#Optane Memory Server | Explore Tumblr posts and blogs

san-storage-blog · 21 days ago

Text

Accelerating Data Flow in Modern SAN Solution Environments

The demand for efficient, high-speed data transfer has skyrocketed in response to growing data-intensive applications such as AI, cloud computing, and big data analytics. To keep up, modern Storage Area Network (SAN) environments must evolve, enabling businesses to maintain seamless operations without bottlenecks or downtime.

This post explores how to accelerate data flow in SAN environments by leveraging cutting-edge technologies, optimized architectures, and tailored best practices. Whether you're an IT professional seeking to enhance your organization's data infrastructure or a data center manager looking for performance gains, this guide is for you.

Why Accelerating Data Flow in SANs Matters

The storage landscape today is vastly different from what it was a decade ago. Enterprises now contend with multi-petabyte data requirements, real-time analytics needs, and globally distributed teams requiring instant, secure access.

Accelerating data flow in SAN environments is critical because it directly impacts the following areas:

Performance for latency-sensitive applications like AI and machine learning.

Business continuity, as slower data transfer can lead to missed SLAs and reduced customer satisfaction.

Scalability, ensuring the infrastructure can meet future demands without performance trade-offs.

Without proper focus on speeding up SAN communication, organizations may face prolonged transfer times, higher latency, and inefficiencies that negatively affect services.

Key Challenges in Modern SAN Environments

Before we explore the solutions, it’s vital to understand the common challenges that modern SAN environments face when it comes to data flow.

1. Latency Bottlenecks

With the surge in remote access and 24/7 services, reducing latency is paramount. Traditional SAN solutions relying on aging hardware or slow interconnects often serve as a chokepoint in data transmission.

2. High Workload Diversity

Enterprise workloads are more diverse than ever, spanning transactional databases, analytics, AI training, and high-volume media files. Traditional, one-size-fits-all SAN architectures struggle to meet all these varying demands with precision performance.

3. Network Congestion

Aging or inadequately managed Fibre Channel or Ethernet fabrics can result in unnecessary packet loss, retransmissions, and slower overall performance.

4. Capacity Management

Modern SAN environments require designs that balance vast storage capacity with high-speed retrieval, but mismatched configurations can bog down data flow.

Strategies for Accelerating Data Flow in SAN Environments

The following strategies leverage advanced technologies and best practices to address challenges and enable faster, more reliable data transfer.

1. Upgrade to NVMe-oF (Non-Volatile Memory Express over Fabrics)

Switching to NVMe-oF in SAN architectures significantly reduces latency by optimizing the protocol layer for flash storage. NVMe-oF eliminates inefficiencies found in traditional SCSI interfaces by providing direct, high-speed communication between hosts and storage.

Why it matters: NVMe-oF offers concurrent, multi-queue support, enabling faster data access even under heavy workloads.

Use case: Enterprises running latency-critical applications, like AI model training or real-time transaction processing, experience significant benefits.

2. Implement Advanced Caching Solutions

Utilizing server-side or storage-based caching solutions can greatly enhance read/write performance. Modern caching systems use DRAM or even persistent memory like Intel Optane to temporarily store frequently accessed data closer to compute resources.

Why it matters: Reduces repetitive I/O operations for commonly used datasets, accelerating overall data retrieval.

Best practice: Pair caching solutions with predictive algorithms to ensure the right data is cached based on workload requirements.

3. Leverage Automated Storage Tiering

Tiered storage solutions automatically allocate data across different storage types based on performance needs. Frequently accessed data (hot data) is placed on high-performance flash, while rarely accessed data (cold data) is moved to HDDs or archival storage.

Why it matters: Improves cost-efficiency without sacrificing performance.

Example: A hybrid SAN employing all-flash arrays for high-priority workloads and slower magnetic storage for archiving creates an ideal balance.

4. Optimize Your Fabric Infrastructure

Advanced fabric technologies such as Fibre Channel Gen 6 and Ethernet-based RDMA (Remote Direct Memory Access) dramatically reduce network congestion. RDMA, in particular, bypasses CPU processing for network data, increasing throughput.

Why it matters: Faster interconnects facilitate seamless communication between SAN nodes, significantly boosting performance.

Pro tip: Regularly monitor fabric performance and use QoS (Quality of Service) policies to prioritize critical workloads.

5. Employ AI/ML for Intelligent SAN Management

AI-powered SAN management tools offer real-time performance analytics and proactive anomaly detection. By identifying potential bottlenecks and automatically redistributing workloads, these tools optimize SAN operations dynamically.

