#graphicsprocessingunits

[govindhtech]

GPU Clusters Storage Scaling Issues: SSD & Network Limits

Large-capacity SSD presentations were everywhere at this year’s Future of Memory and Storage 2024 (FMS 2024) conference in Santa Clara, California. A year ago, many consumers felt that 64TB was too big of a capacity. SSD roadmaps for goods coming out in the next few years revealed capacities as high as 128TB and 256TB in several presentations and exhibit booths at FMS 2024. Why the abrupt alteration? Have all of us in the flash industry gone insane following a challenging year financially? What is happening?

An explanation is required

The fast advent of generative AI provides the same rationale for this rapid shift as it does for many other current developments in the IT industry. Within the storage market, there have been rumors that fast, low-cost SSDs will eventually replace HDDs as they become too slow. The problem has been that HDDs are cheap, and resourceful storage software developers are always coming up with innovative ways to squeeze out just enough performance out of them.

That is, until the advent of massive GPU clusters, which devour massive amounts of data for training very quickly. Large language models (LLM) with exponential growth require an increasing amount of data for training. GPU clusters process information faster than conventional CPUs. HDDs are finding it impossible to keep up with this enormous increase, even if users attempt to stripe data across thousands of HDDs. To do it would simply demand too much power and space.

Why not utilize HDDs for large-scale data storage and SSDs close to the GPU for speed? Not only an app, but a workflow is what generative AI is. Data must be ingested, curated, formatted for training, fed repeatedly to GPUs, and checked periodically to prevent restarts. Public LLMs require user data for optimization and fine-tuning, and application-specific data must be quickly accessed for retrieval-augmented generation (RAG) during inferencing. Transferring data across various storage systems is a complicated, costly, and power inefficient process that takes attention away from improving models and making use of preexisting ones.

That’s where inexpensive, high-capacity SSDs come into play. IOPS, or input/output operations per second, is a common metric used to assess SSD performance in compute systems. The throughput per capacity (MB/s / TB) is a measure of device performance for storage systems. The system requirement for big GPU training clusters can reach up to 100 MB/s of bandwidth per terabyte of store capacity. These massive storage systems require system capacities ranging from petabytes to exabytes, which means hundreds to tens of thousands of separate drives are needed to store the text, photos, and videos for multimodal models.

With bandwidths up to 50 times higher than HDDs, SSDs allow for the same system throughput to be achieved with fewer SDDs than with many HDDs. Because of their lesser quantity, they must have a larger capacity than HDDs in order to meet system capacity needs. To what extent is it bigger?

That is contingent upon network bandwidth and performance needs. Although ultrafast networks are typically used to connect these storage devices to GPU clusters, the combined bandwidth of those networks is still far less than that of the SSDs. Capabilities up to 64TB are frequently the limit for the greatest GPU clusters. When SSDs with capacities of 128TB or even 256TB are offered for systems or smaller clusters with lower performance requirements, some users wish to expand those capabilities up.

SSDs in networked systems consume a great deal less power than traditional computer programs since they don’t run at full speed. Furthermore, in comparison to conventional mainstream computing SSDs, design concessions are made to lower costs because speed and high write cycle support are not critical.

What is a GPU cluster?

A GPU cluster is an assembly of several Graphics Processing Units (GPUs) connected to each other so as to function as a single computing unit. These clusters are made to tackle challenging computational tasks like deep learning, artificial intelligence (AI), large-scale data analysis, and scientific simulations that call for a lot of parallel processing capacity. GPU clusters are frequently utilized in data centers, research facilities, and other enterprises that need large amounts of computational power for jobs that are larger than what can be handled by a single GPU.

SSDs and HDDs

Here’s the main explanation

Because of this, the storage systems are easier to manage when using all SSDs as opposed to a mix of SSDs and HDDs. They also have fewer drives and storage servers, lower energy consumption, fewer racks, higher reliability, longer useful lifetimes, better latency characteristics, and less idle time on GPU clusters waiting for data.

Now, where does it go?

