#gpu shortage

[technicalmaster]

The Severe GPUs Shortage Has Ended – We Now Have a GPU Excess

https://thetechnicalmaster.com/the-severe-gpus-shortage-has-ended

#gpu #gpu nvidia #amd gpu #6000 gpu #graphics card #AMD graphics card #nvidia #nvidia geforce gtx #nvidia geforce rtx 3060 #nvidia geforce now #nvidia geforce rtx 3050 #gpus #gpu shortage #technology #tech news #tech #gaming #gaming news

[mousegirlheart]

Hey do you like yugioh? There's this guy called dark magician. He has drip

I've been playing Yugioh since the og starter sets in the early 2000s. Dark Magician was my first card, been obsessed with him ever since. Been playing exclusively a Dark Magician deck for nearly 20 years ᶜʰʳᶦˢᵗ ᵃᵐ ᶦ ᵍᵉᵗᵗᶦⁿᵍ ᵒˡᵈ

#i certainly hope he does not drip he is positioned directly over my GPU #And I bought that fucker during the gpu shortages because I apparently hate having money

[sagestormhound]

I'm finally done with my exam. I wish I'd study this before building my PC. I now know so much more about them and how it all works.

#Anakin my baby you're perfect the way you are #maybe i could change the GPU purely because i got it during the shortage #maybe i can find a better one now for cheep #but i doubt it #rambles

[nextlevelsposts]

#gaming pc #pc gamer #ps4 #xbox one #pc #gaming #computer #game #gpu #nvidia #intel #intel arc a350m a370m discrete gaming laptop gpus announced intel arc #amd radeon rx 6950 xt 6750 xt 6650 xt faster refresh gpu fsr 2 price india amd #graphic chip price drop shortage end experts claim ethereum gpu supply gpus #amd

[charyou-tree]

My trusty gtx1080 has finally been showing its age. Not that it isn't fast enough, but that its starting to crash frequently unless I underclock it. I've been contemplating building a new PC for the first time in about 8 years, and the chip shortage seems to be tapering off, for all but the highest end consumer chips.

...but wouldn't you know it? I just managed to by an RTX4090! At MRSP no less! (fuck u scalpers!) I even have my wife's approval! I probably won't have a complete build until after the holidays, but its exciting to be putting a new war machine together.

This was all inspired by finding out that Valve forked off a version of Wine they're calling Proton that makes most Steam games work on common linux distros without any real tweaking. I tried it and it worked great out of the box for Deep Rock Galactic.

Steam games were pretty much the last thing tying me to windows, but I can't underclock my gpu (without great effort) in ubuntu and I was crashing every 20 minutes or so at stock clocks. If I'm going to have to actually upgrade instead of plodding along with the hacky quick fix, might as well go big if I'm not going to upgrade again for most of a decade. I tend to use my hardware until it physically falls apart, like that poor macbook I had in highschool that melted its plastic feet off rendering 3d fractal animations at 100% CUP usage for 5 months straight...

#pc building #rtx 4090 #linux #ubuntu

[cruelfeline]

I actually have super nice memories of this Microcenter, specifically during the GPU shortage of 2020. I'd get up at like, 5AM and drive the hour and a half to the store to stand in line before opening, hoping there were 3000 series cards delivered that day.

It was always very funny because it would be a bunch of 20-something year old dudes and me: an early-thirties chick wearing a Hordak shirt and a big, black hooded cloak from the RenFaire.

A line of dudebros and a witch.

They were all very nice, and we had a lovely time.

[dislegomena]

the 216 is behind the times

(Yeah I know. I'm not called janeway216 here. It's a thing. Just go with it.)

I've always built my own PCs, but in the past few years I let my mid-tier 2016 build ossify into a "you're running a what" build. What I had was fine and nothing on the market was an attractive upgrade anyway, especially once Bitcoin mining and silicon shortages cranked the prices on everything into the mesophere.

Enter Cities: Skylines II, which appears to have been optimized for the gaming hardware of 2028. The minimum requirements are ludicrous for a city builder sim, especially considering that Cities: Skylines will run on anything up to and including a Super Nintendo, but I wanted to play so I started gathering parts.

