and you guys are like, go back decades. >> he was a baby field producer and i was a baby reporter. >> and you are all grown up. >> nice. the nasdaq, on the secondary offering. you buy the weakness. >> all right, thank you for tching ing my mission is simple, to make you money. i'm here to level the playing feel for all investors. there's always a bull market somewhere and i promise to help you find it. "mad money" starts now. >> hey, i'm cramer. welcome to "mad money." welcome to the woodstock of a.i., nvidia's tech conference. i'm just trying to make you a little money. my job is to explain the stuff. call me at 1-800-743-cnbc or tweet me @jimcramer.

when it comes to tech, we throw around the same buzz words over and over, ecosystem, platform, all terms that have become authentic silicon valley gibberish. and then there's nvidia, a company with more partnerships in and out of tech than about any business in the world. on day two of our trip to the west coast, we went booth to booth at the most exciting trade show on earth and i'm marveled at what the nontech companies are doing with nvidia's accelerated computerring and generative a.i. technology. it's better than the mega cap techs we're always hearing and talking about. on a day when the dow rallies 320 points, a begin of 25.6% and the nasdaq advanced 29.39%, let me explain the unsung

heroes of the conference. if you look at the customer list for nvidia's new blackwell chip which can cost as much as 40gs, you see the familiar names. we're talking the synopsis tonight. then you also see l'oreal, capital one, bmw, paypal, pin pinterest, johnson & johnson getty images. they explain the reach that nvidia has and can point us to who is getting it right with jensen which matters because if you don't get it right, i think your business is behind. we'll start with the last two i mentioned, getty images and shutter stock. they have the images that can be fed into this new blackwell chip to teach it to recognize things. i haven't been a fan of getty

because it became public via a spat deal and those were garbage with only a few exceptions. getty's had stagnant revenue the last three years and the stock has been a real bow wow, but it's time to crack open the books on this one because management talked about nvidia and how they'll be releasing a newly trained model soon and will enable a.i. cap capabilities. video, pictures could breathe some new life into getty, same deal with shutter stock. i think both companies need to be reassessed. getty's pure speculation. shutter stock proved to be a real investment. i saw from jensen's notes a

german company zeimen's is the most progressive company when it comes to building digital twin factories for its clients, the process of simulating a factory right down to the floor to get it right before you build anything, eliminate waste and things that just don't work well, worth looking into. it's a medical device company i find most intriguing. take medtronic. nvidia announced it's beginning to collaborate with medtronic to bring out a.i.-based solutions for patient care, a smaller, more effective colonoscopy module, avoiding cancer. then there's migraines. as someone who before treatment averaged 26 migraines a enough, it's enough to propel me to be the chief spokesperson for the

migraine foundation of america. i want to know what medtronic's doing in neural modulation. maybe nvidia can help them and help the american migraine foundation get the breakthroughs we're all looking for. i sure hope so. johnson & johnson is trying to automate the entire operating room that could be a needle mover for j&j. you know i actually intended to buy this darn stock. it's clearly leading the way in terms of working to digitize the hospital with accelerated computing and generative a.i. i was gratified to hear g.e. healthcare got mentioned a couple times, soaring of late. a lot of that strengths comes

from examining patterns and courses of care, inference produced by nvidia super chips, something that will only get better when blackwell, the next generation chip comes out. jpmorgan is often mentioned when it comes to fraud detection and risk management. sure enough, they use nvidia to encapsulate risk in almost realtime. you want to have safeguards. who knows what might have happened to the banks that went under in the mini crisis last year had the ability to make those calculations immediately rather than overnight. maybe they wouldn't have fallen apart. so we don't know if these things are necessarily additive to earnings per share, at least not yet, but that's not how you should think about it when you pick stock. sometimes you need to look backwards. j&j wants to automate the entire operating room. what does that say about intuitive surgical, stock i

like very much? medtronic advancing colonoscopy to catch polyps or to beat the impossible migraine? you need knowledge to make money. the knowledge isn't always in the conference call or the annual supports. supports it's right here like the purloin letter hidden in glorious plain sight. you just have to get off the desk and find it by going to the gpu technology conference of nvidia seeing who is showing off their wares, the most important a.i. event of the year. let's take calls and go to robert in new york. robert. >> jim. i got to thank you for making me financially independent. you have done it for me. i tell you this all the time. because of you i can get -- hallelujah! >> -- and fly first class without worrying about moment. i know you're pressed for time. let's talk about it. >> no, no. i have time to thank you, sir. thank you. go ahead, i'm sorry.