Large-capacity, reasonably priced SSDs are becoming the preferred storage solution for large GPU clusters and GPU-as-a-service cloud providers. These initial uses demonstrate how the SSD’s benefits over the HDD in terms of performance, power, and capacity justify its higher price. Over the next few years, it is expected that other high-performance use cases where HDDs are slower in MB/s / TB will switch to SSDs. Although it’s fantastic to be less expensive, idling CPUs, GPUs, and other accelerators is costly in terms of power and system costs if customers are unable to fulfill their performance requirements.

We’ve been familiar with the storage and memory hierarchy for a long time; we’ve been adding new technologies to it all the time and changing the locations of the pyramid’s blocks. In response to the growing need for this new class of SSDs that balances cost, power, and performance for storage applications needing huge capacities, a Micron has now added capacity SSDs as a new brick to the pyramid.

Read more on govindhtech.com

[usnewsper-business]

NVIDIA's AI Technology Fuels Growth in Gaming and Robotics, Boosting Stock Price #AIandcomputedemand #AItechnology. #AmazonWebServices #autonomousdriving #AWSpartnership #cloudcomputingmarket #earningsgrowth #GPUsales #graphicsprocessingunits #MellanoxTechnologiesacquisition #NVDA #nvidia #pricetoearningsratio #robotics #stockprice

[cebozcom]

Intel Boosts Gaming Performance: A Game-Changer for Intel Core Ultra Processors | CeBoz.com

Intel's latest driver update significantly boosts gaming performance for Intel Core Ultra processors with integrated Arc GPUs. Learn about the improvements and game-specific enhancements.

[sifytech]

Why AGI, superintelligence fears for AI are unfounded

It is easy to say AI will destroy the world but hard to listen patiently and understand why it will never happen writes Satyen K. Bordoloi. Read More. https://www.sify.com/ai-analytics/why-agi-superintelligence-fears-for-ai-are-unfounded/

[trendprospector]

Can Nvidia's Growth and Expansion Cement its Tech Industry Leadership?

Nvidia Corporation, founded in 1993 by Jen-Hsun Huang, Curtis Priem, and Chris Malachowsky, derives its name from the words "innovator" and "video." The company is headquartered in Santa Clara, California.

Market Value As of March 8, 2023, Nvidia boasts a market capitalization of $680.8 billion, making it the 10th most valuable publicly traded company in the United States. The company has experienced significant market capitalization growth in recent years, driven by the increasing demand for its products. Product Line Nvidia's diverse product line includes the following: GeForce GPUs: These graphics processing units are widely used for gaming and high-performance computing purposes. With a massive global user base, GeForce GPUs have established themselves as the leading GPUs in the market. Quadro GPUs: Designed for professional users like engineers and architects, Quadro GPUs find application in computer-aided design (CAD), computer-aided engineering (CAE), and visual effects (VFX), among other fields. Tesla GPUs: Renowned for their power and performance, Tesla GPUs are specifically tailored for AI and machine learning applications. Many leading AI and machine learning companies rely on Tesla GPUs for their computational needs. DRIVE PX Family: This family of systems-on-a-chip (SoCs) caters to self-driving cars and other autonomous vehicles. DRIVE PX SoCs enable the processing of data from cameras, radar, and lidar sensors, empowering self-driving cars to navigate their surroundings. Stock Market Position Nvidia's stock is listed on the NASDAQ stock exchange under the ticker symbol "NVDA." Demonstrating exceptional growth, Nvidia's stock price has outperformed the broader market, having surged more than 500% over the past 5 years. Market Capitalization and Stock Price Nvidia's market capitalization represents the total value of its outstanding shares. It is calculated by multiplying the number of outstanding shares by the prevailing stock price. As of March 8, 2023, Nvidia's market capitalization stands at $680.8 billion. The stock price refers to the current trading price of Nvidia shares on the stock market. It is subject to continuous fluctuations based on supply and demand dynamics. As of March 8, 2023, Nvidia's stock price is $234.92. Here are few products you may want to try of Nvidia

