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Brands that communicate with their viewers using a 2-way communicating that engages and excites the potential clientele with no shying of creating appreciative content and adopt digital technology are the one time who will live in 2023!

We are living in a age where “Digital” and “Marketing” are all terminologies, which are shifting its character & significance, each and every moment. Users that manufacturers want to interact with have another set of expectations and are paying attention just to manufacturers that are communicating content which they would like to listen to.

Chatbots & AI are Here to Redefine the Future of Communications

When some manufacturers continue to be stuck into older school lead generation tasks, some manufacturers have already begun building chatbots and allowing users finish their buys, feedbacks and a number of different facets within the social networking platform. But some manufacturers nevertheless prefer making users finish their purchase through the brand’s propriety digital platforms. In 2023, large brands will need to let users to complete transactions on almost any electronic media platform and earn user travel more comfortable & participating.

A chatbot isn’t necessarily a very difficult & costly tool to construct. If developed efficiently and economically, chatbots could be produced with low costs that could enable SMEs & Start-ups to get their very own tool and become a potent competition for their monster rivals.

Video Content Will remain to The Best, With Extra Avenues of Engagement

Videos like a content format which will accelerate to the very top, since users have a little bit of time they wish to spare, thus give preferences to some clip instead of a blog article. But in 2023, against pricey TVCs, that demand a humongous price of manufacturing, air time and frequently manufacturer endorsements, what might matter is the way engaging and intriguing a movie is.

The Truth Zone

2023 is going to be a race between the manufacturers which could excite and relaxation their TG. Creating highly engaging video content with different video formats could be a somewhat costly affair. However, a daring move with a tactical framework, will quicken brand awareness and remember over the minds of their target market.

Voice Advertising is the Next Big THING

India may be a bit behind in accepting & utilizing Voice Assistance, but that won’t be the situation for quite a very long moment. Recall when a significant chunk of lookup questions changed from desktop to mobile?

Search Queries

While large manufacturers will still chase star endorsements, SMEs and Start-ups can concentrate on getting actual (and real-like) testimonials across digital platforms. Tasks like requesting consumers to review a review program or sparking conversations on forums such as Facebook classes, Quora, Reddit, won’t just create visibility for manufacturers but also win a confidence variable inside the minds of their potential TG.

Also read:

Top 6 Tips to Stay Focused on Your Financial Goals

The Growth of Co-Existence

The ever-growing Digital concessions have penetrated the Indian market by employing money back, cross-selling and enabled consumers to be part of their electronic payment ecosystem to this degree that Conventional Payment Systems needed to hop-on, provide their customers a similar enticing worth to sustain themselves. However, while Digital Payment suppliers climbed, they guaranteed their partnering brands get equivalent reliability, accessibility to information and lots of other perks. Many SMEs benefited with these win-win partnerships and this tendency is flourishing and must be researched also.

Taking it , however Digitally How can with a Marketing Consultant Assist?

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The Generative Ai Revolution: A Glimpse Into The Future Of Work

The explosion of interest in artificial intelligence has drawn attention not only to the astonishing capacity of algorithms to mimic humans but to the reality that these algorithms could displace many humans in their jobs. The economic and societal consequences could be nothing short of dramatic.

The route to this economic transformation is through the workplace. A widely circulated Goldman Sachs study anticipates that about two-thirds of current occupations over the next decade could be affected, and a quarter to a half of the work people do now could be taken over by an algorithm. Up to 300 million jobs worldwide could be affected. The consulting firm McKinsey released its own study predicting an AI-powered boost of US$4.4 trillion to the global economy every year.

The implications of such gigantic numbers are sobering, but how reliable are these predictions?

I lead a research program called Digital Planet that studies the impact of digital technologies on lives and livelihoods around the world and how this impact changes over time. A look at how previous waves of such digital technologies as personal computers and the internet affected workers offers some insight into AI’s potential impact in the years to come. But if the history of the future of work is any guide, we should be prepared for some surprises.