>> jim, you're welcome. let's talk about a stock that has a high of $157 and a low around 94. the earnings are due out april 18th. the company is expected to report eps of $3.09, up 13% from the rior quarter and the company is dr horton. >> this is going to be tough. tomorrow the fed meets. there's always some yahoo that thinks the fed did something wrong and that brings horton down. if i want to buy the stock, i wait three days and buy horton, which is a homebuilder you need knowledge to make money. ♪ hallelujah ♪ i'm bringing you tonight's show from the floor of nvidia's event hitting

all things a.i. i'm kicking things off with the godfather of a.i. himself, jensen wong. you do not want to miss this. then i've got the ceo of the chip designer synopsis and hearing about the latest of a.i. innovation from snowflake. i know that's one you like with the company's new ceo. so stay with cramer. >> don't miss a second of "mad money." follow jim cramer on x. have a question? tweet him #madmentions or call us at 1-800-743-cnbc. miss something? head to madmoney.cnbc.com.

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we're here in san jose for nvidia's gigantic conference. this stock has been a tremendous winner for us as the company practically has a monopoly on the tech that makes generative a.i. and accelerated computing possible. just when their only real rival amd rolls out something borderline competitive, nvidia does the next generation of ultra high end chips dubbed blackwell, far faster than anything on the market and consume much less energy, leading edge. they will up end the entire digital chips that are woefully slower, wasteful, and less intelligence than the new ones revealed here yesterday. earlier i spoke with jensen wong, the founder, president, and ceo of nvidia. i call him da vinci because he's a modern day renaissance man. our viewers want to thank you

for allowing them to be able to retire on your stock, put their kids through school, to change their lives and i think it's good manners to say thank you. >> i want to say thank you to all of the shareholders. with their support we were able to do our work and realize our hopes and dreams. so i want to say thank you. >> we have to start that way because in the end it's "mad money" and what you've created here is something remarkable that's being recorded by the stock market, $2 trillion valuation. so i ask you what has nvidia done to deserve touch of valuation and maybe it's still inexpensive? >> there's probably never been a technology company that has made a greater technology contribution to one of the most

important industries in the world and at such large scale. we reinvented the computer as we know it. the computer has been the same since 1964, the year after i was born, and we reinvented it with this idea accelerated computing. you could now have a computer that's 100 times faster or 20 times more energy efficient, cost 20 times less, and to be able to solve problems at a scale nobody imagined, such that we help solve artificial intelligence and we're now on our way to making enormous progress in automation of intelligence and as you know, intelligence is foundational to every single industry. that's the reason why they're all here. >> is this a factory of intelligence? >> in the future, exactly. this right here that you're looking at -- can you guys see this? these servers are the densest in the world and replaces

entire data centers of the past and shrinks them into this little tiny data center here. this rack here would probably be more powerful than almost all of the computers in the world. >> in two years will this be slow? >> every couple years we'll be coming up with something so much more incredible. in the last eight years we improved performance per chip, per chip, per one of these chips we improved performance by 1,000 times in the last eight years. >> that means it can talk about a movie. does it mean it can read in a credit? what does it mean that it's so fast? >> first of all, it's probably read those names and probably read about the movies. so if you wanted to ask it a question about those movies or a book, you say read this book. now let me talk to you about this book and you can talk to it about just about anything. >> can it make it so that a

product like division pro becomes a commercial product where it would be great to be able to step into a car, find out what it feels like, what it sees and maybe that would be the sales element for a car company? >> first of all, i've enjoyed the vision pro and i got to tell you it's really fantastic. i really, really enjoy it. they've done such a great job with it. the tracking, the tracking with the world, the registration of all of the objects in the world, you feel like you're really, really in it. the thing that's really great is when we connect vision pro with this world we call omniverse and it's running on these computers, we essentially create this digital world that's overlaid with the physical world and apple calls it spacial computing. you feel like you're practically there. it's quite amazing. >> at the same time if we

switch and bristol-myers or merck, it costs a fortune to do a trial and because of that, they don't do trials or they try to solve the easy illnesses. i talked to kimberly powell, vice president of healthcare, and it's very clear beginning with blackwell we will not do trials the way we've done and we will go after parkinson's. we'll go after schizophrenia, the things no one can conquer. they're now in your tent. is this now possible? >> just as we used the technology, artificial intelligence, to understand a novel, we can use a similar technology to understand the meaning of proteins, the meaning of life. now once we can understand the meaning of life and be able to operate, use it in a computer, we could use that computer to simulate life such that we don't have to do as much of the screening in a wet lab. we can do a lot of the screening in a computer. that computer does it so fast

