Best Podcast Episodes About Oxide Computing
Everything podcasters are saying about Oxide Computing — curated from top podcasts
Updated: Apr 28, 2026 – 22 episodes
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Ridealong has curated the best and most interesting podcasts and clips about Oxide Computing.
Top Podcast Clips About Oxide Computing
“… be proud to be an American here. But look, I think one interesting thing about the way China has chosen to attack this is they've made quantum computing a priority. And what that means in China is, you know, It's like there used to be a lab at Tencent and Baidu and a few other places. And at some point, a Chinese Communist Party official came in and said, guess what? You guys all work for us now. And guess what? You're all working together now. And guess what? You're not allowed to talk about it anymore. And that's the state of things. It's kind of a I don't want to say Manhattan project, but …”
“… US? I can guess China investing heavily here Do they have their own retail quantum companies that are trading like crazy What going on over there Yeah First off I think definitively the leaders both companies and research is American. So I think we should be proud to be an American here. But look, I think one interesting thing about the way China has chosen to attack this is they've made quantum computing a priority. And what that means in China is, you know, It's like there used to be a lab at Tencent and Baidu and a few other places. And at some point, a Chinese Communist Party official came in and said, guess what? You guys all work for us now. And guess what? You're all working together now. And guess what? You're not allowed to talk about it anymore. And that's the state of things. It's kind of a I don't want to say Manhattan project, but it's like that level of secrecy in China. And there's a legitimate question around how far back they are. So the best estimates that we have from quantum like we have a quantum physicist who's an advisor to Project 11 that, you know, tracks generally resource estimates across the world. And their view is that China may be six to 12 months behind at …”
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Ridealong summary
Quantum computing advancements have made breaking Bitcoin's cryptography easier than previously thought, posing a significant threat to its security.
The quantum threat to Bitcoin is significant enough that its removal could lead to a substantial increase in Bitcoin's price, as current fears are suppressing its value.
The leak of Claude's source code highlights both the vulnerabilities in Anthropic's security measures and the rapid dissemination capabilities of the internet, raising questions about trust and competitive advantage.
Bitcoin's price is suppressed by the looming threat of quantum computing, which deters potential investors and casts doubt on its status as 'digital gold.'
The quantum threat is a significant risk that suppresses Bitcoin's price, and if resolved, could lead to a substantial increase in value.
“… point for the world to migrate over to Ethereum. Bankless Nation, we are once again joined with Justin Drake. We're going to talk about quantum computing as it relates to crypto, Bitcoin and also Ethereum. Justin, welcome back to the podcast. Hi, guys. Thanks for having me again. So quantum has become kind of a big looming threat to our industry. We've always kind of known this. We have known this. We have known that this is a thing, that quantum is a thing. It's been largely theoretical over the last, I'll say, six months or so. Quantum has firmly moved from theoretical to something materially …”
“… first global financial system that is post-quantum secure. Not just relative to its competitors, like Bitcoin and whatnot, but also relative to fiat and TradFi. I think it would send a very strong message and kind of be a very natural security shutting point for the world to migrate over to Ethereum. Bankless Nation, we are once again joined with Justin Drake. We're going to talk about quantum computing as it relates to crypto, Bitcoin and also Ethereum. Justin, welcome back to the podcast. Hi, guys. Thanks for having me again. So quantum has become kind of a big looming threat to our industry. We've always kind of known this. We have known this. We have known that this is a thing, that quantum is a thing. It's been largely theoretical over the last, I'll say, six months or so. Quantum has firmly moved from theoretical to something materially impacting our industry, Starting with, I'll say, just like Bitcoin price, just because fund managers, even BlackRock has put out pieces about the threat of quantum to the security and therefore the value of Bitcoin. And so we have anecdotally seen people de-weighting their portfolio of Bitcoin. Perhaps that is also suppressing the price of all the …”
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Ridealong summary
Quantum computing poses a technical challenge that can be overcome, but Bitcoin's security budget is a more pressing issue that could lead to its downfall.
Quantum computing is both a threat and an opportunity, as it could undermine Bitcoin but also position Ethereum as a leader in post-quantum security.