The IT revolution and the productivity paradox

A key metric for tracking the consequences of technology on the economy is growth in worker productivity – defined as how much output of work an employee can generate per hour. This seemingly dry statistic matters to every working individual because it ties directly to how much a worker can expect to earn for every hour of work. Said another way, higher productivity is expected to lead to higher wages.

The Goldman Sachs study predicts productivity will grow by 1.5 percent per year because of the adoption of generative AI alone, which would be nearly double the rate from 2010 and 2023. McKinsey is even more aggressive, saying this technology and other forms of automation will usher in the “next productivity frontier,” pushing it as high as 3.3 percent a year by 2040.

That sort of productivity boost, which would approach rates of previous years, would be welcomed by both economists and, in theory, workers as well.

For a while, it seemed that the optimists would be vindicated. In the second half of the 1990s, around the time the World Wide Web emerged, productivity growth in the U.S. doubled, from 1.5 percent per year in the first half of that decade to 3 percent in the second. Again, there were disagreements about what was really going on, further muddying the waters as to whether the paradox had been resolved. Some argued that, indeed, the investments in digital technologies were finally paying off, while an alternative view was that managerial and technological innovations in a few key industries were the main drivers.

Regardless of the explanation, just as mysteriously as it began, that late 1990s surge was short-lived. So despite massive corporate investment in computers and the internet – changes that transformed the workplace – how much the economy and workers’ wages benefited from technology remained uncertain.

Early 2000s: New slump, new hype, new hopes

While the start of the 21st century coincided with the bursting of the so-called dot-com bubble, the year 2007 was marked by the arrival of another technology revolution: the Apple iPhone, which consumers bought by the millions and which companies deployed in countless ways. Yet labor productivity growth started stalling again in the mid-2000s, ticking up briefly in 2009 during the Great Recession, only to return to a slump from 2010 to 2023.

But before we could get there and gauge how these new technologies would ripple through the workplace, a new surprise hit: the COVID-19 pandemic.

The pandemic productivity push – then bust

Devastating as the pandemic was, worker productivity surged after it began in 2023; output per hour worked globally hit 4.9 percent, the highest recorded since data has been available.

Much of this steep rise was facilitated by technology: larger knowledge-intensive companies – inherently the more productive ones – switched to remote work, maintaining continuity through digital technologies such as videoconferencing and communications technologies such as Slack, and saving on commuting time and focusing on well-being.

While it was clear digital technologies helped boost productivity of knowledge workers, there was an accelerated shift to greater automation in many other sectors, as workers had to remain home for their own safety and comply with lockdowns. Companies in industries ranging from meat processing to operations in restaurants, retail, and hospitality invested in automation, such as robots and automated order-processing and customer service, which helped boost their productivity.

But then there was yet another turn in the journey along the technology landscape.

The 2023-2023 surge in investments in the tech sector collapsed, as did the hype about autonomous vehicles and pizza-making robots. Other frothy promises, such as the metaverse’s revolutionizing remote work or training, also seemed to fade into the background.

In parallel, with little warning, “generative AI” burst onto the scene, with an even more direct potential to enhance productivity while affecting jobs – at massive scale. The hype cycle around new technology restarted.

Looking ahead: Social factors on technology’s arc

Given the number of plot twists thus far, what might we expect from here on out? Here are four issues for consideration.

First, the future of work is about more than just raw numbers of workers, the technical tools they use, or the work they do; one should consider how AI affects factors such as workplace diversity and social inequities, which in turn have a profound impact on economic opportunity and workplace culture.

For example, while the broad shift toward remote work could help promote diversity with more flexible hiring, I see the increasing use of AI as likely to have the opposite effect. Black and Hispanic workers are overrepresented in the 30 occupations with the highest exposure to automation and underrepresented in the 30 occupations with the lowest exposure. While AI might help workers get more done in less time, and this increased productivity could increase wages of those employed, it could lead to a severe loss of wages for those whose jobs are displaced. A 2023 paper found that wage inequality tended to increase the most in countries in which companies already relied a lot on robots and that were quick to adopt the latest robotic technologies.

