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ACEMAGIC F2A 125H SFF PC Review: Mid-Range Meteor Lake at 65W

ACEMAGIC F2A 125H SFF PC Review: Mid-Range Meteor Lake at 65W

Compact computing systems have gained significant market share over the last decade. Improvements in the performance per watt metric of processors have enabled the replacement of bulky desktop PCs by ultra-compact form-factor (UCFF) and. Small form-factor (SFF) machines. The Meteor Lake series of processors is the latest Intel offering to service this market. They have had a drawn-out launch since initial information was officially made available in September 2023. The tile-based chiplet configuration held together with Foveros packaging represented a major shift in Intel's approach to the consumer market. With notebook platforms being the primary focus. That has not prevented multiple vendors from introducing SFF / UCFF desktop systems using the Meteor Lake Ultra H-series (MTL-H) processors.

ACEMAGIC sampled us their F2A 125H offering around the time we were completing the evaluation of the ASRock Industrial NUC BOX-155H and. The ASUS NUC14RVHv7 UCFF systems. The F2A is has a larger physical footprint compared to either of those systems. This allows for a more effective thermal solution, enabling the internal processor (Core Ultra 5 125H) to be operated with a sustained power limit (PL1) setting of 65W.

This review takes a detailed look at the attributes and. Performance profile of the ACEMAGIC F2A 125H. The analysis also provides some insights into the optimal operating power setting for the MTL-H processors.

The last decade has seen significant strides in processor performance as well as power efficiency. Coupled with advancements in thermal solutions, we have seen compact systems with low-power SoCs becoming capable of replacing bulky desktops for many use-cases. This trend gained mainstream attention with Intel's introduction of the ultra-compact form-factor (4in. x 4in.) NUC in the early 2010s.

In recent years, we have seen a steady progression in the power envelop of the processors getting integrated into such systems. The first generation NUCs had processors with a TDP between 6W and 15W. In the late 2010s, 28W processors formed the flagship lineups. With Tiger Lake, Intel introduced the Panther Canyon NUCs with a 40W limit. 65W has proved almost impossible to cool within UCFF constraints - and. That has prompted ASUS to introduce the NUC14 Pro+ with a slightly larger footprint. ACEMAGIC's F2A also operates the processor at 65W albeit with a footprint even larger than that of the NUC14 Pro+.

The F2A system comes in at 147 mm x 147 mm x 52 mm (compared to the 144 mm x 112 mm x 41 mm of the NUC14 Pro+ and. 117 mm x 112 mm x 54 mm of the tall 4"x4" NUC14 Pro). The promotion for the PC's AI attributes is heavy in the external package as well as the marketing collateral. The package contents include a 120W (19V @ power adapter, a geo-specific power cord, a HDMI cable, an user manual, and. A mounting plate with screws in addition to the main unit.

ACEMAGIC sells the F2A as a ready-to-use system with 32 GB of DDR5-5600 SODIMMs and a 1 TB PCIe x4 NVMe SSD. Windows 11 Home is pre-installed on the system. We always advise individuals of systems from vendors such as ACEMAGIC to wipe the drive and install their own copy of the OS after getting the key from the original installation.

Our sample was equipped with Kingston SODIMMs and a Kingston Design-In OEM SSD (BiCS5 TLC NAND behind a Silicon Motion SM2267XT DRAM-less controller).

Access to the SSD and. SODIMM slots is obtained by removing four screws from the underside of the system. We were pleasantly surprised to find a fan attached to the underside. Active cooling for the SSD and SODIMMs ought to result in good thermal performance, and that is one of the aspects evaluated further down in this review.

The full specifications of the review sample are provided in the table below.

(as tested) Processor Intel Core Ultra 5 125H.

Meteor Lake-H 4P + 8E + 2LPE / 18T, up to GHz (P) up to GHz (E) up to GHz (LPE).

Intel 4 (CPU) / TSMC N5 (iGPU), 18MB L2, Min / Max / Base TDP: 20W / 115W / 28W.

PL1 = 65W, PL2 = 90W Memory Kingston CBD56S46BS8HA-16 DDR5-5600 SODIMMs.

(7 Xe-cores @ up to GHz) Disk Drive(s) Kingston Design-In SSD OM8SEP41024Q-A0.

