Samsung begins mass production of PM1763 SSD with PCIe 6.0 for next-generation AI infrastructure

5 Sources

Share

Samsung has launched mass production of its PM1763, the industry's first PCIe 6.0-based enterprise SSD designed for AI and HPC servers. The drive delivers sequential read speeds up to 28,400 MB/s—twice the performance of its predecessor—and will power Nvidia's Vera Rubin AI platform. Built with 9th-generation V-NAND and a 4nm controller, the PM1763 addresses growing demands for faster, more efficient storage in AI data centers.

Samsung PM1763 SSD Enters Mass Production for AI Infrastructure

Samsung Electronics has officially begun mass production of the PM1763, marking a significant milestone as the world's first PCIe 6.0 SSD designed specifically for next-generation AI infrastructure and high-performance computing servers

1

. The enterprise solid-state drive addresses the rapidly expanding data requirements of AI training and inference workloads, where fast and reliable storage has become critical to overall system performance.

The mass production of PM1763 comes at a pivotal moment for the AI industry. According to TrendForce data cited in market reports, enterprise SSD revenue reached a record $18.46 billion in the first quarter, surging 86.1% from the previous quarter, driven by booming demand from cloud service providers and growing adoption of AI agent services

3

. This high-speed AI SSD is positioned to capture a significant share of this expanding market.

Source: Wccftech

Source: Wccftech

Industry-Leading Performance Powered by Advanced Technology

The Samsung PM1763 SSD incorporates the company's 9th-generation V-NAND technology paired with a newly developed 4nm controller, delivering substantial improvements in both performance and power efficiency

1

. Available in 4-terabyte, 8TB, and 16TB capacities, the flagship 16TB model achieves sequential read speeds of up to 28,400 megabytes-per-second and write speeds of up to 21,900MB/s—more than double the performance of its predecessor, the PM1753

2

.

These performance metrics translate into tangible benefits for AI operations. The drive can transfer a 40-gigabyte large language model in approximately 1.4 seconds, helping minimize data latency between processors and accelerators while improving overall AI processing efficiency

5

. This capability directly addresses data bottlenecks that have traditionally limited AI workload performance, particularly as models continue to grow in size and complexity.

Source: Samsung

Source: Samsung

Optimized for Nvidia Vera Rubin AI Platform

At Nvidia's GTC 2026 conference in March, Samsung disclosed that it would provide HBM4 memory, SOCAMM2 modules, and the PM1763 SSD for the Nvidia Vera Rubin AI platform, allowing the company to supply a broad range of memory technologies for the next-generation AI system

3

. This strategic partnership positions Samsung as a key supplier across multiple memory components for one of the industry's most anticipated AI platforms.

Jangseok Choi, Vice President and Head of Memory Product Planning at Samsung Electronics, emphasized the drive's readiness: "Built on industry-leading performance, PM1763 has successfully completed validation for next-generation AI platforms and is well positioned to support evolving AI infrastructure requirements. As AI models continue to grow in size and complexity, PM1763 will serve as a key solution that enables customers to efficiently scale memory capacity and optimize AI operations"

1

.

Thermal Management and Power Efficiency Advances

The PM1763 is specifically optimized for liquid-cooled server environments through direct-to-chip cooling technology, enabling sustained peak performance even under intensive workloads and extended operating conditions. This liquid-cooling optimization is increasingly important as AI data centers deploy higher-density configurations that generate substantial heat during HPC workloads.

Power efficiency represents another critical advancement. The drive delivers more than 1.8 times improved power efficiency compared to its predecessor, helping reduce overall datacenter operating costs

2

. As AI infrastructure scales and energy consumption becomes a growing concern for operators, this efficiency gain directly impacts total cost of ownership and sustainability metrics.

Enhanced Security for AI Workloads

Recognizing heightened security requirements in AI environments, Samsung has strengthened the PM1763's security capabilities with advanced cryptographic protections. The drive supports post-quantum cryptography algorithms designed to protect against future quantum computing threats, as well as TEE Device Interface Security Protocol, which helps secure data pathways in virtualized environments

5

. These security enhancements address growing concerns about data protection as AI systems process increasingly sensitive information.

The PCIe 6.0 interface itself doubles data transfer bandwidth compared with PCIe 5.0, providing the foundation for the PM1763's exceptional performance characteristics

3

. As AI servers increasingly rely on steady data flows to prevent GPU bottlenecks, this bandwidth expansion becomes essential for maintaining system efficiency across demanding workloads.

Today's Top Stories

© 2026 TheOutpost.AI All rights reserved