Let's delve into Nvidia's financial statistics for the past 5 years: - Revenue: From $2.6 billion in 2018, Nvidia's revenue has soared to $26.9 billion in 2022. - Earnings per share: Nvidia's earnings per share climbed from $0.42 in 2018 to $3.06 in 2022. - Free cash flow: Over the same period, Nvidia witnessed substantial growth in free cash flow, from $1.1 billion in 2018 to $9.3 billion in 2022. These impressive financial figures highlight Nvidia's remarkable revenue growth, anticipated continued expansion, and an upward trajectory for earnings per share and free cash flow in the years ahead. Financial Forecast for the Next 5 Years Nvidia's financial forecast for the upcoming 5 years is highly optimistic. The company expects a compound annual growth rate (CAGR) of 15% for revenue and 20% for earnings per share. Apart from its core GPU business, Nvidia is actively expanding into other domains such as cloud computing and autonomous vehicles. Nvidia's cloud computing segment is witnessing rapid growth, with partnerships established with major cloud providers like Amazon Web Services (AWS) and Microsoft Azure. In the autonomous vehicle sector, Nvidia is forging partnerships with leading automakers such as BMW and Toyota, contributing to the rapid expansion of its autonomous vehicle business. Given its positioning, Nvidia is a company to closely monitor in the coming years. The company's continued growth, strategic partnerships, and expanding product portfolio strengthen its position as a major player in the tech industry. Overall, Nvidia, a prominent technology company, is poised for significant growth in the foreseeable future. With its wide range of products finding applications in various industries, Nvidia's market share continues to expand. Furthermore, the company's stock price is anticipated to experience continued growth. Read the full article

[biglisbonnews]

Wall Street cares less about Nvidia's earnings and more about its future Nvidia’s revenue is poised to fall again when it reports fourth-quarter earnings tomorrow (Feb. 22), but Wall Street won’t mind.Read more... https://qz.com/wall-street-cares-less-about-nvidias-earnings-and-more-1850139243

[paperplns]

The Palit RTX 4090 GameRock OC is a real beaut. #nvidia #palit #geforce #RTX #RTX4090 #graphicscard #GPU #graphicsprocessingunit #pcmr #pcbuild #pcbuilding #pcmasterrace #RGB #RGBlighting #computers #gamingpc #bestofthebest #mobilephotography #phonephotography #fuseivazuipozai #instacraiova https://www.instagram.com/p/CnX3MdqDkSu/?igshid=NGJjMDIxMWI=

[lovelypol]

Powering Productivity: The Versatility of Workstations

Workstations stand at the forefront of productivity and innovation, providing professionals across various industries with the computational prowess and specialized tools needed to tackle complex tasks and unleash their creativity.

Equipped with advanced processors, high-resolution displays, and cutting-edge graphics cards, workstations offer unparalleled performance for demanding applications such as graphic design, engineering simulations, and video editing. These powerhouse machines are meticulously engineered to handle intensive workloads with precision and speed, enabling users to multitask seamlessly and deliver superior results. Moreover, workstations boast features like ECC memory, professional-grade GPUs, and ISV-certified software support, ensuring stability, reliability, and compatibility for mission-critical workflows. Whether in design studios, research laboratories, or financial institutions, workstations empower professionals to push the boundaries of innovation and achieve breakthroughs in their respective fields. As organizations strive for operational excellence and competitive advantage, workstations emerge as indispensable tools for maximizing productivity, fostering creativity, and driving business success in the digital age. #Workstations #Productivity #Innovation #ProfessionalWorkflows #Technology #Creativity #BusinessSuccess #HighPerformanceComputing #DigitalTransformation #GraphicsProcessingUnit #MissionCritical #Efficiency #ISVCertification #Precision #Reliability #SpecializedTools

[cryptoknowmics]

✅Ethereum Community Calls Out Programmatic Proof of Work Concept ✅

 Read Out More 👉 https://www.cryptoknowmics.com/news/ethereum-community-calls-out-programmatic-proof-of-work-concept?utm_source=tumblr&utm_medium=Sakshi&utm_campaign=Promotion

[usnewsper-business]

Revolutionary Stocks: Tesla, Amazon, Moderna, BioNTech, Shopify, NVIDIA - Unleashing the Future! #amazon #BioNTech #COVID19vaccine #ecommercedominance #electricvehiclemarket #graphicsprocessingunits #messengerRNAtechnology #ModernaTherapeutics #nvidia #shopify #stockmarketgrowthpotential #Tesla

[sophiareddy123]

The Graphics Processing Unit (GPU) Market is expected to register a CAGR of approximately 13% over the forecast period (2021 - 2026).  The growing application of GPU in mobile devices, such as smartphones and tablets, is expected to augment the market growth over the forecast period.