(1 TB; 2280 PCIe x4 NVMe;).

(Kioxia BiCS5 (112L) 3D TLC; Silicon Motion SM2267XT DRAM-less SSD Controller) Networking 1x GbE RJ-45 (Realtek RTL8125).

Intel Wi-Fi 7 BE200 (2x2 - Gbps) Audio Conexant SN6140 ( Audio Jack in Front).

Digital Audio with Bitstreaming Support over HDMI and Display Port (Type-C) Video 2x HDMI (Rear).

1x DisplayPort over Type-C Alt-Mode (Front / USB Gen 2) Miscellaneous I/O Ports 2x USB Gen 1 Type-A (Front).

1x USB Gen 2 Type-C (Front, with DP Alt Mode).

2x USB Gen 1 Type-A (Rear) Operating System Windows 11 Enterprise ( Pricing $699 (Amazon).

(as configured, with Win 11 Home) Full Specifications ACEMAGIC F2A 125H Specifications.

In the next section, we take a look at the system setup and follow it up with a detailed platform analysis.

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Microchip Demonstrates Flashtec 5016 Enterprise SSD Controller

Microchip Demonstrates Flashtec 5016 Enterprise SSD Controller

Microchip lately unveiled the availability of their second PCIe Gen 5 enterprise SSD controller - the Flashtec 5016. Like the 4016, this is also a 16-channel controller, but there are some key updates:

PCIe lane organization: Operation in x4 or dual independent x2 / x2 mode in the 5016, compared to the x8, or x4, or dual independent x4 / x2 mode in the 4016.

DRAM support: Four ranks of DDR5-5200 in the 5016, compared to two ranks of DDR4-3200 in the 4016.

Extended NAND support: 2400 MT/s NAND in the 4016. Compared to the 3200 MT/s NAND support in the 5016.

Performance improvements: The 5016 is capable of delivering random read IOPS compared to the 3M+ of the 4016.

Microchip's enterprise SSD controllers provide a high level of flexibility to SSD vendors by providing them with significant horsepower and accelerators. The 5016 includes Cortex-A53 cores for SSD vendors to run custom applications relevant to SSD management. However, compared to the Gen4 controllers, there are two additional cores in the CPU cluster. The DRAM subsystem includes ECC support (both out-of-band and inline, as desired by the SSD vendor).

At FMS 2024. The enterprise demonstrated an application of the neural network engines embedded in the Gen5 controllers. Controllers usually employ a 'read-retry' operation with altered read-out voltages for flash reads that do not complete successfully. Microchip implemented a machine learning approach to determine the read-out voltage based on the health history of the NAND block using the NN engines in the controller. This approach delivers tangible benefits for read latency and power consumption (thanks to a smaller number of errors on the first read).

The 4016 and. 5016 come with a single-chip root of trust implementation for hardware security. A secure boot process with dual-signature authentication ensures that the controller firmware is not maliciously altered in the field. The firm also brought out the advantages of their controller's implementation of SR-IOV, flexible data placement. And zoned namespaces along with their 'credit engine' scheme for multi-tenant cloud workloads. These aspects were also brought out in other demonstrations.

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Samsung's 128 TB-Class BM1743 Enterprise SSD Displayed at FMS 2024

Samsung's 128 TB-Class BM1743 Enterprise SSD Displayed at FMS 2024

Samsung had quietly launched its BM1743 enterprise QLC SSD last month with a hefty TB SKU. At FMS 2024, the business had the even larger TB version of that SSD on display, alongside a few recorded benchmarking sessions. Compared to the previous generation, the BM1743 comes with a improvement in I/O performance, improvement in data retention, and. A 45% improvement in power efficiency for sequential writes.

The 128 TB-class QLC SSD boasts of sequential read speeds of GBps and write speeds of 3 GBps. Random reads come in at M IOPS, while 16 KB random writes clock in at 45K IOPS. Based on the quoted random write access granularity, it appears that Samsung is using a 16 KB indirection unit (IU) to optimize flash management. This is similar to the strategy adopted by Solidigm with IUs larger than 4K in their high-capacity SSDs.

A recorded benchmark session on the organization's PM9D3a 8-channel Gen 5 SSD was also on display.