Let me tell you, C:S2 has been out for a month, I still can't play it and I'm about to yeet my entire PC into Jupiter.

Most of my parts are fine, but the big issue since the game actually released has been my GPU: a GTX 970 from 2015. I knew it was going to be a problem! It's ancient! However, I was really hoping my teeny tiny sub-1080p monitors would make up for it.

Nope. It is so bad that it doesn't matter how I tweak the graphics settings, I only have one quality setting: Potato. All changing the settings does is determine whether it looks like trash at 13 FPS or 28 FPS.

Okay, I can fix that, so I bought a GTX 3060 Ti on Black Friday. Problem solved! Except... well. My case is an Antec Three Hundred I bought in 2011. Great case. Solid metal and built like an M1 Abrams. But it's old and the largest GPU it can fit is 279 mm. The 3060 Ti? 286 mm.

🤦‍♀️

Of course now that Black Friday is over everyone's all sold out of GPUs anyway. So at this point my options are either RMA the 3060 Ti I bought and hope a smaller-sized model comes back in stock at something close to list price, or give up and buy a newer, larger case. And let me tell you. If I wanted a new case, I would already have a new case.

And either way, I still can't play Cities: Skylines II yet...

#honestly the game's kinda broken anyway #but it's the principle of the thing #the 216 has thoughts on things

[jenroses]

Building a pc from scratch is basically lego for grownups, but with more swearing and higher stakes.

I built a system from scratch years and years ago, like, mid-oughts? Ish? And it hasn't actually changed all that much despite the end result being staggeringly exponentially faster.

I watched a lot of videos in preparation, hyperfixating on the process for about a month before picking and ordering the parts. Prices are/have been coming down drastically from the pandemic/crypto gpu shortages, and there are some fancy new games out that I want to play.

Because I'd done all that work, when I found out my kid's partner needed to upgrade, I shopped her parts too. To upgrade a system that already has an operating system, SSD, case and plenty of cooling is about a grand, for an Intel I5-12600k (10 core, I think?), a DDR4 motherboard (Z790 IIRC? Maybe B?), a fancy RGB cooler, and 32 gigs of fancy light up RAM. Would have been cheaper without RGB but she wanted it and could afford it.

For a complete system with OS, new monitor, 3T storage, 64gigs of memory and a $400-ish video card, about 2 grand. That's with the i513600kf (14 cores). I think for me it was a RX 6800 graphics card and for her it was a 6750 xt. Either will be very playable for the games we both like.

I won't say the process is easy. But it's very methodical and there are SO many really good engaging videos explaining how to do it.

I was kind of fixated early on on the idea of needing better than an i5 because my current computer is an i7 and Intel's naming system is a bit arcane. But that's not actually how it works. They've been doing generations for years of the i5, i7 and i9 processors, and which generation is more critical than the 5, 7 or 9. 12th and 13th gen processors are going to be much faster than my 6th gen i7 on my laptop, which has four cores. The i5 13600 has 6 process cores and 8 efficiency cores, and fuck if I know what the difference is but the fact of the matter is that few games are going to use more than that and I'm not doing anything fancy enough to need more process cores, and the clock speed is Very Nice. The 12600 has just as many process cores and fewer efficiency cores, but it's also like, just over half the price. If you pick correctly on Newegg you get a couple games with either processor, and if you get the right AMD gpu, you can get starfield with the gpu. Anyway. The markup for having someone else build a PC these days is very steep. There are a lot of corners getting cut. This is not a process for everyone but it really is rewarding.

[tau1tvec]

What do you recommend that’s a good base pc to build off of over time, one that’s cost effective but good enough to run ts3 and ts4 simultaneously but I can add better graphics cards and ssds later on?

I think it depends, it's hard to really recommend any specific one bc, I've only ever used one, and they don't manufacture them anymore. I also got my PC to play Fallout 4, bc my old PC crapped out, and I was over sims at the time. Considering its open world, and all the mods I would likely cram into it, I didn't wanna waste money on just anything, so I did some research on gaming PC's ( which I'd never bought until then ) and ended up getting an Acer Predator for about 1299$ at the time.

When I bought it, it had a 1060 GTX, 500GB SSD, 1TB HD and 16GB RAM, dealt with 6 years of my bs with not an issue.