we could explore the chemical space that is so much larger, explore the target protein space so much larger and so much more quickly. so whatever we decide ultimately to take to rial we'll have much higher possibility of actually passing the trial and becoming a -- >> i think once -- your keynote i would urge people to watch, especially the soaring rock at the end and how gorgeous they are, but people don't realize in the end you are a supplier to other companies, so that if i wanted to do this drug, i wouldn't call jensen. i'd be working with the company that is figuring out how to be able to use you to be able to do the trial. you're not the nameplate and i think that's one of the reasons people can't understand you're a $2 trillion company because they aren't on the nvidia phone. >> there's no computer company that has ever been built like

ours. we created a brand-new way of doing computing. everybody we work with here, there's researchers and scientists from $100 trillion worth of industries, healthcare, financial services, manufacturing and such and when we're done building all these computers, we break them up into parts and we integrate them into microsoft azure, hp, dell, they take it to market. a really amazing company we work with, deso, adobe and others, our technology is integrated into these, integrated into these computermakers and that's the reason why nvidia is

everywhere. >> we hear all the time amazon is working on competitive products. all i hear from you is good. we want to help everybody develop whatever is necessary. you are not at war with customers. >> no. well, we do something very different, first of all. our architecture on the one hand could do artificial intelligence. it could do computer graphics, physic stimulation, data processing, sequel data processing which consumes a lot of energy and costs. for many customers we reduce it by 95%, 20 times reduction in costs and energy use, so much so that google's data clock is now accelerated by it. we announced a partnership yesterday with a great company, data bricks. they're going to accelerate their data processer. they're a large data processing cloud company. they're going to accelerate their data processing on it and so all of this is something you can do on our architecture. the other thing you can do with our architecture is everything. so if you're a developer and

develop on nvidia, you can run it on aws, gch as your hp, dell, ibm, anywhere. >> everything is on allocation. you say we can do that, but nobody has enough nvidia product, right? does mark zuckerberg have enough nvidia with 350,000 chips? >> we're in the beginning of this a.i. computing ramp and we're in the beginning of the accelerated computing ramp. it's going to last a few years. >> how are you going to be able to get -- we know that you are tech power. i'm looking at tech power. i can't get enough tech power. so what do i do? how do i get right with jensen? >> everybody is right with me. they're fine. the most important thing is to work together, to plan for the delivery of the chips. you got to place the po, get your data center ready, get all the engineers working on these

data centers together. we'll make sure everybody gets their parts. >> they're all going to be presumably customers for life. you can't just switch. if it were just chips, just hardware, then you could be a commodity. you're not commoditized. you're going the other way. >> nvidia is a computing platform, yeah. so the applications developed for our hardware runs on our hardware. >> i'm going to ask you again, i thanked you for many people, 150 people i saw this weekend who all told me please tell him thank you. they all also want something i know is pedestrian, doesn't have value. they want a stock split. why can't you give it to us? >> well, we'll think about it. today's not the day to announce it, as you know. >> no, i know and again, i apologize. are. >> we've done stock splits in the past. one of the things i really like about stock splits, by the way, is that it makes for the stock purchase for our employees and others. >> that's what walmart does,

too. >> we want to take care of our employees. they do such an incredible job for us. >> nvidia's ceo jensen huang. coming up, this software player was on the move after a shout out at the gtp conference. don't miss cramer's one on one when "mad money" returns.

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i've said many times i believe generative intelligence is the next great industrial revolution. this event is where you learn what actual businesses are doing with ai. take synopsis, an electronic design automation software company with a platform used to design semiconductors and electronic components. nvidia announced this high setting will be taking semiconductor manufacturing to the next level. this is just the latest in a string of important developments for synopsis. they're paying $35 billion in cash and stock for answers, another great design play with terrific stimulation capabilities. tomorrow synopsis prevents a new product at their user group conference, but tonight we're getting a sneak preview with the new president and ceo of

synopsis. welcome to "mad money." >> great to be here. thank you. >> you are kind of the man of the day because jensen mentioned you repeatedly to me as someone who has been one of the most long lasting and important partners with nvidia. what do you do with them? >> we're mission centric. imagine putting all these devices in that small silicon area and insuring it's going to function and when you manufacture it, it's going to work based on the intention of it. >> so jensen's people design it and you actually find a way to do it? >> we provide them the software. we're an engineering software company. every designer in nvidia is using our software to actually detect it, design it, and verify. then once they're ready to ship it to manufacturing, we are the bridge to manufacturing. so we work with the foundry,