Why it matters: AI ensures that system performance remains consistent across changing workloads and infrastructure demands.

6. Use Compression and Deduplication Wisely

Data compression and deduplication technologies in SAN environments free up precious bandwidth and storage by reducing the volume of duplicate or redundant data being processed.

Why it matters: Leads to faster writes and extended storage capacity without compromising performance.

When to use: For environments with high data redundancy, such as backup systems or content repositories.

Real-World Impact of Accelerating Data Flow

Case Study: Optimizing an eCommerce Platform

An eCommerce enterprise handling millions of daily transactions faced slow order processing and higher cart abandonment due to SAN-related performance bottlenecks. After implementing NVMe-oF alongside a state-of-the-art RDMA fabric, processing times dropped by 30%, delivering seamless customer experiences and boosting revenue by 15%.

Case Study 2: Enhancing Data Analytics Timelines

A financial services firm reduced big data processing timelines by 40% by deploying automated storage tiering and caching solutions. Thanks to lower retrieval times, the firm gained faster access to insights, supporting better decision-making.

Best Practices for Maintaining High-Speed SAN Environments

Regular Performance Reviews: Continuously monitor latency, throughput, and IOPS (Input/Output Operations Per Second).

Upgrade Periodically: Stay ahead by upgrading hardware or software in line with evolving tech standards.

Establish Redundancy: Ensure your SAN design includes redundancy to handle unexpected node failures without affecting performance.

Train Personnel: Equip your IT teams with the latest knowledge to manage evolving SAN technologies effectively.

Unlock Your SAN’s True Potential

The evolution of modern SAN environments presents an exciting opportunity for IT professionals and enterprises to unlock unprecedented performance levels. From adopting NVMe-oF to leveraging AI-driven insights, there are countless ways to improve data flow efficiency and achieve better business outcomes.

Want to explore how advanced SAN solution technologies can transform your organization? Implement these best practices, and let your data center thrive.

#storage

0 notes

differenttimemachinecrusade · 1 month ago

Text

In-Memory Computing Market Landscape: Opportunities and Competitive Insights 2032

The In-Memory Computing Market was valued at USD 10.9 Billion in 2023 and is expected to reach USD 45.0 Billion by 2032, growing at a CAGR of 17.08% from 2024-2032

The in-memory computing (IMC) market is experiencing rapid expansion, driven by the growing demand for real-time data processing, AI, and big data analytics. Businesses across industries are leveraging IMC to enhance performance, reduce latency, and accelerate decision-making. As digital transformation continues, organizations are adopting IMC solutions to handle complex workloads with unprecedented speed and efficiency.

The in-memory computing market continues to thrive as enterprises seek faster, more scalable, and cost-effective solutions for managing massive data volumes. Traditional disk-based storage systems are being replaced by IMC architectures that leverage RAM, flash memory, and advanced data grid technologies to enable high-speed computing. From financial services and healthcare to retail and manufacturing, industries are embracing IMC to gain a competitive edge in the era of digitalization.

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3570

Market Keyplayers:

SAP SE – SAP HANA

IBM – IBM Db2 with BLU Acceleration

Microsoft – Azure SQL Database In-Memory

Oracle Corporation – Oracle TimesTen In-Memory Database

Intel – Intel Optane DC Persistent Memory

Microsoft – SQL Server In-Memory OLTP

GridGain Systems – GridGain In-Memory Computing Platform

VMware – VMware vSphere with Virtual Volumes

Amazon Web Services (AWS) – Amazon ElastiCache

Pivotal Software – Pivotal GemFire

TIBCO Software Inc.– TIBCO ActiveSpaces

Redis Labs – Redis Enterprise

Hazelcast – Hazelcast IMDG (In-Memory Data Grid)

Cisco – Cisco In-Memory Analytics

Qlik – Qlik Data integration

Market Trends Driving Growth

1. Rising Adoption of AI and Machine Learning

The increasing use of artificial intelligence (AI) and machine learning (ML) applications is fueling the demand for IMC solutions. AI-driven analytics require real-time data processing, making IMC an essential component for businesses leveraging predictive insights and automation.

2. Growing Demand for Real-Time Data Processing

IMC is becoming a critical technology in industries where real-time data insights are essential. Sectors like financial services, fraud detection, e-commerce personalization, and IoT-driven smart applications are benefiting from the high-speed computing capabilities of IMC platforms.

3. Integration with Cloud Computing

Cloud service providers are incorporating in-memory computing to offer faster data processing capabilities for enterprise applications. Cloud-based IMC solutions enable scalability, agility, and cost-efficiency, making them a preferred choice for businesses transitioning to digital-first operations.