Now the reason I say it depends is bc, many games can run on anything honestly, a lotta them these days want to get in as many hands as possible, so making them work well on lower end systems, esp laptops and consoles, is the best way to do that, since a lot of gamers honestly couldn't give chicken noodle soup about how great a game looks, just that it doesn't lag. However if you plan to play on high to ultra settings, with mods and cc, esp high texture cc, you're going to have to keep some things in mind.

Processor

Intel i5's are pretty powerful for the cost, but I'd recommend an i7 if you can fit the bill. Replacing it shouldn't be too difficult, so long as you find one that's compatible with your motherboard, and they tend to cost a little less, and be more readily available than GPU's for instance.

GPU

I've seen some mid-high gaming rigs run on a 1660 GTX which I hear is a pretty good card, they also run a bit cheaper than the 20 or 30 series RTX, and honestly... you don't need a 20 or 30 series RTX to play The Sims 3 or 4, it doesn't even have any built-in options to utilize a lotta the innovative features these cards have.

I played The Sims 4 on ultra on my 1060 GTX, and it ran and looked fine. Though should you decide to upgrade, understand it might be quite costly, and also a bit difficult to find considering we're still technically in a chip shortage.

Memory

16GB is pretty standard these days, anything more is for those into heavy multi-tasking, however some games are beginning to suggest 32GB.

SSD

Main drive needs to be a 500GB SSD minimum... 250 will absolutely get you nowhere with how Windows updates gobble that shit up. You'll also be storing all your saves, mods, and cc on this main drive, so honestly if you can, go for the 1TB, you won't regret it, especially since upgrading mine to a 1TB was an absolute nightmare.

You'll likely need a second drive as well, and although it's common a second drive will be a regular ol' hard drive ( HD ), which is fine, you've gotta install your Spotify app somewhere, do absolutely consider getting another 500GB or larger SSD installed later, games these days basically start at 80GB install size easy, this doesn't include updates and dlc added later, and a drive doesn't run well when it's almost full.

Brands

I've had my Acer Predator desktop for roughly 7 years now, and it's an absolute champ... my husband's Acer Predator Helios on the other hand... crapped out like two years in, he only ever played Skyrim, and only ran it on medium-high settings. So when it comes to brands it's kinda... eh, I would just try to avoid anything that's like HP or Dell... they're kinda iffy and difficult to upgrade unless you're willing to drop 2k+ on an Alienware, I hear a lotta pretty good things about Lenovo tho, and MSI, if a laptop is more your thing.

Finally, a lotta straight out the box gaming rigs are outfitted with AMD processors and cards these days, and they've come a long way over the years. They're pretty powerful now, almost equal and at times even better than their Intel or Nvidia counterparts, but can be more cost effective if price is a big concern.

#sorry this is long #lol #asks #anon

[imustbenuts]

oh since im thinking about ai right now

the hardware fueling this technology is serviced by nvidia graphic cards. lots of nvidia graphic cards. all made with rare materials mined from the earth and likely obtained with blood and cheap, massively unsafe labor, fed water and electricity just to make it work

and the CEO of nvidia just gave a speech yesterday in computex in taiwan and he sounds like he suffered a sudden onset of medical issue, just consumed edibles, had his speech fed by an ai, or had greed completely rot his brain, or any one or all of those. as seen in the first 25 seconds of this video

yes, the ceo of nvidia is grifting his own tech company.

nvidia in the past 4 years has earned massively from the sale of graphic cards to tech grifters. if you remember, there was a gpu shortage during covid due to the scalping of graphic cards despite the necessity for many creatives to have one, and this was due to nvidia selling a good chunk of it directly to crypto miners.

now they're selling most of their stock to companies looking at ai. its the same shitty song and dance but worse. creatives and artists just cant catch a fucking break

the sale of graphic cards to gamers has declined massively due to exorbitantly expensive priced cards, and due to how the chips have been hitting a massive wall physically and so cannot be improved as much as the years go by.

and they're excited by this short term windfall and letting greed consume them. meanwhile their newest graphic card (rtx 4060 ti) is at best a redundant, expensive, and unnecessary product

remember nvidia's contribution to this ai bullshit

#ai art #Youtube

[emergingtechnologygroupllc]

Surviving COVID, as a Startup.

