiatives and speed up data-driven innovation.
RAID Available In:
2U 24-Bay, 2.5” Drives
Note:
*Please note you can run 2.5” Drives in the 3.5” Carriers with Carrier Converters.
PAC Storage PS 5000
High-Density Storage for AI at Scale
The PAC Storage NVMe 5000 (24-bay) and NVMe 3000 systems (available in 2U 24-bay and 4U 48-bay configurations) deliver the extreme performance required for modern, data-intensive AI pipelines. With up to 200GbE connectivity, 1.3 million IOPS, and as much as 50GB/s throughput powered by Intel’s latest CPUs across PCIe Gen 4 and Gen 5 architectures, these platforms ensure GPU clusters receive sustained, low-latency data flow during training, fine-tuning, and inference.
Supporting both block-level and file-level access, this high-density portfolio is well suited for large-scale model training, feature store operations, vector databases, HPC, and other environments where consistent high throughput and massive parallelism are essential. With up to 2.2PB in a single 4U chassis, organizations gain the performance headroom and scalability needed to accelerate AI productivity while keeping infrastructure efficient and future-ready.
Form Factors Available In:
4U 90 Bay: 90 HDDs + 4 NVMe Drives
Note:
*You can run 2.5” Drives in the 3.5” Carriers with Carrier Converters. This allows you to also run SSD (2.5”) pools in the same 3.5” chassis.
PS 3000 NVMe
Accelerated Storage for AI
The PAC Storage NVMe 3000—offered in 2U 24-bay and 4U 48-bay configurations—delivers the extreme performance and scale required for modern AI workloads. With up to 200GbE connectivity, Intel’s latest CPUs, and PCIe Gen 4 architecture, it provides up to 24GB/s read and 12GB/s write throughput to keep GPU clusters and data-hungry training pipelines fully fed.
Designed for environments where low latency and massive parallel access are critical, the NVMe 3000 supports both block and file-level data, making it ideal for model training, feature store acceleration, real-time inference, HPC, and other performance-intensive use cases. Its scalable design ensures you can expand capacity and bandwidth as your AI data footprint grows—without compromising speed or reliability.
RAID Available In:
2U 24-Bay, 2.5” Drives
4U 48-Bay, 2.5” Drives
*Please note you can run 2.5” Drives in the 3.5” Carriers with Carrier Converters.
PS 5000 NVMe
Next-Generation Throughput for Scalable AI
The PAC Storage 24-Bay NVMe 5000 takes performance to a new tier with PCIe Gen 5 architecture, Intel’s newest processors, and blazing throughput up to 125GB/s and 2.45M IOPS—delivering the sustained bandwidth modern AI stacks demand. Its ultra-low-latency design ensures GPU clusters remain fully utilized during model training, fine-tuning, and large-scale inference, eliminating storage bottlenecks that slow iteration cycles.
Engineered for environments where precision and parallelism are essential, the NVMe 5000 supports both block and file-level access, making it a powerful fit for large-model training, vector database acceleration, HPC, and advanced analytics. With exceptional scalability and reliability, it gives organizations a high-performance foundation to expand AI initiatives and speed up data-driven innovation.
RAID Available In:
2U 24-Bay, 2.5” Drives
Note:
*Please note you can run 2.5” Drives in the 3.5” Carriers with Carrier Converters.
PAC Storage PS 5000
High-Density Storage for AI at Scale
The PAC Storage NVMe 5000 (24-bay) and NVMe 3000 systems (available in 2U 24-bay and 4U 48-bay configurations) deliver the extreme performance required for modern, data-intensive AI pipelines. With up to 200GbE connectivity, 1.3 million IOPS, and as much as 50GB/s throughput powered by Intel’s latest CPUs across PCIe Gen 4 and Gen 5 architectures, these platforms ensure GPU clusters receive sustained, low-latency data flow during training, fine-tuning, and inference.
Supporting both block-level and file-level access, this high-density portfolio is well suited for large-scale model training, feature store operations, vector databases, HPC, and other environments where consistent high throughput and massive parallelism are essential. With up to 2.2PB in a single 4U chassis, organizations gain the performance headroom and scalability needed to accelerate AI productivity while keeping infrastructure efficient and future-ready.
Form Factors Available In:
4U 90 Bay: 90 HDDs + 4 NVMe Drives
Note:
*You can run 2.5” Drives in the 3.5” Carriers with Carrier Converters. This allows you to also run SSD (2.5”) pools in the same 3.5” chassis.
Why Reliable Storage Is Critical for AI Systems
Data Integrity Impacts Model Accuracy
Corrupted or inconsistent data leads to flawed AI outputs.
Downtime Disrupts AI Workflows
Training jobs can take days or weeks—hardware failure is costly.
Performance Bottlenecks Slow Innovation
Slow storage = slower model training and deployment.
Scalability Enables Growth
AI systems grow fast—your infrastructure must keep up.