Second, as the post-COVID-19 workplace seeks a balance between in-person and remote working, the effects on productivity – and opinions on the subject – will remain uncertain and fluid. A 2023 study showed improved efficiencies for remote work as companies and employees grew more comfortable with work-from-home arrangements, but according to a separate 2023 study, managers and employees disagree about the impact: The former believe that remote working reduces productivity, while employees believe the opposite.

Third, society’s reaction to the spread of generative AI could greatly affect its course and ultimate impact. Analyses suggest that generative AI can boost worker productivity on specific jobs – for example, one 2023 study found the staggered introduction of a generative AI-based conversational assistant increased productivity of customer service personnel by 14 percent. Yet there are already growing calls to consider generative AI’s most severe risks and to take them seriously. On top of that, recognition of the astronomical computing and environmental costs of generative AI could limit its development and use.

Finally, given how wrong economists and other experts have been in the past, it is safe to say that many of today’s predictions about AI technology’s impact on work and worker productivity will prove to be wrong as well. Numbers such as 300 million jobs affected or $4.4 trillion annual boosts to the global economy are eye-catching, yet I think people tend to give them greater credibility than warranted.

Also, “jobs affected” does not mean jobs lost; it could mean jobs augmented or even a transition to new jobs. It is best to use the analyses, such as Goldman’s or McKinsey’s, to spark our imaginations about the plausible scenarios about the future of work and of workers. It’s better, in my view, to then proactively brainstorm the many factors that could affect which one actually comes to pass, look for early warning signs and prepare accordingly.

The history of the future of work has been full of surprises; don’t be shocked if tomorrow’s technologies are equally confounding.

This article is republished from The Conversation under a Creative Commons license. Read the original article written by Bhaskar Chakravorti, Dean of Global Business, The Fletcher School, Tufts University.

The Next ‘Wave’ In Communication?

SAN FRANCISCO — Like a slow-moving tsunami, the impact of Google’s Wave announcement here Wednesday might not be felt for some time, but it has the potential to disrupt the traditional Web communications landscape.

Google’s co-founder and president Sergey Brin is bullish on the potential of the communication/collaboration system unveiled here at the company’s Google I/O conference. Wave is a browser-based, online communications environment that combines features of e-mail, instant messaging and collaboration software. It’s currently in a limited private beta for developers.

“There aren’t many companies that can completely rethink how their products should work. I’m very excited,” said Brin.

In a press conference following the rollout, Wave’s developers and Brin and vice president of engineering Vic Gundotra, fielded questions on how the system was created as well as technical (e.g. it will offer offline access from the browser) and competitive issues. On the latter point, Gundotra was asked how Wave stacked up versus systems like Microsoft’s Sharepoint.

“This thing has greater breadth because of its real-time nature and openness, unlike Sharepoint, and there’s a federation model and the entire stack is built in the Web,” he said.

However, Gundotra and others repeatedly emphasized Wave is at an early, pre-release stage and no decisions have been made about issues like marketing, distribution or positioning. While many of Wave’s features can legitimately be described as cool, widespread adoption depends on convincing users to move away from e-mail and other traditional communication platforms.

“When you talk about the younger generation, that’s what gives a system like Wave hope,” Greg Sterling, analyst with Search Engine Land, told chúng tôi “They’re already using social networks as a replacement for e-mail and when you look at what’s happening with Twitter, the trend is toward the kind of real-time communications systems like Wave offers.”

In some ways, Wave is more real-time, or instant, than instant messaging. You can have multiple instant message sessions from within Wave and see what the sender is typing before they’re finished. Ironically, the early text-based Unix Talk of decades ago worked this way, noted Wave’s Lars Rasmussen. “It’s more interactive, you’re not waiting,” he said.

How Wave came to be

Wave’s development path, if not unique to Google, certainly highlights the flexible outlook of its top management.