Prior to Covid-19, Emerging Technology Group specialized in custom-built, high-end compute engines. The machines were specialized for high-resolution, high-speed graphics applications, high-speed scientific processing, and so forth. The machines addressed a narrow and specialized segment of the computing industry. Marketing consisted of personal networking and identifying special interest customers at more generalized events. The viability of the business required a steady supply of personal connections, chips, and other components such as CPUs, GPUs, memory chips, motherboards, and the like. Covid-19 quarantine measures immediately invalidated the marketing model. The supply of components dwindled to the point where the business could not be sustained.

The shortage of computer components has been well-documented in the news:

As a result of the Covid-19 induced chip shortage, Emerging Technology Group switched its business focus from custom-built equipment and evolved to become a reseller focused on the government and education sectors. This circumvented the immediate chip shortage and these markets have switched to remote work mitigating the Covid-19 impact on Emerging Technology Group.

This required time to build the infrastructure and to re-train. The business was privately funded until the recent stock market crash which closed this avenue of funding.

#solano county #datascience #gpu #artificial intelligence

[influencermagazineuk]

Team Red (AMD) vs. Team Green (NVidia): Who Reigns Supreme in Profits for 2024?

pexels nanadua The battle between AMD and Nvidia for dominance in the graphics processing unit (GPU) market has been a fierce one for decades. Both companies constantly push the boundaries of technology, offering cutting-edge solutions for gamers, professionals, and AI enthusiasts alike. But when it comes to profitability, who stands out in 2024? Let's delve into the financial landscape of these tech titans to see which company is raking in the bigger bucks. Market Share and Growth Trajectory Nvidia currently holds a significant lead in market share, particularly in the high-end discrete GPU market. Jon Peddie Research reported Nvidia holding an impressive 80.2% share in Q2 2023. This dominance translates to substantial revenue, with Nvidia boasting a market capitalization of over $2 trillion as of April 2024. However, AMD is not going down without a fight. They've been steadily gaining ground, especially in the data center market. Analysts predict AMD's data center revenue to experience a significant jump in 2024, reaching $6.5 billion, a 38% year-over-year increase. While Nvidia might hold the current crown in terms of raw market share and revenue, AMD's growth trajectory is nothing to scoff at. Analysts expect AMD's overall revenue to increase by a healthy 21.9% in 2024, reaching $30.5 billion. This impressive growth is fueled by factors like the increasing adoption of their EPYC server CPUs and the growing demand for AI-powered solutions where AMD's products are gaining traction. Diversification and Profitability Profitability isn't just about raw revenue. It's about how efficiently a company uses its resources to generate income. Here, Nvidia takes a clear lead. Their focus on high-end GPUs translates to higher margins compared to AMD. Additionally, Nvidia's dominance in the AI training space, driven by their powerful CUDA software platform, provides another layer of profitability. While AMD is making strides in AI inference, Nvidia's current edge in this lucrative market gives them a significant advantage. However, AMD isn't a one-trick pony. Their diversification across CPU, GPU, and chiplet technologies allows them to cater to a broader market. This, coupled with their focus on improving production efficiency, could lead to a future where their profit margins become more competitive. The Evolving Landscape: New Frontiers and Challenges The landscape of chipmakers is constantly evolving. The global chip shortage that plagued 2021 and 2022 seems to be easing, but new challenges are emerging. The ongoing geopolitical tensions and the potential for a recession could impact consumer spending on electronics, which in turn would affect both AMD and Nvidia. Additionally, the rise of alternative architectures like Intel's Arc GPUs could introduce a new variable into the already competitive market. So, who wins the profitability crown in 2024? It's a close call. Nvidia, with its current market share dominance, high margins, and strong presence in the booming AI training space, holds a significant advantage. However, AMD's impressive growth trajectory, focus on diversification, and potential for improved margins paint a bright future. Ultimately, the answer might depend on your perspective. If you're looking at pure revenue figures in 2024, Nvidia likely edges out AMD. However, if you consider growth potential and future profitability, AMD's trajectory is undeniably impressive. The true victor might be determined by how both companies adapt to the ever-changing technological landscape and navigate the challenges that lie ahead. The battle between AMD and Nvidia goes beyond just profits. It's a rivalry that fuels innovation, pushing both companies to develop ever-more powerful and efficient chipsets. This competition ultimately benefits consumers by offering a wider range of choices and driving down prices in the long run. Whether you're a hardcore gamer, a data scientist, or simply someone who appreciates cutting-edge technology, the continued competition between AMD and Nvidia promises to be an exciting ride for years to come. Read the full article

[hitechno1mobile]

The Growing Power of Mobile Processors: Can They Rival Desktops Now?

