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Samsung Begins Mass Production of PM1763 SSD Optimized for Next-Generation AI Infrastructure
PCIe 6.0-based enterprise SSD delivers outstanding performance and enhanced power efficiency for AI and HPC servers 9th-generation V-NAND, 4nm controller and liquid-cooling optimization support demanding AI workloads Samsung Electronics a global leader in advanced memory technology, today announced mass production of PM1763, the company's PCIe® 6.0-based enterprise solid state drive (SSD) optimized for next-generation AI and HPC server environments. As the volume of data required for AI training and inference continues to grow rapidly, enterprise SSDs (eSSDs) capable of delivering data quickly and reliably are becoming increasingly essential to AI infrastructure. Featuring high-speed data transfer and an optimized controller architecture, PM1763 is expected to serve as a key storage solution for high-performance AI platforms. "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," said Jangseok Choi, Vice President and Head of Memory Product Planning at Samsung Electronics. "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." Incorporating Samsung's 9th-generation V-NAND and a newly developed 4-nanometer (nm) controller, PM1763 significantly improves both performance and power efficiency. PM1763 is available in 4-terabyte (TB), 8TB and 16TB capacities, with the 16TB configuration delivering industry-leading performance with sequential read and write speeds of up to 28,400 megabytes-per-second (MB/s) and 21,900MB/s, respectively -- more than 2 times the performance of its predecessor, PM1753. This level of performance allows the transfer of a 40-gigabyte (GB) large language model (LLM) in approximately 1.4 seconds, helping minimize data latency between processors and accelerators while improving overall AI processing efficiency. PM1763 is optimized for liquid-cooled server environments through direct-to-chip (D2C) cooling technology. This enables sustained peak performance even under intensive workloads and extended operating conditions. Power efficiency is also improved by more than 1.8 times compared to its predecessor, helping reduce overall datacenter operating costs. To address growing security requirements in AI, Samsung has also strengthened PM1763's security capabilities. The drive supports post-quantum cryptography (PQC) algorithms designed to protect against future quantum computing threats, as well as TEE Device Interface Security Protocol (TDISP), which helps secure data pathways in virtualized environments.
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Samsung Mass Produces World's First PCIe 6.0 SSD, Hitting 28.4 GB/s To Feed NVIDIA's Vera Rubin AI Servers
Samsung has announced the mass production of the PM1763 PCIe 6.0 SSD, which is optimized for next-gen AI servers such as NVIDIA's Vera Rubin. The Rise In AI Requires Next-Gen Storage Solutions Such as Samsung's PM1763 PCIe 6.0 SSD, Now In Mass Production Press Release: Samsung Electronics today announced mass production of PM1763, the company's PCIe 6.0-based enterprise solid-state drive (SSD) optimized for next-generation AI and HPC server environments. As the volume of data required for AI training and inference continues to grow rapidly, enterprise SSDs (eSSDs) capable of delivering data quickly and reliably are becoming increasingly essential to AI infrastructure. Featuring high-speed data transfer and an optimized controller architecture, PM1763 is expected to serve as a key storage solution for high-performance AI platforms. Incorporating Samsung's 9th-generation V-NAND and a newly developed 4-nanometer (nm) controller, PM1763 significantly improves both performance and power efficiency. PM1763 is available in 4-terabyte (TB), 8TB, and 16TB capacities, with the 16TB configuration delivering industry-leading performance with sequential read and write speeds of up to 28,400 megabytes-per-second (MB/s) and 21,900MB/s, respectively, more than 2 times the performance of its predecessor, PM1753. This level of performance allows the transfer of a 40-gigabyte (GB) large language model (LLM) in approximately 1.4 seconds, helping minimize data latency between processors and accelerators while improving overall AI processing efficiency. PM1763 is optimized for liquid-cooled server environments through direct-to-chip (D2C) cooling technology. This enables sustained peak performance even under intensive workloads and extended operating conditions. Power efficiency is also improved by more than 1.8 times compared to its predecessor, helping reduce overall data center operating costs. Follow Wccftech on Google to get more of our news coverage in your feeds.