4. Increased Adoption in Financial Services

The financial sector is one of the biggest adopters of IMC due to its need for ultra-fast transaction processing, risk analysis, and algorithmic trading. IMC helps banks and financial institutions process vast amounts of data in real time, reducing delays and improving decision-making accuracy.

5. Shift Toward Edge Computing

With the rise of edge computing, IMC is playing a crucial role in enabling real-time data analytics closer to the data source. This trend is particularly significant in IoT applications, autonomous vehicles, and smart manufacturing, where instant processing and low-latency computing are critical.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3570

Market Segmentation:

By Components

Hardware

Software

Services

By Application

Fraud detection

Risk management

Real-time analytics

High-frequency trading

By Vertical

BFSI

Healthcare

Retail

Telecoms

Market Analysis and Current Landscape

Key factors contributing to this growth include:

Surging demand for low-latency computing: Businesses are prioritizing real-time analytics and instant decision-making to gain a competitive advantage.

Advancements in hardware and memory technologies: Innovations in DRAM, non-volatile memory, and NVMe-based architectures are enhancing IMC capabilities.

Increased data volumes from digital transformation: The exponential growth of data from AI, IoT, and connected devices is driving the need for high-speed computing solutions.

Enterprise-wide adoption of cloud-based IMC solutions: Organizations are leveraging cloud platforms to deploy scalable and cost-efficient IMC architectures.

Despite its strong growth trajectory, the market faces challenges such as high initial investment costs, data security concerns, and the need for skilled professionals to manage and optimize IMC systems.

Regional Analysis: Growth Across Global Markets

1. North America

North America leads the in-memory computing market due to early adoption of advanced technologies, significant investments in AI and big data, and a strong presence of key industry players. The region’s financial services, healthcare, and retail sectors are driving demand for IMC solutions.

2. Europe

Europe is witnessing steady growth in IMC adoption, with enterprises focusing on digital transformation and regulatory compliance. Countries like Germany, the UK, and France are leveraging IMC for high-speed data analytics and AI-driven business intelligence.

3. Asia-Pacific

The Asia-Pacific region is emerging as a high-growth market for IMC, driven by increasing investments in cloud computing, smart cities, and industrial automation. Countries like China, India, and Japan are leading the adoption, particularly in sectors such as fintech, e-commerce, and telecommunications.

4. Latin America and the Middle East

These regions are gradually adopting IMC solutions, particularly in banking, telecommunications, and energy sectors. As digital transformation efforts accelerate, demand for real-time data processing capabilities is expected to rise.

Key Factors Driving Market Growth

Technological Advancements in Memory Computing – Rapid innovations in DRAM, NAND flash, and persistent memory are enhancing the efficiency of IMC solutions.

Growing Need for High-Speed Transaction Processing – Industries like banking and e-commerce require ultra-fast processing to handle large volumes of transactions.

Expansion of AI and Predictive Analytics – AI-driven insights depend on real-time data processing, making IMC an essential component for AI applications.

Shift Toward Cloud-Based and Hybrid Deployments – Enterprises are increasingly adopting cloud and hybrid IMC solutions for better scalability and cost efficiency.

Government Initiatives for Digital Transformation – Public sector investments in smart cities, digital governance, and AI-driven public services are boosting IMC adoption.

Future Prospects: What Lies Ahead?

1. Evolution of Memory Technologies

Innovations in next-generation memory solutions, such as storage-class memory (SCM) and 3D XPoint technology, will further enhance the capabilities of IMC platforms, enabling even faster data processing speeds.

2. Expansion into New Industry Verticals

IMC is expected to witness growing adoption in industries such as healthcare (for real-time patient monitoring), logistics (for supply chain optimization), and telecommunications (for 5G network management).

3. AI-Driven Automation and Self-Learning Systems

As AI becomes more sophisticated, IMC will play a key role in enabling real-time data processing for self-learning AI models, enhancing automation and decision-making accuracy.

4. Increased Focus on Data Security and Compliance

With growing concerns about data privacy and cybersecurity, IMC providers will integrate advanced encryption, access control, and compliance frameworks to ensure secure real-time processing.

5. Greater Adoption of Edge Computing and IoT

IMC’s role in edge computing will expand, supporting real-time data processing in autonomous vehicles, smart grids, and connected devices, driving efficiency across multiple industries.

Access Complete Report: https://www.snsinsider.com/reports/in-memory-computing-market-3570

Conclusion

The in-memory computing market is witnessing rapid expansion as organizations embrace real-time data processing to drive innovation and competitive advantage. With the integration of AI, cloud computing, and edge technologies, IMC is set to revolutionize industries by enabling faster, more efficient decision-making. As advancements in memory technology continue, businesses that invest in IMC solutions will be well-positioned for the future of high-performance computing.