Connect with Mordor Intelligence, your trusted market intelligence adviser. Follow us for the latest industry-specific recent developments - https://bit.ly/3vJhe9e

[computermanit]

The most powerful upgrade for gaming performance is a new graphics card (GPU). It will really transform your gaming experience in a meaningful way, as games will run smoother and look a lot better. However, in many cases it’s also the most expensive upgrade option. Make sure your new graphics card has the latest drivers installed as this can make a big performance difference. Also, take note that some graphics cards will require a new power supply for your computer, so it can handle the power demands.

[1010computers]

In a TV you want more pixels, in a computer you want a better graphics card! When you want a recommendation on upgrading your device's graphics card for better quality or to add more monitors to your computer, #Think1010 There are a number of reasons to upgrade or add a dedicated graphics cards. 1) You can add simply to have a better viewing experience so your display is more radiant like Apple devices. 2) You can add to allow the display of specialized applications such as Adobe photoshop and illustrator, to give you a better view of your work in real time. 3) You can add to replace your current integrated card in the event it starts to malfunction. 4) You can add a graphics card to give the device increased options like dual or triple-monitor display which is becoming more popular in the workplace and work from home environments. Whatever your reason, your favorite IT repair center can recommend and install the best card(s) from your needs. Call today for more information! #1010ComputersMCD #1010Computers #ComputerRepair #graphicscard #graphicsprocessingunit #gpu #dedicatedgraphics #dedicatedgpu #dualmonitors #triplemonitor #evga #geforce #geforcertx #2060super #videocard #gddr6 #precisionx1 #nvidia #evgagaming #gamingpc #gamingcomputers #ComputerBuild #mcdonoughga #atlantaga #PCRepair #locustgrovega #hamptonga #stockbridgega #griffinga (at 1010Computers, LLC.) https://www.instagram.com/p/B5B9Dq7A7de/?igshid=strcxw28hifq

[cryptonews94]

To the surprise of Nvidia’s executives, demand from the cryptocurrency market has been stronger than expected. So strong has this demand been that it may have helped boost the company’s Q4 2018 revenues above the numbers posted for Q3 2018. Earnings and cryptos While the Nasdaq, which is where Nvidia is listed, slid to near correction territory on Thursday, Nvidia’s strong earnings report pushed its stock higher. On the doom-and-gloom trading day that was Thursday, investors cheered Nvidia, and caused its stock to rally higher more than 10%. Nvidia posted record quarterly revenue of $2.91 billion, up 34% from a year ago. It also recorded full-year revenue of $9.71 billion, up 41% from a year ago. The increased crypto demand is thought to have boosted the growth in sales for the company’s Pascal-generation graphics processing units (GPUs) for gaming #pascal #gpu #mining #tothemoon #nvidia #graphics #card #graphicsprocessingunit #gaming #gpumining #nvidiamining #cryptocurrency #crypto #cryptonews94 #coin #bitcoin #altcoin #cryptomining #profit #strong #gtx #titan

[cricmain]

West Indies women cricket team given a dinner by IGP Sindh Kaleem Imam #WestIndiesCricketTeam #Pakistan #IGP #GraphicsProcessingUnit #Imamah #Cricket #Sindh #InspectorGeneral #ARYNews #Happiness #Captain #Karachi #SouthendonSea #ODI #OneDayInternational #Dubai KARACHI: Inspector General of Sindh Police (IGP) Syed Kaleem Imam, on Saturday, gave a dinner in the honour of women cricket team of West Indies, here at the Central Police Office (CPO), ARY News reported. https://cricmain.com/2019/02/02/west-indies-women-cricket-team-given-a-dinner-by-igp-sindh-kaleem-imam/