When Rasmussen and his brother Jens pitched the idea to Brin and co-founder Larry Page, they didn’t provide much detail. “The use case? There was nothing,” laughed Brin. “They just said they were going to build this cool thing that will change communication.”

The Rasumussens had leverage, though: a track record following the successful launch of an earlier creation that became Google Maps.

“When Google Maps came out, it was on the edge of browser capability, with the ability to drag maps around,” recalled Brin. “What we’re seeing in Wave today is on the edge of browser capability, they’ve pushed the limits. I think you’ll see a level of interaction you haven’t seen previously in the browser.”

Lars Rasmussen said they were inspired to do Wave to simplify communication. “With today’s tools if you want live interaction you need an instant messaging client and a document editor with rich format capability. But we prefer a world where everything’s available to you right while you’re doing live communications.

The Potential Of 5G Technology In The Future Of Mobile Gaming

Faster and More Reliable Connections

One of the most significant benefits of 5G technology for mobile gaming is its potential to offer faster and more reliable connections. With 5G technology, mobile gamers will be able to enjoy smoother gameplay and faster download speeds, which is particularly important for online multiplayer games. Additionally, 5G technology is expected to reduce latency, which will further enhance the gaming experience.

5G Technology Benefits for Mobile Gaming

Faster download speeds

Smoother gameplay

Reduced latency

Moreover, 5G technology is expected to provide a more reliable connection than previous generations of mobile technology. This is because 5G uses multiple small cells to provide a stronger and more consistent signal. As a result, mobile gamers will experience fewer interruptions and disruptions to their gameplay.

Enhanced Gaming Features

New Gaming Features Enabled by 5G Technology

Augmented reality (AR) and virtual reality (VR) gaming experiences

More sophisticated graphics and visual effects

More realistic sound effects

Moreover, 5G technology can enable mobile gamers to access games and the best Ontario Online Casinos more quickly and efficiently. This is because 5G networks are expected to offer faster download speeds and lower latency than previous generations of mobile technology. As a result, mobile gamers will be able to download and start playing games, more quickly than ever before.

With the potential for more stable connections, 5G technology may also improve online multiplayer gaming experiences. This means that mobile gamers can play games with friends and other players from around the world without worrying about lag or other connectivity issues.

Increased Access to Online Multiplayer

Online multiplayer gaming has become increasingly popular in recent years, and 5G technology is expected to make it even more accessible. With 5G technology, mobile gamers will be able to enjoy more seamless online multiplayer gaming experiences, which will create more social and competitive gaming experiences.

Benefits of 5G Technology for Online Multiplayer Gaming

More seamless online multiplayer gaming experiences

More social and competitive gaming experiences

Challenges and Limitations

While 5G technology offers many potential benefits for mobile gaming, there are also several challenges and limitations that must be considered. One of the biggest challenges is the cost of 5G technology. The infrastructure required to support 5G networks is expensive, and this cost may be passed on to consumers through higher mobile data plan prices. Additionally, not all regions may have access to 5G networks, which could limit the availability of 5G-enabled mobile gaming experiences.

Challenges and Limitations of 5G Technology for Mobile Gaming

Cost of 5G infrastructure and potential increase in mobile data plan prices

Limited availability of 5G networks in certain regions

Another potential limitation of 5G technology for mobile gaming is that not all mobile devices will be able to support it. While many newer devices are 5G-enabled, older devices may not be compatible. This could create a divide between those who can and cannot access 5G-enabled mobile gaming experiences.

Despite these challenges and limitations, the potential benefits of 5G technology for mobile gaming are significant, and the industry is expected to continue to evolve as 5G technology becomes more widespread.


In conclusion, 5G technology has the potential to revolutionize the future of mobile gaming. With faster and more reliable connections, enhanced gaming features, and increased access to online multiplayer, 5G technology offers many potential benefits for mobile gamers and game developers alike. However, it is important to consider the challenges and limitations of 5G technology, such as the cost and availability of 5G infrastructure and the compatibility of devices.