Quantum computing poses a direct threat to Bitcoin's security, with the potential for a specific 'Q-Day' when an attack could occur if Bitcoin doesn't adapt.
Quantum computing is both a threat and an opportunity, with Ethereum potentially benefiting by becoming the first post-quantum secure financial system, unlike Bitcoin which faces security challenges.
Quantum computing poses a real threat to Bitcoin security, potentially jeopardizing millions of dormant coins, including Satoshi's, by allowing attackers to derive private keys from public keys.
Quantum computing could force a Bitcoin fork, creating a new version that burns quantum-susceptible coins to preserve value.
Bitcoin's security model is fundamentally flawed due to its reliance on proof of work and the 21 million cap, making it vulnerable to attacks and potentially unsustainable.
Quantum computing may eventually threaten Bitcoin security, but initial breakthroughs will likely target high-value targets and be used stealthily by nation-states rather than disrupt the entire crypto ecosystem.
Bitcoin is vulnerable to quantum computing attacks, and without adaptation, it faces a specific 'Q-Day' when an attack could occur.
Quantum computing poses a significant threat to Bitcoin's security, potentially jeopardizing millions of coins, including those held by Satoshi, due to vulnerabilities in public key exposure.
Bitcoin's future hinges on adopting post-quantum signature solutions to maintain throughput without increasing block size, despite the complexity and potential property rights issues.
Bitcoin's future may hinge on forking strategies to address quantum computing threats, with market forces determining the dominant blockchain.
Quantum computing poses a potential threat to Bitcoin, but its immediate impact is limited to high-value targets and may be mitigated by nation-states' strategic interests.
“… think. 2029, they plan to have all Google infrastructure updated to post-quantum cryptography that, of course, wouldn't be susceptible to a quantum computing attack. Now, if they are just updating it because they want to be ambitious and aggressive, that's one thing. If they're updating it because there's evidence to say that they needed to update it because Q-Day is actually sooner than it may appear, which is kind of what the headline alludes to, that's a different story, which has much more significant implications.”
“… in both quantum and PQC, it's our responsibility to lead by example and share an ambitious timeline. They said they're doing this to accelerate timelines across the industry because they think quantum is nigh and it's coming closer than people think. 2029, they plan to have all Google infrastructure updated to post-quantum cryptography that, of course, wouldn't be susceptible to a quantum computing attack. Now, if they are just updating it because they want to be ambitious and aggressive, that's one thing. If they're updating it because there's evidence to say that they needed to update it because Q-Day is actually sooner than it may appear, which is kind of what the headline alludes to, that's a different story, which has much more significant implications.”
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Ridealong summary
Google has set an ambitious timeline to transition its infrastructure to post-quantum cryptography by 2029, signaling that the quantum computing threat may be closer than we think. This move is not just precautionary; it suggests that evidence of imminent quantum advancements could necessitate this upgrade. The implications of such a shift could redefine security in digital finance and beyond.
“… encryption and all this shit. Like there's a world in which that stuff is not going to be safe. So that is all going to break down with quantum computing. Well, yeah. And they've already moved the timeline up. So Google actually, they did a research report recently where they used to think like, oh, we got another decade to figure out how to upgrade our algorithms for quantum. And now they're like, actually, it's like five years. And so they have to change all the encryption out. This is our like year 2000 moment. Remember when like year 2000, they're like, oh, the computer is going to like when …”
“… going to be hackable. And it's crazy to me to think that they got to a point where they went, this is so good at coding, It is going to – and then that starts to make me go, we thought that cryptography was the like gold standard of the third – 256-bit encryption and all this shit. Like there's a world in which that stuff is not going to be safe. So that is all going to break down with quantum computing. Well, yeah. And they've already moved the timeline up. So Google actually, they did a research report recently where they used to think like, oh, we got another decade to figure out how to upgrade our algorithms for quantum. And now they're like, actually, it's like five years. And so they have to change all the encryption out. This is our like year 2000 moment. Remember when like year 2000, they're like, oh, the computer is going to like when they roll over the date and they won't understand. Double zeros will come back. We're going to have to upgrade all of our, they call it quantum resistant algorithms for securing everything. Credit cards, you payment. Oh, yeah. But it's crazy. The Mythos thing is like. So do you know OpenBSD? Yes. So there's a variant of BSD, which is a Unix …”
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Ridealong summary
Anthropic's new AI model, Mythos, is so advanced that it finds vulnerabilities in even the most secure systems, like OpenBSD. As major companies scramble to adapt, the looming threat of quantum computing could render traditional encryption methods obsolete in just five years. This is a pivotal moment in cybersecurity, reminiscent of the Y2K scare.