About Us:

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

The In-Memory Computing Market was valued at USD 10.9 Billion in 2023 and is expected to reach USD 45.0 Billion by 2032, growing at a CAGR of 17.08% from 2024-2032

Get Sample Copy of This Report: https://www.snsinsider.com/sample-request/3570

Market Keyplayers:

SAP SE – SAP HANA

IBM – IBM Db2 with BLU Acceleration

Microsoft – Azure SQL Database In-Memory

Oracle Corporation – Oracle TimesTen In-Memory Database

Intel – Intel Optane DC Persistent Memory

Microsoft – SQL Server In-Memory OLTP

GridGain Systems – GridGain In-Memory Computing Platform

VMware – VMware vSphere with Virtual Volumes

Amazon Web Services (AWS) – Amazon ElastiCache

Pivotal Software – Pivotal GemFire

TIBCO Software Inc.– TIBCO ActiveSpaces

Redis Labs – Redis Enterprise

Hazelcast – Hazelcast IMDG (In-Memory Data Grid)

Cisco – Cisco In-Memory Analytics

Qlik – Qlik Data integration

Market Trends Driving Growth

1. Rising Adoption of AI and Machine Learning

2. Growing Demand for Real-Time Data Processing

3. Integration with Cloud Computing

4. Increased Adoption in Financial Services

5. Shift Toward Edge Computing

Enquiry of This Report: https://www.snsinsider.com/enquiry/3570

Market Segmentation:

By Components

Hardware

Software

Services

By Application

Fraud detection

Risk management

Real-time analytics

High-frequency trading

By Vertical

BFSI

Healthcare

Retail

Telecoms

Market Analysis and Current Landscape

Key factors contributing to this growth include:

Surging demand for low-latency computing: Businesses are prioritizing real-time analytics and instant decision-making to gain a competitive advantage.

Advancements in hardware and memory technologies: Innovations in DRAM, non-volatile memory, and NVMe-based architectures are enhancing IMC capabilities.

Increased data volumes from digital transformation: The exponential growth of data from AI, IoT, and connected devices is driving the need for high-speed computing solutions.

Enterprise-wide adoption of cloud-based IMC solutions: Organizations are leveraging cloud platforms to deploy scalable and cost-efficient IMC architectures.

Regional Analysis: Growth Across Global Markets

1. North America

2. Europe

3. Asia-Pacific

4. Latin America and the Middle East

Key Factors Driving Market Growth

Technological Advancements in Memory Computing – Rapid innovations in DRAM, NAND flash, and persistent memory are enhancing the efficiency of IMC solutions.

Growing Need for High-Speed Transaction Processing – Industries like banking and e-commerce require ultra-fast processing to handle large volumes of transactions.

Expansion of AI and Predictive Analytics – AI-driven insights depend on real-time data processing, making IMC an essential component for AI applications.

Shift Toward Cloud-Based and Hybrid Deployments – Enterprises are increasingly adopting cloud and hybrid IMC solutions for better scalability and cost efficiency.

Government Initiatives for Digital Transformation – Public sector investments in smart cities, digital governance, and AI-driven public services are boosting IMC adoption.

Future Prospects: What Lies Ahead?

1. Evolution of Memory Technologies

2. Expansion into New Industry Verticals

3. AI-Driven Automation and Self-Learning Systems

As AI becomes more sophisticated, IMC will play a key role in enabling real-time data processing for self-learning AI models, enhancing automation and decision-making accuracy.

4. Increased Focus on Data Security and Compliance

With growing concerns about data privacy and cybersecurity, IMC providers will integrate advanced encryption, access control, and compliance frameworks to ensure secure real-time processing.

5. Greater Adoption of Edge Computing and IoT

IMC’s role in edge computing will expand, supporting real-time data processing in autonomous vehicles, smart grids, and connected devices, driving efficiency across multiple industries.

Access Complete Report: https://www.snsinsider.com/reports/in-memory-computing-market-3570

Conclusion

About Us:

Jagney Dave - Vice President of Client Engagement

Phone: +1-315 636 4242 (US) | +44- 20 3290 5010 (UK)

#in-memory computing market #in-memory computing market Analysis #in-memory computing market Scope #in-memory computing market growth #in-memory computing market trends

0 notes

computer8920 · 5 months ago

Text

The Future of Server RAM: Emerging Technologies and Trends

Server RAM is an essential component in data centers and cloud infrastructures, crucially ensuring speed, efficiency, and reliability in modern computing environments. As businesses increasingly rely on data-driven operations, the demand for advanced server RAM solutions is growing. This blog explores the future of server RAM, focusing on emerging technologies and trends shaping the industry.