with the silicon. >> nvidia to you, maybe to taiwan. >> exactly. >> now you got your big conference tomorrow. your stock was up huge today i think in anticipation of some of the things you're going to say of maybe give us a little preview? >> there are three focus areas. one, the complexity of design. it's exponential, not because we like complexity. it's the need to bring in all these computes into the silicon and how do we enable our customers to do it? chip complexity. the second one, what we call silicon system. as you hear jensen describe, nvidia is not only a chip company, it's a system company, right? >> right. >> as you're going through the system world, you become end market specific. so if you're selling to an automotive, to an industrial, you need to understand their

work load, their software and customize your system and your silicon in order to have a power efficient, high compute ability to deliver to those systems. >> these are impossible tasks. >> exactly. however, if you believe that in the future the world is going to become more interconnected. >> right. >> any end market, be it car, home, industrial, interconnected, more intelligent, marter using a.i., electronics are essential. we call this electronic digital twins. how you create digital twins that is connected to the omniverse cycle application to design it to design to simulate to make sure it's going to work. that's what we're talking about. >> jensen talked about digital twins over and over again and the biggest supplier on the frontier is the factory and that's you. >> exactly. >> now he told me if i want to

know how cars are going to be made, i need to know answers. you're going to be answers. tell me how cars are going to be made. >> exactly. what synopsis has been is an electronics digital twin of the system. anything chips-related, you need to virtualize that chip into a digital twin. so if you are in automotive oem, before you buy the chip, you want to get a sense how will that chip function in my system? >> right. >> that's where synopsis has been. where anss has been the leader is simulation. before it used to be a physical set. now it's simulation is able to do that. >> i didn't know. that's what they do? >> they simulate multiple aspects of what's called physics, be it mechanical, structural, et cetera. now when those devices become

smart, you have chips, providing monitors of that system, but how does that stimulate in the context of the physical world? that's where ansys and synopsis will provide the virtual worlds of the future. >> when jensen is saying we eliminate waste, we're not crashing cars every 15 minutes. >> exactly, but as the world becomes more autonomous, electrified, you cannot do it. it's too expensive nd it takes too long. >> too expensive. >> and it takes too long. that's the opportunity we're very excited about. >> well, this is why your stock has been unbelievable for so many years and i want more people to understand it because they should be owning something. you've been cutting edge the whole time. >> the whole time. >> this is the ceo and president of synopsis. coming up, this stock's gains have melted away.

is a buying opportunity in the forecast? cramer sits down with snowflake next. - so this is pickleball? - pickle! ah, these guys are intense. with e*trade from morgan stanley, we're ready for whatever gets served up. dude, you gotta work on your trash talk. i'd rather work on saving for retirement. or college, since you like to get schooled. that's a pretty good burn, right? rylee! from rylee's realty! hi! this listing sounds incredible. let's check it out. says here it gets plenty of light. and this must be the ocean view? of aruba? huh.

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we're out here in silicon valley not just to learn about nvidia's high powered new chips, also to find out what everybody else can do with all this computing power which brings me to snowflake, the cloud-based data software and yesterday snow make announced it will step up the partnership with nvidia to give their clients better access to computing power. earlier today we spoke to snowflake's new ceo sridhar ramaswamy to get a better sense what this partnership means and where his company and its stock

are headed. take a look. last time we saw you was with frank. it was time for frank to move on, as we know. tell me what's happened to the company since he's no longer ceo. >> well, jim, excited to be here. snowflake is the premium enterprise a.i. company for the entire planet. >> really. high statement. >> yeah. we are the data platform on which the house of a.i. and the enterprise is getting there. >> give me an example who is using you like that. you have a good relationship with disney. >> disney uses snowflake as their data. every decision they make in their park runs through powered by snowflake. at&t uses us for all of their customer happiness methods to be able to look at it and the

example goes on and on. >> let's talk about you because we didn't get a chance because i knew frank from service now, knew it was time for him to move on. you get appointed ceo. your background at google was extensive. do you think it relates to what you do now? >> well, i was in commerce at google, different kinds of businesses, but at their core we served advertisers who are big, big customers. we had people like booking and amazon, 10 billion plus on up, so that is where my experience is very, very valid, worked super closely with innovation and product. there was $1.6 million to over $100 billion when i left. that wealth of experience comes in handy here and early on at snowflake i'm meeting with a lot of customers. the amount of excitement and love that they have for the product is just incredible and our product team is on a tear.