Future Of The Car: The Electric

In the past three years, the thought of companies like Chevrolet and Nissan selling lithium-ion-powered cars has gone from laughable to old news. Late this year, the plug-in Chevy Volt and pure-electric Nissan Leaf arrive. Carmakers from Ford to Toyota will follow in 2011 and 2012 with new electrified models of their own. In the beginning, the electric-car revolution probably won’t seem so revolutionary: a few thousand cars here and there. As long as automakers and battery companies keep pushing technology forward, however—by scaling up production and developing more-powerful ways to store electricity and power a car with it—the future for cars that plug into the wall will continue to brighten. Here’s where this emerging industry stands today.

How Electric Car Batteries are Built

Based on the process used by the American lithium-ion company EnerDel

How Electric-Car Batteries Are Built

Lithium-ion batteries—the dominant technology in forthcoming electric cars—begin when active battery ingredients are combined to form an electrode slurry. A liquid solvent, electrode powder (for the negative electrode, a form of carbon; for the positive, a form of lithium-containing metal oxide or phosphate) and a chemical binder are blended into a paste in what look like industrial pizza-dough mixers.

The coater, a machine reminiscent of a printing press, paints the electrode slurry onto long sheets of metal foil (copper for the negative, aluminum for the positive).

The freshly coated sheets pass through an oven for curing at 200ºF. The oven can be a bottleneck; its size and speed determine the rate of production.

To make rectangular, “prismatic” batteries, machines chop the long reels of electrode material into paperback-size pieces, which are then compressed, brushed, and vacuumed.

With a piece of porous separator material (it looks like white trash-bag plastic) between them, the positive and negative electrodes are sandwiched together into stacks. The separator prevents short-circuiting while still allowing the electrodes to exchange ions. The stacks go into plastic pouches that are then filled with liquid electrolyte and vacuum-sealed shut. The result is a cell, the building block of a battery.

After pre-charging (just enough juice to start the chemical reaction), the cell is opened, vented, and resealed. Next the cells are charged to 60 percent, then aged for 14 days.

Cells are bundled together (along with cooling and heating mechanisms, the voltage-monitoring circuitry, and other control systems) to form modules. Modules are then bundled together in a case and wired with additional monitoring circuitry to form the final battery pack, the box that powers a car.

How Electric Car Batteries are Built Continued

The Rust-Belt Battery Boom The Department of Energy spent $2.4 billion last year to launch an American EV-battery industry. These are the biggest winners

Through its partnership with the French battery company Saft, Johnson Controls builds lithium-ion batteries for Mercedes, BMW, Ford and others. A $299.2-million DOE grant goes toward a new factory in Holland, Michigan.

A $249.1-million grant will help the Boston-area company build a cell factory near Detroit, from which it hopes to supply GM, Chrysler and others.

The Dow Chemical joint venture banked $161 million for a new Michigan lithium-ion factory.

A $151.4-million grant will help build a Michigan factory to supply batteries for the Chevy Volt.

EnerDel, a supplier for Volvo and Think, is using its $118.5-million share to build a third EV-battery factory in Indianapolis.

Asia’s Advantage: Battery-Building Dominance

Emerging Electric-Car Hotspots: The East

The Chinese government has a goal: rule the global electric-car market by mid-decade. Of China’s 47 car companies, the Shenzhen-based BYD, which says it will begin selling its e6 EV in the U.S. this year, gets the most buzz. Fresh off a $230-million investment by Warren Buffett, BYD wants to surpass Toyota as the world’s largest car company by 2025, and it has an army of 30,000 workers living in high-rise dorms on its four-square-mile campus to make it happen.

Japanese companies have dominated lithium-ion manufacturing since Sony first commercialized the technology in 1991. Those companies have joined Mitsubishi, Nissan and Toyota in the scramble for a place in the new electric-car industry.

An American arm of the Korean company LG Chem will build batteries for the Chevy Volt.

America’s Advantage: New Ideas, Big Gamblers

Emerging Electric-Car Hotspots: The U.S.