Introduction to Server RAM

Server RAM (Random Access Memory) is a volatile memory that provides fast access to data for active processes. Unlike permanent storage like SSDs or HDDs, RAM enables rapid data retrieval, which is vital for server operations. Over time, server RAM has evolved to support larger capacities, faster speeds, and greater efficiency, addressing the growing demands of server workloads.

The Evolution of Server RAM

From DDR to DDR5: The Double Data Rate (DDR) series has been the standard for server memory. DDR4, introduced in 2014, improved upon DDR3 with higher densities and lower voltage, offering better performance with speeds starting at 2133 MT/s. DDR5, released in 2020, significantly enhances performance with double the bandwidth and density of DDR4, reaching speeds from 4800 MT/s to potentially 8400 MT/s. DDR5 also incorporates technologies like Decision Feedback Equalization (DFE) for improved signal integrity and reduced latency.

The Rise of Persistent Memory: Persistent memory, like Intel Optane, combines the speed of RAM with the non-volatility of storage. It retains data even during power outages, offering faster data access, enhanced data integrity, and cost efficiency. Persistent memory can act as an intermediate storage tier, improving performance without relying on expensive DRAM.

Emerging Technologies in Server RAM

DDR5 and Beyond: Research is already underway for future generations of DDR memory, such as DDR6, which are expected to offer higher speeds, efficiency, and error correction.

3D Stacking and High-Bandwidth Memory (HBM): 3D stacking and HBM technologies stack memory chips vertically, offering higher capacities in smaller footprints, increased bandwidth, and lower power consumption. These are ideal for data-intensive tasks like AI, machine learning, and high-performance computing.

Next-Generation Non-Volatile Memory Express (NVMe): NVMe, typically used for storage, is being integrated with memory technologies for low-latency, high-speed memory solutions. The combination of NVMe with persistent memory enhances performance and scalability in data centers.

Trends Shaping the Future of Server RAM

AI and Machine Learning: The rise of AI and ML demands faster, high-capacity server RAM to process large datasets quickly. Future RAM technologies must meet the high-performance requirements of these data-intensive applications.

Edge Computing: Edge computing, which processes data closer to the source of generation, requires memory that can handle real-time data processing. Technologies like HBM and persistent memory are well-suited for these environments, offering the necessary performance and efficiency in constrained spaces.

Data Center Optimization: As data centers grow, optimizing memory usage becomes crucial. Memory disaggregation, which separates memory from individual servers for central pooling, and composable infrastructure, which allows dynamic resource allocation, are key trends in improving efficiency and reducing costs.

Green Computing: Environmental sustainability is a key consideration. Innovations in low-power DDR and energy-efficient stacking technologies aim to reduce power consumption and create more sustainable data centers.

Challenges and Considerations

Compatibility and Integration: New memory technologies must seamlessly integrate with existing server architectures. Collaboration between memory manufacturers and vendors is vital to ensure smooth adoption.

Cost: While advanced memory technologies like HBM and persistent memory offer performance benefits, they often come with higher costs. Balancing cost and performance will be important for widespread adoption, especially among budget-conscious organizations.

Reliability and Longevity: New memory technologies must be reliable and capable of withstanding continuous operation, ensuring stability in enterprise environments.

Security: As memory technology evolves, so do security concerns. Protecting sensitive data stored in memory from vulnerabilities will be essential, with encryption and error-correction technologies playing critical roles.

Conclusion

The future of server RAM is marked by significant advancements, such as DDR5, 3D stacking, HBM, NVMe, and persistent memory. These innovations will enable faster, more efficient, and reliable memory solutions for data centers and enterprises. As AI, edge computing, and data center optimization drive increasing demands, server RAM's role in modern computing environments will continue to grow. However, compatibility, cost, reliability, and security challenges must be addressed for these technologies to reach their full potential, promising a more powerful and efficient computing future.

Want to Buy Server RAM in Bulk at an Affordable Price from VSTL?

If you're looking to buy server RAM in bulk at an affordable price, consider options from a reliable supplier that offers high-quality, cost-effective memory solutions. Purchasing in bulk can help reduce overall costs while ensuring that your business or data center has the necessary resources to support growing demands. Whether you need DDR4, DDR5, or other advanced memory technologies, choosing a trusted provider ensures that you receive top-tier performance, reliability, and efficiency for your server infrastructure.