a.i. products, for example, have gone into availability over the last two weeks and partnerships like the ones with nvidia, but also innovative players are coming together to do a lot for snowflake and its customers. it's quite exciting. >> there's the consumption model. what do they like? >> about me? >> no. about the company. why are so many companies choosing you? >> great question. snowflake takes the complex and makes it simple, sophisticated, and cost efficient. i talked to this one nvidia data science in india who told me, i've been using snowflake for three years and have not filed a single support ticket. our product just works and that's what customers love. as we bring on new capabilities like a.i., we bring it the snowflake way. we make it easy for our customers. >> look, here we are in nvidia

world, jensen world, and you announce your partnership. what is better about the company with the partnership than without? >> nvidia is easily the premier player in a.i., both on the hardware ide, but also on the software side. people don't understand that. >> right. >> our partnership, we work with them on how do we stream foundation models better that's at the bottom of all these things, but also on inference. how do we make a.i. much, much faster? they have a great model that makes search looking for information much better. that is incorporated. we work extensively with nvidia to bring a.i. to the enterprises and what they of all people understand is that the bar for a.i. and the enterprise is a lot higher than that with consumers. it has to be reliable. that's what we are working on getting. >> understood. now there was a talk when you took over. there was also a bit of a guide down. >> yeah. >> it was weird because you had

an exceptionally strong bookings quarter. i was a little confused. it did seem there are some headwinds. it also seemed like bookings were good, we were concerned about maybe where people kept their information. they moved it from you to back to aws. i kind of want to clarify all these things because the last thing that happened was basically numbers go down and yet maybe business is good since you've taken over and i shouldn't extrapolate what happened last quarter. >> well, let's get into that. >> okay, good. >> as you point out, we had a monster quarter. our revenue growth, the consumption model, was very, very strong, mid-30s growth, our rpo, top people committed to spend $5.2 billion, which is a huge amount, and coming into this quarter i see very healthy consumption, very healthy bookings, and also incredible product momentum and partnership momentum and just hearing from customers there is

a lot of appetite for doing more with snowflake. new customers are flocking to snowflake. i actually feel super positive where we are as a company. of course, you have to deliver on the results, but that's my job. >> i meet a lot of people who own stock. i meet a lot of young people who own your stock and they typically say, i don't really understand tech, but they seem to like the uber of technology, that you use it and you consume it. you pay and it's a bargain. younger people seem to understand your model. is that an accurate depiction? >> well, i think the consumption model is incredibly powerful. think about how like your software licenses. they cough up the money quarter after quarter. we we have to earn our money every single day. we have to work on delivering value every single day. it was the same with ads. you had to show return on

investment. i'm actually very happy we're doing that because that makes much of your business in the long term. >> frank was saying you can spend a fortune buying nvidia stuff or figure out whether it works and you can get a return have. rather than just buying what you heard was good and then not getting any return on investment. that's what i keep thinking you do. you offer a bargain to customers. >> we offer a product that does not require an army of people to integrate and maintain. we make, as i was saying, the complex just easy and sophisticated and a.i. is just going ting accelerate that so much more because the way we are integrating a.i. we're going to have many, many more business users, but we put an enterprise twist to it. everything we do on snowflake has to be reliable. that's why you can't actually

believe what you talk to. we want to create reliable, robust products. >> today you got a downgrade that's basically saying customers are shifting data storage to iceberg tables, which are externally stored in aws. >> i am glad you brought this up. >> okay. >> because this has been viewed, misinterpreted so much. >> let's clear it up. >> let's clear it up. so one of the biggest things that we at snowflake are doing is supporting open format. the snowflake is an incredibly efficient compute engine, can support all data in the cloud, not just data in the snowflake. i was talking to a friend this weekend. big company, these people know what they're doing with data. he said, "half of my data was on snowflake. all my engineers were asking me to do it on the remaining 19.5% and i told them no way. i don't want to be moving that, but if you think about

something like iceberg and the open format, this to run on the remaining 99.5%, it is a massive revenue opportunity and something we'll embrace wholeheartedly because it vastly increases our playing space. >> i think a lot of our viewers needed to know that. i really want to thank you. this is sridhar ramaswamy, snowflake's new ceo who actually is no longer really that new, but we've get sridhar now with some very good answers to some of the questions. thank you, sir. >> thank you, jim, pleasure to be here. when we return, master the marks one stock at a time, the lightning round up next.

