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Samsung has a 16TB PCIe 6.0 SSD coming soon with read/write speeds of 28.4GBps and 21.9GBps respectively -- but you won't be able to use it anyway
* Samsung's PM1763 entered mass production as the fastest SSD on paper, focusing solely on AI data centers as its key market * The PM1763 offers read and write speeds of 28.4GB/s and 21.9GB/s respectively, essentially twice that of its predecessor, the PM1753 * The drive can't physically be used in consumer-grade PCs, adhering to an EDSFF-only form factor while also requiring PCI-E 6.0 channels, something that has yet to be available to end-users Samsung has announced it is now mass-producing the PM1763 SSD, which aims to replace the PM1753 as its highest-end enterprise-class SSD for AI customers. The PM1763 offers read speeds of 28,400 MB/s and write speeds of 21,900 MB/s, leveraging PCIe 6.0 connections. It uses the company's 9th-generation V-NAND, along with a 4nm controller, to deliver these speeds even as PCI-E 6.0 offers double the per-lane bandwidth available to users. A very fast SSD that narrowly beats the competition where it matters Samsung's offering is, at the time of writing, without doubt, the fastest SSD available to enterprise clients on paper, but it does have a few caveats. The company claims the PM1763 offers "industry-leading performance", and that is definitely true in both the read and write departments, especially the latter, but it barely ekes out a win in the former over the Micron 9650. The Micron 9650 offers read speeds of 28,000 MB/s and much slower write speeds of 14,000 MB/s sequentially, also leveraging PCI-E 6.0 to deliver such performance. Samsung's SSD is decisively faster on another metric that is key for AI customers, however: it offers 6.92 MIOPS in sequential read speed versus Micron's 5.5 MIOPS. Micron's offering, however, has already been in mass production since February 2026 and is expected to enjoy greater availability for the rest of the year than Samsung's enterprise flagship. Samsung's offering also incorporates other gains: it delivers power efficiency that the semiconductor giant says is 1.8x better than the PM1753 and supports both post-quantum cryptography (PQC) algorithms and the TEE Device Interface Security Protocol (TDISP). It must be noted that both Micron and Samsung's offerings are only part of the puzzle, as enterprise consumers are currently gearing up for the next generation of server hardware. Both Nvidia's Vera platform and AMD's EPYC "Venice" offer PCI-E 6.0 connectivity that these drives need to run at maximum speeds. One would expect similar gains soon in the consumer market, where Samsung's Gen 5-based 9100 Pro is one of the few that currently rule the roost with advertised read and write speeds of 14,800 MB/s and 13,400 MB/s, respectively, but that might be wishful thinking at best. The gains from the PM1763 are not expected to trickle down to consumers for a multitude of reasons. Primarily, PCI-E 6.0-supporting hardware does not currently exist at the consumer end, even as datacenters begin to adopt it. The bleeding-edge storage on offer is also expected to be prohibitively expensive, pitting consumers against datacenter clients with seemingly limitless pockets for now, and industry figures such as Phison's CEO are already warning that AI demand will keep NAND and DRAM in shortage through 2026; consumer storage is increasingly built from what the data centers do not take. The PM1763, therefore, at least from an end-user's perspective, might as well be a proof-of-concept SSD; it is unlikely to make its way onto their desktop anytime soon, and they are unlikely to be able to afford it unless they want to host a data-center-class server at home. The Gen 6 storage era has arrived, attached to hardware you cannot buy, in a shape you cannot mount, on an interface you do not have, built from NAND that was never going to reach you anyway. Sadly for enthusiasts looking for a faster SSD: The speeds are real. So is the velvet rope. Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews, and opinion in your feeds.
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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 begun mass production of the PM1763, its fastest enterprise SSD designed exclusively for AI infrastructure. The PCIe 6.0 SSD delivers sequential read speeds of 28.4GB/s and write speeds of 21.9GB/s—more than twice its predecessor's performance. Built with 9th-generation V-NAND and a 4nm controller, it targets next-generation AI platforms like Nvidia Vera Rubin but remains inaccessible to consumers due to its EDSFF form factor and datacenter-only specifications.
Samsung has officially started Samsung mass production of the PM1763, a PCIe 6.0 SSD specifically engineered for next-generation AI infrastructure and high-performance computing workloads
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. The enterprise SSD for AI represents a significant leap in storage technology, delivering sequential read speeds of up to 28,400 MB/s and write speeds of 21,900 MB/s—more than twice the performance of its predecessor, the PM17531
. Available in 4TB, 8TB, and 16TB capacities, the Samsung PM1763 SSD leverages the company's 9th-generation V-NAND technology paired with a newly developed 4nm controller to achieve these speeds2
.
Source: Wccftech
At this performance level, the drive can transfer a 40-gigabyte large language model in approximately 1.4 seconds, helping minimize data bottlenecks between processors and accelerators while improving overall AI processing efficiency
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. Jangseok Choi, Vice President and Head of Memory Product Planning at Samsung Electronics, stated that "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"2
.The high-speed AI SSD has already completed validation for next-generation AI platforms, including Nvidia Vera Rubin
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. At Nvidia's GTC 2026 conference in March, Samsung disclosed that it would supply HBM4 memory, SOCAMM2 modules, and the PM1763 SSD for Vera Rubin, positioning itself as a comprehensive memory technology provider for the AI platform4
. The timing aligns with growing demand from data centers, as enterprise SSD revenue reached a record $18.46 billion in the first quarter, up 86.1% from the previous quarter, driven by cloud service providers and AI agent services4
.Faster storage has become critical for AI servers because GPUs rely on steady data flow from storage. Higher SSD performance helps minimize bottlenecks, allowing AI systems to process workloads more efficiently
4
. Both Nvidia's Vera platform and AMD's EPYC "Venice" offer PCIe 6.0 connectivity that these drives require to run at maximum speeds1
.Source: Samsung
The PM1763 delivers power efficiency improvements of more than 1.8 times compared to its predecessor, potentially lowering operating costs for power-hungry data centers
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. This reduction in power consumption per watt helps enterprise operators lower total cost of ownership and reduce overall datacenter energy demands5
.To accommodate high-density configurations, the drive is optimized for liquid-cooled server environments through direct-to-chip (D2C) cooling technology
2
. This enables sustained peak performance even under intensive workloads and extended operating conditions, maintaining thermal stability during prolonged computational tasks5
.Related Stories
Recognizing heightened security risks in enterprise AI data management, Samsung strengthened the PM1763's security capabilities. The drive supports post-quantum cryptography (PQC) algorithms designed to protect against future quantum computing threats, as well as TDISP (TEE Device Interface Security Protocol), which helps secure data pathways in virtualized environments
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. These cryptographic and hardware protections address the growing security requirements as large language models and sensitive AI workloads become more prevalent.Despite its technical achievements, the Samsung PM1763 SSD won't reach consumer hands anytime soon. The drive adheres to an EDSFF form factor and requires PCIe 6.0 channels—neither of which currently exist at the consumer level
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. Industry figures such as Phison's CEO warn that AI demand will keep NAND and DRAM in shortage through 2026, meaning consumer storage is increasingly built from what data centers don't take1
. The bleeding-edge storage is expected to be prohibitively expensive, pitting consumers against datacenter clients with seemingly limitless budgets.Summarized by
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