Future of Server RAM: Cutting-Edge Technologies and Key Trends

Explore the future of server RAM with insights on emerging technologies and trends, including DDR5, 3D stacking, HBM, NVMe in this blog.

#VSTL #Bulk #RAM #wholesaler #supplier

0 notes

govindhtech · 2 years ago

Text

Solidigm D7-P5810 SSD Specifications

The Solidigm D7-P5810 is a fast SLC SSD for write-intensive tasks

The D3- SATA offerings from Solidigm are for legacy servers, the D5- QLC-based offerings (with various models offering various trade-offs between cost and endurance), and the D7- NVMe drives for the best performance and endurance ratings.

TLC NAND has so far been used by the business in the D7 drives. The D7-P5810, which uses the company’s established 144L SLC 3D NAND, was recently added to the D7 portfolio for particularly write-intensive applications.

Hyperscalers have employed storage-class memory (SCM) solutions like Optane for a range of use-cases including write-caching, HPC workloads, journaling, online transaction processing (OLTP), etc. The Optane product line’s discontinuation has created several chances for SSD companies to enter the market with devices that are similar to near-SCM.

Earlier this year, Micron unveiled their XTR NVMe SSDs, which used their 176L 3D NAND in SLC mode. The business had developed specs for near-Optane performance in Microsoft SQL Server analytical applications and optimised the firmware on the drives. With the D7-P5810, Solidigm is using a similar strategy, but with adjustments for a new use-case.

Solidigm determined that the Optane drives were significantly over-engineered for the criteria fulfilled by Alibaba’s (Optane + QLC) deployment for local discs in their cloud servers. As an instance, Optane offered 100 DWPD whereas Alibaba’s workload only required 37.

Alibaba’s setup resulted in the Optane drive producing 20K IOPS per tenant, however the 4K random write needs were only 8K IOPS per tenant. Solidigm has improved the firmware of the D7-P5810 to provide 50 DWPD worst-case durability and 10K IOPS per tenant at capacities comparable to the Optane SSDs used by Alibaba in order to fulfil these criteria.

Below is a summary of the D7-P5810’s specs. The 1.6 TB version of the drive is anticipated to debut in the first half of 2024, while the 800 GB model is already in widespread production.

At Storage Field Day 26, the firm gave a few engaging presentations. In one of them, the company displayed a slide contrasting the D7-P5810 with its rivals.

It is obvious from the slide above that Competitor A is Kioxia’s FL6 Series and that Competitor B is Micron’s XTR NVMe SSD. The demands for sequential speeds, random access IOPS, longevity, and power consumption vary depending on the corporate SSD use-case. Vendors are beginning to provide specialised drives with firmware that is tailored for a certain use-case as a consequence.

The vendor’s optimisation for various use-cases might be blamed for the disparities in the aforementioned comparison. Apart from the fundamental variations in the flash packages (176L in Micron’s XTR vs. 96L BiCS in Kioxia’s FL6 vs. 144L in Solidigm’s D7-P5810), it is possible that these suppliers may reach other compromises with the firmware of their drives if necessary.

The Cloud Storage Acceleration Layer (CSAL) team from Intel was bought by Solidigm earlier this year. The team at Intel had been working on Optane as a companion drive for slower media and had open-sourced their work in the Storage Performance Development Kit.

The company’s focus has changed from Optane to SLC after joining Solidigm, with a focus on utilising drives like the D7-P5810 as a complement to their high-density QLC drives.

The D7-P5810 may be utilised in a broad range of situations, including metadata storage, caching, and data placement depending on service-level agreement (SLA) needs, in addition to the aforementioned use-case in deployment at Alibaba.

The D7-P5810 has been added to the Solidigm enterprise SSD product line, expanding its product portfolio to include a wide range of endurance ratings that are appropriate for a variety of applications and use-cases.

It is encouraging to see companies like Micron and Solidigm moving up to offer SLC-based solutions, even though Optane may soon be coming to an end. The makers are also able to provide business SSD users a cost-effective option by refraining from over-engineering for certain use-cases that are already covered by Optane drives.

#govindhtech #technology #technews #ssd #nvme #sql #micron #Solidigm

0 notes

ithegoldcube · 5 years ago

Text

Using Gold Cube Buying ATM

The Gold Cube’s mission statement is simple: Give customers the BEST deal possible when selling their unwanted gold or silver. Gold Cube is the World's 1st Cash for Gold and Silver Machine. The ATM allows customers to receive money for their jewelry, coins and bars. As a result the recycling of unwanted jewelry has also shown a steady increase from 2014 to 2016 and is expected to continue to grow.