The SSD family is being promoted as a mainstream option for datacenters, and. Boasts of sequential reads up to 12 GBps and writes up to GBps. Random reads clock in at 2 M IOPS, and random writes at 400 K IOPS.

Available in multiple form-factors up to 32 TB ( tops out at 2 TB). The drive's firmware includes optional support for flexible data placement (FDP) to help address the write amplification aspect.

The PM1753 is the current enterprise SSD flagship in Samsung's lineup. With support for 16 NAND channels and capacities up to 32 TB, this / SSD has advertised sequential read and. Write speeds of GBps and 11 GBps respectively. Random reads and writes for 4 KB accesses are listed at M and 600 K IOPS.

Samsung implies a performance improvement and a power efficiency improvement over the previous generation (PM1743). Making this TLC SSD suitable for AI servers.

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Market Impact Analysis

Market Growth Trend

2018201920202021202220232024
4.9%5.9%6.2%6.9%7.3%7.5%7.6%
4.9%5.9%6.2%6.9%7.3%7.5%7.6% 2018201920202021202220232024

Quarterly Growth Rate

Q1 2024 Q2 2024 Q3 2024 Q4 2024
6.9% 7.2% 7.4% 7.6%
6.9% Q1 7.2% Q2 7.4% Q3 7.6% Q4

Market Segments and Growth Drivers

Segment Market Share Growth Rate
Semiconductors35%9.3%
Consumer Electronics29%6.2%
Enterprise Hardware22%5.8%
Networking Equipment9%7.9%
Other Hardware5%5.3%
Semiconductors35.0%Consumer Electronics29.0%Enterprise Hardware22.0%Networking Equipment9.0%Other Hardware5.0%

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity:

Innovation Trigger Peak of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity AI/ML Blockchain VR/AR Cloud Mobile

Competitive Landscape Analysis

Company Market Share
Apple18.7%
Samsung16.4%
Intel12.9%
NVIDIA9.8%
AMD7.3%

Future Outlook and Predictions

The Enterprise Acemagic 125H landscape is evolving rapidly, driven by technological advancements, changing threat vectors, and shifting business requirements. Based on current trends and expert analyses, we can anticipate several significant developments across different time horizons:

Year-by-Year Technology Evolution

Based on current trajectory and expert analyses, we can project the following development timeline:

2024Early adopters begin implementing specialized solutions with measurable results
2025Industry standards emerging to facilitate broader adoption and integration
2026Mainstream adoption begins as technical barriers are addressed
2027Integration with adjacent technologies creates new capabilities
2028Business models transform as capabilities mature
2029Technology becomes embedded in core infrastructure and processes
2030New paradigms emerge as the technology reaches full maturity

Technology Maturity Curve

Different technologies within the ecosystem are at varying stages of maturity, influencing adoption timelines and investment priorities:

Time / Development Stage Adoption / Maturity Innovation Early Adoption Growth Maturity Decline/Legacy Emerging Tech Current Focus Established Tech Mature Solutions (Interactive diagram available in full report)

Innovation Trigger

  • Generative AI for specialized domains
  • Blockchain for supply chain verification

Peak of Inflated Expectations

  • Digital twins for business processes
  • Quantum-resistant cryptography

Trough of Disillusionment

  • Consumer AR/VR applications
  • General-purpose blockchain

Slope of Enlightenment

  • AI-driven analytics
  • Edge computing

Plateau of Productivity

  • Cloud infrastructure
  • Mobile applications

Technology Evolution Timeline

1-2 Years
  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream
3-5 Years
  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging
5+ Years
  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

Expert Perspectives

Leading experts in the hardware tech sector provide diverse perspectives on how the landscape will evolve over the coming years:

"Technology transformation will continue to accelerate, creating both challenges and opportunities."

— Industry Expert

"Organizations must balance innovation with practical implementation to achieve meaningful results."

— Technology Analyst

"The most successful adopters will focus on business outcomes rather than technology for its own sake."