An intellectual hub for the American electric-car movement, the Bay Area is home to Tesla Motors and various electric-car infrastructure companies. San Francisco is already installing charging stations for the early-adopter market. Stanford University, the University of California at Berkeley and Lawrence Berkeley National Laboratory help supply the EV scene with brainiacs, while the Bay Area’s venture capitalists keep the funding flowing.

Luxury plug-in-hybrid start-up Fisker Automotive is here, along with Coda, an American company scheduled to bring Chinese-built electric cars to the States later this year.

The Big Three automakers are still standing, and at least the two biggest among them, GM and Ford, are betting on electrification. In addition to the Chevy Volt, GM’s Cadillac has designed a plug-in concept that may become reality. Ford’s all-electric Focus and upcoming plug-in hybrid are due out in the next two years. At least four battery companies are building automotive-grade lithium-ion cell factories in Michigan, and GM’s new battery-pack assembly plant began producing Volt batteries in January.

The CEO of the Indianapolis-based lithium-ion company EnerDel calls greater Indy the “Silicon Valley of the auto industry.” EnerDel, which makes EV batteries for Volvo, Think and others, is building a third factory here, and electric-drive-component suppliers such as Delphi, Allison Transmission and Remy are also in the area.

Nissan will build up to 150,000 Leaf electric cars per year at its plant in Smyrna by 2012. It will make the batteries for those cars in a Tennessee factory it’s building with a $1.4-billion loan from the DOE.

Chevrolet Volt

DUE OUT: November

Nissan Leaf

DUE OUT: December


DUE OUT: Late this year

Coda Sedan

DUE OUT: Late this year

Ford Focus BEV

DUE OUT: Next year

Prius Phev

DUE OUT: 150 cars in the u.s. this year

Tesla Model S

DUE OUT: Officially next year, although 2012 seems more likely

Top 10 Ai Chip Makers Of 2023: In

As the figure above illustrates, the number of parameters (consequently the width and depth) of the neural networks increase, which indicates greater model size. To derive meaningful results from existing deep learning models, organizations require increased computing power and memory bandwidth. 

Powerful general-purpose chips (such as CPUs) cannot support such sophisticated deep learning models. Therefore, AI chips that enable parallel computing capabilities are increasingly in demand, and according to McKinsey, this trend will continue.

However, even Intel, which has numerous world-class engineers and a strong research background, needed three years of work to develop its own AI chip. Therefore, for most companies, buying chips or platforms that run on a purpose built AI chip, from these vendors is the only way to develop powerful deep learning models. This article will introduce 10 AI chip vendors to help companies choose the right one.

Who are the leading AI chip producers?

1. Nvidia

Source: Google

Nvidia has been producing graphics processing units (GPUs) for the gaming sector since 1990s. The PlayStation 3 and Xbox both use Nvidia graphics arrays. The company also makes AI chips such as Volta, Xavier, and Tesla. Thanks to the generative AI boom, NVIDIA had excellent results in Q2 2023 and reached a trillion in valuation.

NVIDIA’s chipsets are designed to solve business problems in various industries. Xavier, for example, is the basis for an autonomous driving solution, while Volta is aimed at data centers. DGX™ A100 is the flagship AI chip of Nvidia which is also designed for data centers. Product integrates 8 GPUs and up to 640GB GPU memory. Nvidia Grace is the new AI chip model that the company released for the HPC market in 2023.

2. Intel

Intel is one of the largest players in the market and has a long history of technology development. In 2023, Intel became the first AI chip company in the world to break the $1 billion sales barrier. 

Intel’s Xeon processors, which are appropriate for a variety of jobs, including processing in data centers, have had an impact on the company’s commercial success. In comparison to earlier generations, the third generation Xeon platinum series has up to 40 cores and 1.6 times greater memory bandwidth, and 2.66 times greater memory capacity compared to previous generation.