The Gold Cube generated worldwide buzz and anticipation after thousands saw and touched the ATM machine on Hardware Alley at Disrupt NY 2016, which was held at the Brooklyn Cruise Terminal in New York City. Shortly after to returning to Florida, GoldCube was then invited to the Silicon Valley Open Doors 2016 Technology Investment Conference, where it was honored to be interviewed as an upcoming startup to watch.

Gold Cube ATM accepts all sorts of gold and silver items, including:

Ø Broken

Ø Scrap

Ø Coins

Ø Watches

Ø Retail quality pieces

Ø Bars

Ø Metals

The company believes the deployment of the Gold Cube ATM kiosks will have a competitive advantage over pawnshops and jewellers in the buying of jewelry, coin and metal because of:

Ø Lower company overhead (no storefront)

Ø Lower personnel costs (minimal payroll)

Ø Fewer essay calculation errors.

Gold Cube is introducing to two more locations for our gold ATM machine and gold dispensing ATM in central Florida.

How It Works

The automated Cash for Gold and Silver machine uses the latest Intel's 3D XPoint Optane Memory technology to perform spectral analysts and weight the products placed by shoppers. The ATM is able to determine the purity of silver and gold and provide the real-time value price in a matter of minutes.

Each terminal is connected to a server that constantly monitors the market pricing in the United States, Europe, and China in order to give customers the precise real-time value of their gold or silver jewelry and coin.

In 2019, Gold Cube plans to accept cryptocurrency as a payment option. Customers will also have the ability to convert popular cryptocurrencies into cash at Gold Cube ATM locations.

The volume of gold and silver transactions across the United States is constantly growing and Florida makes no exception. To meet this demand, Gold Cube has created a state-of-the-art mobile kiosk that allows customers to evaluate and sell gold. It acts like a fully automated pawn shop, with very a user-friendly interface.

#gold cube

2 notes · View notes

monimega · 2 years ago

Text

HPE DL380 GEN10 SERVER RACK XEON-S 4210 10 CORE 2,2GHz 32GB DDR4 8SFF SAS,SATA P20174-B21 https://monimega.com/sun/it/server/75269-hpe-dl380-gen10-server-rack-xeon-s-4210-10-core-22ghz-32gb-ddr4-8sff-sassata-p20174-b21-4549821313860.html

Is your server bottleneck due to storage, compute, or expansion? The HPE ProLiant DL380 Gen10 server represents the latest generation in security, expandability, and performance, backed by a comprehensive warranty. Adopt standards compliant with the most reliable computing platform. HPE ProLiant DL380 Gen10 server is confidently designed to reduce cost and complexity with 1st and 2nd generation Intel® Xeon® Scalable processor family with up to 60% performance boost and core increase by 27%, plus 2933 MT/s HPE DDR4 SmartMemory supporting 3.0 TB. It supports 12Gb/s SAS and up to 20 NVMe drives, along with a variety of compute options. Intel® Optane™ Persistent Memory 100 Series for HPE delivers unprecedented levels of performance for database and analytics workloads. Any application, from essential to mission-critical, can be run and deployed with absolute confidence.

Hewlett Packard Enterprise ProLiant DL380 Gen10. Processor family: Intel Xeon Silver, Processor frequency: 2.2 GHz, Processor model: 4210. Internal memory: 32 GB, Internal memory type: DDR4-SDRAM, Memory layout (slots x size): 1 x 32 GB. HDD interface: Serial ATA, Serial Attached SCSI (SAS). Ethernet LAN. Power supply: 500 W, Redundant power supply (RPS) support. Chassis type: Rack (2U)

#hpe #server #dl380 #xeon

0 notes

tumsozluk · 3 years ago

Text

Intel CEO warns of more difficult times ahead

Intel CEO Pat Gelsinger has warned that the company’s recent performance has been sluggish and likely to get worse before it gets better. Speaking at the Evercore ISI TMT conference, Gelsinger explained that he expects Intel to continue to lose market share. server The processor market will start recovering next year, in 2025. After selling that Optane memory Intel will likely take further steps…

View On WordPress

0 notes

infomen · 9 days ago

Text

High-Density Innovation for Future-Ready Enterprises

Looking for maximum performance in a compact form? The HD-H261-3C0 (Gen001) by HexaData brings 4 powerful nodes into a 2U chassis, delivering unmatched compute density, memory scalability, and energy efficiency.

1. Processor Excellence: Powered by 2nd Gen Intel® Xeon® Scalable processors, with up to 8 sockets across nodes — ideal for heavy workloads like AI, HPC, and big data analytics.