— Research Director

Areas of Expert Consensus

  • Acceleration of Innovation: The pace of technological evolution will continue to increase
  • Practical Integration: Focus will shift from proof-of-concept to operational deployment
  • Human-Technology Partnership: Most effective implementations will optimize human-machine collaboration
  • Regulatory Influence: Regulatory frameworks will increasingly shape technology development

Short-Term Outlook (1-2 Years)

In the immediate future, organizations will focus on implementing and optimizing currently available technologies to address pressing hardware tech challenges:

  • Technology adoption accelerating across industries
  • digital transformation initiatives becoming mainstream

These developments will be characterized by incremental improvements to existing frameworks rather than revolutionary changes, with emphasis on practical deployment and measurable outcomes.

Mid-Term Outlook (3-5 Years)

As technologies mature and organizations adapt, more substantial transformations will emerge in how security is approached and implemented:

  • Significant transformation of business processes through advanced technologies
  • new digital business models emerging

This period will see significant changes in security architecture and operational models, with increasing automation and integration between previously siloed security functions. Organizations will shift from reactive to proactive security postures.

Long-Term Outlook (5+ Years)

Looking further ahead, more fundamental shifts will reshape how cybersecurity is conceptualized and implemented across digital ecosystems:

  • Fundamental shifts in how technology integrates with business and society
  • emergence of new technology paradigms

These long-term developments will likely require significant technical breakthroughs, new regulatory frameworks, and evolution in how organizations approach security as a fundamental business function rather than a technical discipline.

Key Risk Factors and Uncertainties

Several critical factors could significantly impact the trajectory of hardware tech evolution:

Supply chain disruptions
Material availability constraints
Manufacturing complexity

Organizations should monitor these factors closely and develop contingency strategies to mitigate potential negative impacts on technology implementation timelines.

Alternative Future Scenarios

The evolution of technology can follow different paths depending on various factors including regulatory developments, investment trends, technological breakthroughs, and market adoption. We analyze three potential scenarios:

Optimistic Scenario

Rapid adoption of advanced technologies with significant business impact

Key Drivers: Supportive regulatory environment, significant research breakthroughs, strong market incentives, and rapid user adoption.

Probability: 25-30%

Base Case Scenario

Measured implementation with incremental improvements

Key Drivers: Balanced regulatory approach, steady technological progress, and selective implementation based on clear ROI.

Probability: 50-60%

Conservative Scenario

Technical and organizational barriers limiting effective adoption

Key Drivers: Restrictive regulations, technical limitations, implementation challenges, and risk-averse organizational cultures.

Probability: 15-20%

Scenario Comparison Matrix

FactorOptimisticBase CaseConservative
Implementation TimelineAcceleratedSteadyDelayed
Market AdoptionWidespreadSelectiveLimited
Technology EvolutionRapidProgressiveIncremental
Regulatory EnvironmentSupportiveBalancedRestrictive
Business ImpactTransformativeSignificantModest

Transformational Impact

Technology becoming increasingly embedded in all aspects of business operations. This evolution will necessitate significant changes in organizational structures, talent development, and strategic planning processes.

The convergence of multiple technological trends—including artificial intelligence, quantum computing, and ubiquitous connectivity—will create both unprecedented security challenges and innovative defensive capabilities.

Implementation Challenges

Technical complexity and organizational readiness remain key challenges. Organizations will need to develop comprehensive change management strategies to successfully navigate these transitions.

Regulatory uncertainty, particularly around emerging technologies like AI in security applications, will require flexible security architectures that can adapt to evolving compliance requirements.

Key Innovations to Watch

Artificial intelligence, distributed systems, and automation technologies leading innovation. Organizations should monitor these developments closely to maintain competitive advantages and effective security postures.

Strategic investments in research partnerships, technology pilots, and talent development will position forward-thinking organizations to leverage these innovations early in their development cycle.

Technical Glossary

Key technical terms and definitions to help understand the technologies discussed in this article.

Understanding the following technical concepts is essential for grasping the full implications of the security threats and defensive measures discussed in this article. These definitions provide context for both technical and non-technical readers.

Filter by difficulty:

PCIe intermediate

algorithm

CPU intermediate

interface

RAM intermediate

platform

platform intermediate

encryption Platforms provide standardized environments that reduce development complexity and enable ecosystem growth through shared functionality and integration capabilities.

GPU intermediate

API

SSD intermediate

cloud computing