The smartphone industry has witnessed phenomenal growth over the past decade. Phones have transformed from simple communication devices to powerful pocket computers, blurring the lines between mobile and desktop computing. A significant contributor to this shift is the relentless advancement in mobile processor technology.

For those considering a career in this thriving sector, there are excellent opportunities available. Institutes like Hitech No1, a leading laptop and mobile repairing institute in Delhi with over 20 years of experience and 3 lakh+ students trained, offer comprehensive mobile repairing courses in Delhi. With a projected shortage of 18 lakh mobile repairing engineers in India, a career in this field can be lucrative, with potential earnings ranging from ₹40,000 to ₹50,000 per month.

Now, let's delve deeper and explore eight key factors that highlight the growing power of mobile processors and their potential to rival desktops:

1. Processing Power:

Mobile processors have undergone a dramatic transformation. Modern flagship SoCs (System-on-Chip) boast multiple cores with clock speeds exceeding 3GHz, rivaling even mid-range desktop CPUs. This processing muscle allows mobiles to handle demanding tasks like video editing, complex gaming, and multitasking with remarkable efficiency.

2. Graphics Performance:

Integrated graphics on mobile processors have come a long way. Technologies like Vulkan and Metal APIs enable them to leverage the hardware efficiently, delivering impressive graphics performance. While high-end desktop GPUs still hold the edge for hardcore gaming, mobile GPUs are more than capable of handling most popular games at decent settings.

3. Improved Memory Management:

LPDDR memory technology has revolutionized memory capabilities in mobile devices. Modern flagship phones come equipped with up to 16GB of LPDDR5 RAM, ensuring smooth multitasking and handling memory-intensive applications effectively. This, coupled with optimized memory management algorithms, allows mobiles to rival desktops in terms of overall system responsiveness.

4. Storage Evolution:

Gone are the days of limited storage on mobile devices. Today, flagship phones boast high-speed UFS (Universal Flash Storage) technology, offering blazing-fast read/write speeds that rival traditional HDDs (Hard Disk Drives) used in desktops. Additionally, the widespread adoption of high-capacity microSD cards provides ample storage space for users with extensive data needs.

5. Battery Efficiency:

Battery life has been a major concern for mobile users, but advancements in processor architecture and power management techniques have significantly improved this aspect. Modern processors are designed to be energy-efficient, allowing flagship phones to deliver a full day's charge or more under moderate usage.

6. Display Technology:

Mobile displays have become stunning marvels of engineering. High-resolution AMOLED and Super AMOLED panels with HDR (High Dynamic Range) support deliver vibrant colors, deep blacks, and exceptional viewing angles, rivaling the visual experience offered by high-quality desktop monitors.

7. Connectivity Options:

Modern mobile processors come equipped with advanced networking capabilities. Flagship phones support cutting-edge technologies like 5G, enabling blazing-fast internet speeds that surpass traditional wired connections on desktops in many scenarios. Additionally, Bluetooth and Wi-Fi connectivity options continue to improve, offering seamless data transfer and device interconnectivity.

8. Software Optimization:

Mobile operating systems have evolved significantly to leverage the capabilities of modern processors effectively. Android and iOS are continuously optimized to handle multitasking, resource management, and application performance with ever-increasing efficiency. This software optimization plays a crucial role in unlocking the true potential of mobile processors.

The mobile processing landscape is constantly evolving. With each generation, mobile processors are closing the gap with their desktop counterparts. While desktops still hold an edge in terms of raw power and upgradability, the convenience, portability, and ever-increasing processing muscle of mobile devices make them a compelling alternative for many tasks. For individuals seeking a career in this dynamic field, institutes like Hitech No1 offer comprehensive mobile repairing course in Delhi, equipping them with the skills to thrive in the ever-growing mobile repair industry.