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Samsung Begins Mass Production of High-Speed AI SSD for Nvidia Vera Rubin, Strengthening Its Position in
Samsung's New AI SSD Targets Faster Data Center Performance On Tuesday, Samsung announced the start of mass production for the PM1763, its newest enterprise SSD designed for AI data centers. The PM1763 is built on the PCIe 6.0 interface, which doubles data transfer bandwidth compared with PCIe 5.0. Samsung said the 16TB model delivers sequential read speeds of up to 28,400 MB/s and write speeds of up to 21,900 MB/s -- roughly twice the performance of its predecessor, the PM1753. The drive will be offered in 4TB, 8TB and 16TB capacities. At Nvidia's GTC 2026 conference in March, Samsung disclosed that it would provide HBM4 memory, SOCAMM2 modules and the PM1763 SSD for Vera Rubin, allowing it to supply a broad range of memory technologies for the AI platform. According to TrendForce, booming demand from cloud service providers and the growing adoption of AI agent services pushed enterprise SSD revenue to a record $18.46 billion in the first quarter, up 86.1% from the previous quarter. AI Infrastructure Demands Faster Storage And Better Efficiency Faster storage is increasingly critical for AI servers because GPUs rely on a steady flow of data from storage. Higher SSD performance helps minimize bottlenecks, allowing AI systems to process workloads more efficiently. Samsung said that the PM1763 improves power efficiency by more than 1.8 times versus the previous generation, potentially lowering operating costs for power-hungry AI data centers. The SSD also supports liquid-cooled server environments and incorporates enhanced security features, including encryption designed to strengthen protection against future quantum computing threats and safeguards for virtualized data pathways. Samsung's Preliminary Q2 Earnings On Monday, Samsung reported preliminary operating profit of 89.4 trillion won ($58.4 billion) for the April-June quarter, up from 57.2 trillion won ($37.58 billion) in the previous quarter and 4.68 trillion won ($3.07 billion) a year earlier. The company also projected preliminary revenue of 171 trillion won ($112.3 billion), compared with 133.87 trillion won ($87.9 billion) in the first quarter and 74.57 trillion won ($49 billion) in the year-ago period. Price Action: At the time of writing, Samsung traded at 288,500 KRW (about $190), down 2.53% on the South Korean exchange, according to Benzinga Pro. According to Benzinga Edge Stock Rankings, Samsung shares show positive price trends across the short, medium and long-term time frames. Disclaimer: This content was partially produced with the help of AI tools and was reviewed and published by Benzinga editors. Photo Courtesy: Kittyfly on Shutterstock.com Market News and Data brought to you by Benzinga APIs To add Benzinga News as your preferred source on Google, click here.
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Samsung starts mass production of PM1763 PCIe 6.0 Enterprise SSD for AI and HPC workloads
Samsung has announced the mass production of the PM1763, a PCIe® 6.0-based enterprise solid-state drive (eSSD). The new drive is specifically optimized to meet the high-throughput requirements of next-generation artificial intelligence (AI) and high-performance computing (HPC) server environments. As the data volumes required for AI training and inference expand, the demand for fast, reliable enterprise storage infrastructure has intensified. The PM1763 addresses these needs by integrating an optimized controller architecture designed to accelerate data transfer speeds and reduce latency across high-performance platforms. Performance and Technical Specifications The PM1763 is built using Samsung's 9th-generation V-NAND technology and features a newly developed 4-nanometer (nm) proprietary controller. The integration of these technologies yields improvements in both raw performance and operational efficiency. The SSD is available in three storage capacities: 4-terabyte (TB), 8TB, and 16TB. The top-tier 16TB model achieves sequential read speeds of up to 28,400 megabytes-per-second (MB/s) and sequential write speeds of up to 21,900 MB/s. * Performance Scalability: This data transfer rate represents more than a two-fold performance increase compared to Samsung's previous-generation model, the PM1753. * Latency Reduction: At these speeds, the drive can transfer a 40-gigabyte (GB) large language model (LLM) in approximately 1.4 seconds, minimizing the data bottlenecks traditionally found between host processors and AI accelerators. Thermal Management and Power Efficiency To accommodate the high-density configurations of modern data centers, the PM1763 has been engineered for liquid-cooled server architectures. It utilizes direct-to-chip (D2C) cooling compatibility, which assists in maintaining sustained peak performance during prolonged, intensive computational workloads. Additionally, the drive delivers a 1.8-fold increase in power efficiency over its predecessor. This reduction in power consumption per watt is intended to help enterprise operators lower the total cost of ownership (TCO) and reduce overall datacenter energy demands. Enhanced Security Architecture Recognizing the heightened security risks associated with enterprise AI data management, Samsung has updated the drive's cryptographic and hardware protections:
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Samsung Electronics Co., Ltd. Begins Mass Production Of PM1763 SSD Optimized For Next-Generation AI Infrastructure
Samsung Electronics Co., Ltd. announced mass production of PM1763, the company?s PCIe 6.0-based enterprise solid state drive (SSD) optimized for next-generation AI and HPC server environments. Featuring high-speed data transfer and an optimized controller architecture, PM1763 is expected to serve as a key storage solution for high-performance AI platforms. Incorporating Samsung's 9th-generation V-NAND and a newly developed 4-nanometer (nm) controller, PM1763 significantly improves both performance and power efficiency. PM1763 is available in 4-terabyte (TB), 8TB and 16TB capacities, with the 16TB configuration delivering industry-leading performance with sequential read and write speeds of up to 28,400 megabytes-per-second (MB/s) and 21,900MB/s, respectively?more than 2 times the performance of its predecessor, PM1753. This level of performance allows the transfer of a 40-gigabyte (GB) large language model (LLM) in approximately 1.4 seconds, helping minimize data latency between processors and accelerators while improving overall AI processing efficiency. PM1763 is optimized for liquid-cooled server environments through direct-to-chip (D2C) cooling technology. This enables sustained peak performance even under intensive workloads and extended operating conditions. Power efficiency is also improved by more than 1.8 times compared to its predecessor, helping reduce overall datacenter operating costs. To address growing security requirements in AI, Samsung has also strengthened PM1763's security capabilities. The drive supports post-quantum cryptography (PQC) algorithms designed to protect against future quantum computing threats, as well as TEE Device Interface Security Protocol (TDISP), which helps secure data pathways in virtualized environments.
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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 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
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. 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
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. This high-speed AI SSD is positioned to capture a significant share of this expanding market.
Source: Wccftech
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
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. 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 PM17532
.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
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. 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
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
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. 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"
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.Related Stories
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
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. 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.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
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. 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
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. 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.Summarized by
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