Gaudi is the neural network training accelerator  from Intel. This product is able to scale as models get larger and has a relatively low total cost of ownership. For inferencing, Intel has the Goya, optimized for throughput and latency. 

Intel® NCS2 is the latest AI chip from Intel and was developed specifically for deep learning. 

3. Google Alphabet

Google Cloud TPU is the purpose-built machine learning accelerator chip that powers Google products like Translate, Photos, Search, Assistant, and Gmail. It can be used via the Google Cloud implementation. Edge TPU, another accelerator chip from Google Alphabet, is smaller than a one-cent coin and is designed for edge devices such as smartphones, tablets, and IoT devices.

4. Advanced Micro Devices (AMD)

AMD is a chip manufacturer that has CPU, GPU and AI accelerator products. For instance, AMD’s Alveo U50 data center accelerator card has 50 billion transistors. Accelerator can run 10 million embedding datasets and perform graph algorithms in milliseconds.

IBM launched its “neuromorphic chip” TrueNorth AI in 2014. TrueNorth contains 5.4 billion transistors, 1 million neurons, and 256 million synapses, so it can efficiently perform deep network inference and deliver high-quality data interpretation.

In April 2023, IBM launched its new hardware, “IBM Telum Processor”. Its development process took three years and is aimed to improve efficiency of use of large datasets.  According to IBM, it is suitable to use Telum processors for missions such as preventing fraud immediately due to its improved processor core and memory compared to previous AI chips of the company.

The below video further introduces Telum Processor:

Who are the leading AI chip startups?

We would also like to introduce some startups in the AI chip industry whose names we may hear more often in the near future. Even though these companies were founded only recently, they have already raised millions of dollars.

Source: Statista and Reuters

6. SambaNova Systems

SambaNova Systems was founded in 2023 with the goal of developing high-performance, high-precision hardware-software systems. The company has developed the SN10 processor chip and raised more than $1.1 billion in funding.

It is important to note that, rather than selling its AI processors, SambaNova Systems builds data centers and leases them to the businesses. Product as service approach of SabaNova Systems might enhance product stewardship and force them to produce more durable products since they own it through the lifecycle. AIMultiple evaluates product as service approach as one of the circular economy best practices. 

7. Cerebras Systems

Cerebras Systems was founded in 2023. In April 2023, the company announced its new AI chip model, Cerebras WSE-2, which has 850,000 cores and 2.6 trillion transistors. Undoubtedly, the WSE-2 is a big improvement over the WSE-1, which has 1.2 trillion transistors and 400,000 processing cores. 

Celebra’s system works with many pharmaceutical companies such as AstraZeneca and GlaxoSmithKline because the effective technology of WSE-1 accelerates genetic and genomic research and shortens the time for drug discovery.

8. Graphcore

Graphcore is a British company founded in 2023. The company announced its flagship AI chip as IPU-POD256. Graphcore has already been funded with around $700 million.

Company has strategic partnerships between data storage corporations like DDN, Pure Storage and Vast Data. Graphcore works with research institutes around the globe like Oxford-Man Institute of Quantitative Finance, University of Bristol and Berkeley University of California are other reputable research organizations that use Graphcore’s AI chips.

9. Groq

Groq has been founded by former Google employees. The company represents a new model for AI chip architecture that aims to make it easier for companies to adopt their systems. The startup has already raised around $350 million and produced its first models such as GroqChip™ Processor, GroqCard™ Accelerator, etc.

On the first of March, Groq acquired Maxeler, which has high performance computing (HPC) solutions for financial services applications.

10. Mythic

Mythic was founded in 2012. It developed products such as M1076 AMP, MM1076 key card, etc., and has already raised about $150 million in funding.

You can also check our sortable list of companies working on AI chips.

You might enjoy reading our articles on TinyML and accelerated computing.

If you have questions about how AI hardware can help your business, we can help:

This article was drafted by former AIMultiple industry analyst Görkem Gençer.


Cem regularly speaks at international technology conferences. He graduated from Bogazici University as a computer engineer and holds an MBA from Columbia Business School.





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