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it is time for lightning round. you play this out and then the lightning round is over. are you ready? lightning round in texas, trey. >> jim, after wanting one for about a decade i finally broke down and bought a roomba vacuum and this bad boy sucks. my floors have never been cleaner. it's the original name in home

cleaning a.i. is i robot suck amid all the hype. >> they're on sale at costco, but the stock. hey, how about edward in ohio. edward. >> hi, jim. i've been in the house of pain now over a year and a half with this stock. i've been reinvesting the dividends and i want to know what i should do with dominion stock. i want to hear the cash register. >> i do not like dominion. i think they made a lot of mistakes with their balance sheet. can't let you out of the house of pain. sam in colorado, sam. >> jim, listen, i got a question for you. rivian is a great company, makes really attractive cars. i'm worried about the stock given the dilution risk from the convertible bond offerings. what do you think is going on there? >> you and my wife. my wife says, i want to buy a rivian. i'd rather buy the car than the

stock. let's go to dave in florida. dave. >> how you doing there, jim? i've been watching your show since the late '90s. i'm about your age, jim. let me tell you i owned draftkings when it was $15 and sold out right after super bowl, bought it back and i wanton how much life is left on draftkings. i think it's a great company. >> i agree it's a great company, but football season's over. i think it's going to pause. i don't want to buy it. i want to pause on that one. i don't want you to buy it. let it come in. i need to go to ed in my homestate new jersey. ed. >> jim, thanks for taking the call, watching your show for years and i love the lightning round. >> excellent. thank you.

>> i'm looking at paa. >> i see you and raise you with enterprise product partners which is a better company and that, ladies and gentlemen, is the conclusion of the lightning round. >> the lightning round is sponsored by charles schwab. coming up, cramer's seen countless examples of this company's game changing advances, but has the gtc conference demonstrated a lifesaver? more next. trading at schwab is now powered by ameritrade, unlocking the power of thinkorswim, the award-winning trading platforms. bring your trades into focus on thinkorswim desktop

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when you make the pilgrimage to the annual gtu technology conference, it's easy to be blown away by the sensory overload and you miss the big picture and there are a lot of big pictures out here. many people seem focused on what magnificent outfits like amazon web services, google and meta are doing with visual technology. then there are the factories, chips and cars that need video chips to create waste while creating the factories, videos and chips for tomorrow. speaking for the spokesperson for the american migration foundation, i was most shocked by what i found in nvidia's healthcare division. the migraine foundation deals with the formerly impenetrable things that is the brain. baby's heart fund helps children suffering from heart disease, two of the most intractable health issues of our time and doctors are desperate to find new medications, but the pharmaceutical industry often seems unable to bring drugs to market that can help.

it is incredibly drug watching a new drug fail. the chief obstacle? the trials. it's the dropout rate. you need people to sign up with the constrictions of the trial. the trials take forever, too, and cuts into your patent protection time 20 years from the time you file. if the critical trial lasts three to four years, it puts a serious did not in your investment. it might take six or seven years to get something through the approval process and another year or two before anyone has heard of it. i'd say 12, 20, that's what it amounts to, eight years lost. in reality trials may eat up 30 to 40% of your 20 years of patent protection. can you imagine? so anything that can speed up this process is a pure profit for the drug companies. otherwise they may not bother with the promising drug at all and that's where nvidia comes in. nvidia's super computers can scour data to identify natural

candidates for the trial instead of just posting the trial to the fda website the lame way it's done now. then they can use a.i. to see if they have the right people who commit to the rules of the trial. many i sources believe a process that might take two or three years to get off the ground could take three months. meanwhile the knowledge nvidia can bring to the actual drug development process to knowing the best way to make it, something a computer is much better than human, that's a game changer. as someone trying to help invent drugs myself, i can't tell you how big this is. there's so many publicly traded drug companies and they face the same dilemma to try and tackle serious illnesses. with nvidia's speed and superior earning, it becomes a lot more easy. they may not solve the problem of a baby's bad heart or dysfunctional brain, but there are hundreds of other illnesses that could be treated better using nvidia's machines to make it worthwhile for the drug companies to make riskier bets on harder to treat diseases.

that's a win, not just for you, the shareholder, but for everybody. i'm jim cramer. see you tomorrow. tonight another texas size the last call, we are coming to you from day to of the snp global conference. if you missed our show last night don't worry tonight maybe bigger because we are in texas after all on deck we will speak with mike worth, ryan lance and dan juergen the world's first most