2. Unmatched Memory Capacity: Supports 64 DIMM slots for DDR4 memory up to 2933MHz, plus Intel® Optane™ Persistent Memory for faster data handling.

3. Built-In 10GbE Networking: Each node comes with dual 10GbE LAN ports, ensuring high-speed, low-latency connectivity for mission-critical applications.

4. Smart Management and Efficiency: With features like Aspeed AST2500 remote management, cold redundancy, and smart power protection (SCMP) — the server guarantees optimal uptime and power savings.

5. Reliable and Energy-Saving PSU: Equipped with a 2200W 80 PLUS Platinum redundant power supply, providing reliable energy with reduced operational costs.

Perfect for: Data Centers Cloud Infrastructure Big Data & AI Workloads High-Performance Computing (HPC) Environments

For full specifications and more information, visit: Hexadata HD-H261-3C0 Server.

#HexaData #HighDensityServer #EnterpriseSolutions #IntelXeon #DataCenterSolutions #BigData #CloudComputing #ServerTechnology

1 note · View note

symlinks · 3 years ago

Link

Chris Mellor

#Blocks and Files #feedbin.me

0 notes

ddevices · 3 years ago

Text

Advance And Scale With A Genuinely Adaptable Application Stage

Windows Server 2022 is available now, conveying advanced complex security, solid cross variety limits, and a versatile application stage.

Some different option from an iterative update, Microsoft's latest server OS is painstakingly intended to meet your propelling business needs in irrefutably the most capable way.

Likewise, when gotten together with Intel® Xeon® Scalable processors, it's never been less complex to open up containerisation and pass on the applications you truly need at scale.

Compartments give lightweight, isolated conditions to package and run stores of different applications across on-premises, cloud, and edge conditions - all on a comparative OS. This helps you with meeting express area working with necessities and scale different positions on-demand, any spot data is taken care of.

Empower Containerisation And Scale UP

With Windows Server 2022 and Intel® Xeon® Scalable processors, it's more straightforward to empower containerization and immediately convey applications with adaptability enhancements, for example, 48TB of memory. It's likewise quicker than any time in recent memory on account of huge decreases to the Server Core picture size.

Windows Server 2022 conveys prevalent application similarity for Windows holders and empowers predictable organization strategy execution. Furthermore, utilizing Windows Admin Center, containerisation is streamlined by improved tooling.

You can likewise accelerate reaction times among clients and administrations with diminished inertness from Windows and Intel, accomplished by utilizing Direct Server Return (DST) to proficiently coordinate organization traffic. What's more, effectively design the time region of compartments without requiring admittance to the host - a fundamental component for some applications which limit time-delicate information.

Make the most of local area driven holder backing and add new capacities to Azure Kubernetes Service (AKS) and Azure Stack HCI.

Ultrabook, Celeron, Celeron Inside, Core Inside, Intel, Intel Logo, Intel Atom, Intel Atom Inside, Intel Core, Intel Inside, Intel Inside Logo, Intel vPro, Itanium, Itanium Inside, Pentium, Pentium Inside, vPro Inside, Xeon, Xeon Phi, Xeon Inside, and Intel Optane are brand names of Intel Corporation or its auxiliaries in the U.S. or potentially different nations.

Microsoft and Windows are brand names of the Microsoft gathering of organizations.

DIGITAL DEVICES LTD

Long before Apple set an average consumers mindset to replacing their handheld gadgets in two years, Digital Devices Ltd believed in Moore's law that computing will double every two years. With our heritage from the days of IBM Personal Computer XT, our founders have gone through the technology advancements of the 1990s and 2000s realizing that technology is an instrumental part of any business's success. With such a fast pace industry, an IT department can never be equipped with the tools and training needed to maintain their competitive edge. Hence, Digital Devices has put together a team of engineers and vendor partners to keep up with the latest industry trends and recommend clients on various solutions and options available to them. From forming close relationships with networking and storage vendors like Juniper, SolarWinds and VMWare to high-performance computing by HPE or AWS Cloud solutions, Digital Devices Limited offers the latest technology solutions to fit the ever-growing needs of the industry.

Our experts can guide you through the specifications and build cost efficiencies while providing high end, state-of-the-art customer services. We research and analyses market and its current demand and supply chain by offering wide range of bulk supplies of products like AKG C414 XLII, Shireen Cables DC-1021, Shireen Cables DC-2021, Dell p2419h monitor, Dell U2419H, Dell P2719H, Dell P2219H, Lenovo 62A9GAT1UK, LG 65UH5F-H and Complete IT Infrastructure products and services.

0 notes