#The Growing Power of Mobile Processors #Power of Mobile Processors #Power of Mobile Processor #Growing Power of Mobile Processor

[jcmarchi]

How to Not Boil the Oceans with AI

New Post has been published on https://thedigitalinsider.com/how-to-not-boil-the-oceans-with-ai/

How to Not Boil the Oceans with AI

As we navigate the frontier of artificial intelligence, I find myself constantly reflecting on the dual nature of the technology we’re pioneering. AI, in its essence, is not just an assembly of algorithms and datasets; it’s a manifestation of our collective ingenuity, aimed at solving some of the most intricate challenges facing humanity. Yet, as the co-founder and CEO of Lemurian Labs, I’m acutely aware of the responsibility that accompanies our race toward integrating AI into the very fabric of daily life. It compels us to ask: how do we harness AI’s boundless potential without compromising the health of our planet?

Innovation with a Side of Global Warming 

Technological innovation always comes at the expense of side effects that you don’t always account for. In the case of AI today, it requires more energy than other types of computing. The International Energy Agency reported recently that training a single model uses more electricity than 100 US homes consume in an entire year. All that energy comes at a price, not just for developers, but for our planet. Just last year, energy-related CO2 emissions reached an all-time high of 37.4 billion tonnes. AI isn’t slowing down, so we have to ask ourselves – is the energy required to power AI and the resulting implications on our planet worth it? Is AI more important than being able to breathe our own air? I hope we never get to a point where that becomes a reality, but if nothing changes it’s not too far off. 

I’m not alone in my call for more energy efficiency across AI. At the recent Bosch Connected World Conference, Elon Musk noted that with AI we’re “on the edge of probably the biggest technology revolution that has ever existed,” but expressed that we could begin seeing electricity shortages as early as next year. AI’s power consumption isn’t just a tech problem, it’s a global problem. 

Envisioning AI as an Complex System

To solve these inefficiencies we need to look at AI as a complex system with many interconnected and moving parts rather than a standalone technology. This system encompasses everything from the algorithms we write, to the libraries, compilers, runtimes, drivers, hardware we depend on, and the energy required to power all this. By adopting this holistic view, we can identify and address inefficiencies at every level of AI development, paving the way for solutions that are not only technologically advanced but also environmentally responsible. Understanding AI as a network of interconnected systems and processes illuminates the path to innovative solutions that are as efficient as they are effective.

A Universal Software Stack for AI

The current development process of AI is highly fragmented, with each hardware type requiring a specific software stack that only runs on that one device, and many specialized tools and libraries optimized for different problems, the majority of which are largely incompatible. Developers already struggle with programming system-on-chips (SoCs) such as those in edge devices like mobile phones, but soon everything that happened in mobile will happen in the datacenter, and be a hundred times more complicated. Developers will have to stitch together and work their way through an intricate system of many different programming models, libraries to get performance out of their increasingly heterogeneous clusters, much more than they already have to. And that is just going to be for training. For instance, programming and getting performance out of a supercomputer with thousands to tens of thousands of CPUs and GPUs is very time-consuming and requires very specialized knowledge, and even then a lot is left on the table because the current programming model doesn’t scale to this level, resulting in excess energy expenditure, which will only get worse as we continue to scale models. 

Addressing this requires a sort of universal software stack that can address the fragmentation and make it simpler to program and get performance out of increasingly heterogeneous hardware from existing vendors, while also making it easier to get productive on new hardware from new entrants. This would also serve to accelerate innovation in AI and in computer architectures, and increase adoption for AI in a plethora more industries and applications. 

The Demand for Efficient Hardware 

In addition to implementing a universal software stack, it is crucial to consider optimizing the underlying hardware for greater performance and efficiency. Graphics Processing Units (GPUs), originally designed for gaming, despite being immensely powerful and useful, have a lot of sources of inefficiency which become more apparent as we scale them to supercomputer levels in the datacenter. The current indefinite scaling of GPUs leads to amplified development costs, shortages in hardware availability, and a significant increase in CO2 emissions.

Not only are these challenges a massive barrier to entry, but their impact is being felt across the entire industry at large. Because let’s face it – if the world’s largest tech companies are having trouble obtaining enough GPUs and getting enough energy to power their datacenters, there’s no hope for the rest of us. 

A Pivotal Pivot 

At Lemurian Labs, we faced this firsthand. Back in 2018, we were a small AI startup trying to build a foundational model but the sheer cost was unjustifiable. The amount of computing power required alone was enough to drive development costs to a level that was unattainable not just to us as a small startup, but to anyone outside of the world’s largest tech companies. This inspired us to pivot from developing AI to solving the underlying challenges that made it inaccessible. 

We started at the basics developing an entirely new foundational arithmetic to power AI. Called PAL (parallel adaptive logarithm), this innovative number system empowered us to create a processor capable of achieving up to 20 times greater throughput than traditional GPUs on benchmark AI workloads, all while consuming half the power.

Our unwavering commitment to making the lives of AI developers easier while making AI more efficient and accessible has led us to always trying to peel the onion and get a deeper understanding of the problem. From designing ultra-high performance and efficient computer architectures designed to scale from the edge to the datacenter, to creating software stacks that address the challenges of programming single heterogeneous devices to warehouse scale computers. All this serves to enable faster AI deployments at a reduced cost, boosting developer productivity, expediting workloads, and simultaneously enhancing accessibility, fostering innovation, adoption, and equity.

Achieving AI for All 

In order for AI to have a meaningful impact on our world, we need to ensure that we don’t destroy it in the process and that requires fundamentally changing the way it’s developed. The costs and compute required today tip the scale in favor of a large few, creating a massive barrier to innovation and accessibility while dumping massive amounts of CO2 into our atmosphere. By thinking of AI development from the point of view of developers and the planet we can begin to address these underlying inefficiencies to achieve a future of AI that’s accessible to all and environmentally responsible. 

A Personal Reflection and Call to Action for Sustainable AI

Looking ahead, my feelings about the future of AI are a mix of optimism and caution. I’m optimistic about AI’s transformative potential to better our world, yet cautious about the significant responsibility it entails. I envision a future where AI’s direction is determined not solely by our technological advancements but by a steadfast adherence to sustainability, equity, and inclusivity. Leading Lemurian Labs, I’m driven by a vision of AI as a pivotal force for positive change, prioritizing both humanity’s upliftment and environmental preservation. This mission goes beyond creating superior technology; it’s about pioneering innovations that are beneficial, ethically sound, and underscore the importance of thoughtful, scalable solutions that honor our collective aspirations and planetary health.

As we stand on the brink of a new era in AI development, our call to action is unequivocal: we must foster AI in a manner that conscientiously considers our environmental impact and champions the common good. This ethos is the cornerstone of our work at Lemurian Labs, inspiring us to innovate, collaborate, and set a precedent. “Let’s not just build AI for innovation’s sake but innovate for humanity and our planet,” I urge, inviting the global community to join in reshaping AI’s landscape. Together, we can guarantee AI emerges as a beacon of positive transformation, empowering humanity and safeguarding our planet for future generations.

#Accessibility #ai #air #Algorithms #applications #artificial #Artificial Intelligence #atmosphere #barrier #benchmark #billion #CEO #change #chips #clusters #CO2 #collaborate #Collective #Community #Companies #computer #computers #computing #conference #datasets #Developer #developers #development #devices #direction

[tuesday7econlive]

Student name: Chuan Hong Kang（80038700） and Zi Yuan Wang（51891267）

Student ID:80038700 51891267

How the global economy situation and duopoly market affect a PC consumer

As we all know, since the beginning of 2020 Covid-19 spread and ravaged globally and led to a series of negative impacts including inflation unemployment, and shutdown of firms the whole world is having a hard time. In this case, the global shortage of steel production capacity, raw materials for many industrial facilities and electronics, and the accompanying shortage of silicon have had a severe impact on the price of the PC hardware market. Moreover, the price of Bitcoin has skyrocketed, and a large number of gamers or people who want to profit from it have started buying GPUs and profiting from the virtual currency. Generally speaking, the civilian GPU market is a case of duopoly, with NVIDIA and AMD products virtually monopolizing the market, while the former has a higher market share than the latter and has a better fit and adaption for gaming. However, the price of all computer hardware has risen dramatically, especially GPUs, and at the time, I was in the 10th grade, which coincided with the release of Cyberpunk 2077, and I decided to assemble a personal computer because of this game and personal interests. Duopoly is still a kind of monopoly which means the absolute market power and the ability to make the price is divided by 2 into two producers. For the general consumers, we want to more competitive market and more producers who may produce goods or services with lower prices and better quality. Majority of the advanced technology companies have strong barriers which means not all people can participate in the market easily. Due to the global factors and the structure of the market, the price of a brand new RTX 3070 that I bought was six thousand CNY, which was supposed to be three or four thousand CNY. At the same time, the general price of other accessories increased by ten to twenty percent. I have to spend twenty percent more money on a personal computer which is not worth that much. This is my personal experience and I got a better understanding of the truth behind this event after I learned this course. To sum up, all of us are affected by the global economy because everyone is a part of the giant economy even though it is just a trifle like assembling a personal computer and we can make wise choices if we can find out how this market works and economics concepts.

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Data Center GPU Market - Analysis, Size and Forecast 2024-2028

Originally published on Technavio: Data Center GPU Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, Canada, China, UK, Germany - Size and Forecast 2024-2028

**Market Growth Projection**

The Data Center GPU Market is anticipated to witness significant growth, with a projected increase of USD 40.20 billion at a Compound Annual Growth Rate (CAGR) of 32.48% from 2023 to 2028. This growth is fueled by various factors, including the adoption of multi-cloud environments, network upgrades to support 5G, escalating demand for artificial intelligence (AI), and the burgeoning PC gaming and gaming console industries.

**Role of GPUs in Data Centers**

Graphic Processing Units (GPUs) are integral to data centers due to their high parallel processing power, making them ideal for applications such as scientific calculations, machine learning, and big data processing. Their ability to perform complex mathematical operations through parallel processing distinguishes them from Central Processing Units (CPUs).

**Competitive Landscape**

The market analysis encompasses detailed insights into the competitive landscape, featuring 20 prominent companies including Advanced Micro Devices Inc., Intel Corp., NVIDIA Corp., Samsung Electronics Co. Ltd., and Huawei Technologies Co. Ltd. These companies offer a range of data center GPU solutions tailored to diverse business needs.

**Emerging Trends**

Advancements in server technology to support Machine Learning (ML) and Deep Learning (DL) are emerging trends driving market growth. Enterprises increasingly leverage AI and DL models for data analysis, driving demand for servers embedded with GPUs, Field-Programmable Gate Arrays (FPGAs), and Application-Specific Integrated Circuits (ASICs).

**Challenges and Restraints**

High initial costs and lead times for data center construction pose significant challenges to market growth. Data center facilities require substantial investments, and meeting construction timelines and performance requirements can be daunting. Additionally, shortages in server components from suppliers may hinder market growth by delaying server deliveries.

**Market Segmentation**

The market is segmented by deployment, with the on-premises segment anticipated to exhibit significant growth during the forecast period. On-premises data center GPUs offer advantages for applications requiring high performance or access to specialized technologies not available on public clouds.

**Regional Insights**

North America is expected to contribute substantially to market growth, driven by increasing adoption of cloud services, high-performance computing (HPC) systems, and the presence of established data center facilities. Factors such as the rising demand for cloud solutions and HPC systems across sectors like government, BFSI, and healthcare bolster regional market growth.

**Customer Landscape and Market Strategies**

The market report provides insights into the customer landscape, adoption lifecycle, and purchase criteria, aiding companies in developing effective market growth strategies. Key market players employ diverse strategies, including strategic alliances, partnerships, mergers, acquisitions, and product/service launches, to enhance their market presence and offerings.

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**Conclusion**

In conclusion, the data center GPU market is poised for substantial growth driven by technological advancements, increasing demand for AI, and the evolution of cloud computing. Despite challenges such as high construction costs and supply chain disruptions, market players are primed to capitalize on emerging trends and regional opportunities, ensuring continued market expansion and innovation.

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Technavio Research

Jesse Maida

Media & Marketing Executive

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Website: www.technavio.com/