Ridealong summary
Bitcoin's future is at risk due to potential quantum computing threats, forcing custodians to consider drastic measures like burning supply to protect against catastrophic loss.
Ridealong summary
Quantum computing is a prevalent narrative in the investment community, but it's more hype than an actual threat to Bitcoin's structural integrity.
“… know, people are like, OK, we can just put desktops and turn them into servers and so on. one of the things that blew my mind when when i came to oxide is that uh at oxide we don't have a bmc at all and so we don't have this you know thing that sits on its own network with a virtual mouse and keyboard that you know you connect over like a lan and then you know you you you have like a web ui where you can like you know press down as many times as as you need but rather um we have like what we call a service processor which is our low level processor But rather than responding to virtual mice …”
“… OK, you know, you would press down three times and write two times. And and I mean, that's, you know, that that is I feel like a very 90s way to write automation. EMC is a product of the 90s. It's kind of an offshoot of the IBM compatible PC where, you know, people are like, OK, we can just put desktops and turn them into servers and so on. one of the things that blew my mind when when i came to oxide is that uh at oxide we don't have a bmc at all and so we don't have this you know thing that sits on its own network with a virtual mouse and keyboard that you know you connect over like a lan and then you know you you you have like a web ui where you can like you know press down as many times as as you need but rather um we have like what we call a service processor which is our low level processor But rather than responding to virtual mice and keyboards over like a USB virtual USB hub or whatever we have like a proper API for that So you know we make RPC calls and we get responses, right? And so that is the more, I would say, 21st century way of designing that kind of system. And so that is very much, I think, one of those things that I feel like we realized as part of modernity is …”
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Ridealong summary
Oxide's innovative approach eliminates the traditional Baseboard Management Controller (BMC), opting instead for a streamlined API system. This modern design allows for efficient communication through RPC calls, enhancing server management without the outdated virtual mouse and keyboard methods. The shift represents a significant leap towards more contemporary, effective server architecture.
Ridealong summary
Russia is secretly providing intelligence to Iran, while Trump eases oil sanctions on Russia to address a global oil crisis. This controversial decision raises questions about the implications for U.S. interests, as Putin benefits from the situation by supporting Iran against the U.S. in a move perceived as prioritizing the greater good over political integrity.
“… which have not traditionally been used or considered for memory design, and bring them into this architecture of memory design and in-memory computing to enable that architecture to scale to this new regime of needing this level of precision. And that led us to this approach called switched capacitor in-memory computing, where this technique, switched capacitors, has been used and used robustly, as I mentioned, for extreme precision analog to digital converters. our innovation was to figure out how to use it in an architecture that now does in-memory computing for AI. It really sounds like …”
“… built 20-bit ADCs. You can buy these from companies like Analog Devices and Texas Instruments. They go in high-reliability applications like medical and aerospace and automotive. So the big breakthrough was really to say, okay, let's take those approaches, which have not traditionally been used or considered for memory design, and bring them into this architecture of memory design and in-memory computing to enable that architecture to scale to this new regime of needing this level of precision. And that led us to this approach called switched capacitor in-memory computing, where this technique, switched capacitors, has been used and used robustly, as I mentioned, for extreme precision analog to digital converters. our innovation was to figure out how to use it in an architecture that now does in-memory computing for AI. It really sounds like building on a combinatorial kind of like, you know, innovation from other sectors, perhaps, and, you know, putting that together in order to be used for compute. Yeah, and that's the privilege that, you know, we have as fundamental researchers, right, where we're not just tied to a particular problem and we think, you know, kind of on a fundamental …”
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Ridealong summary
In analog computing, the precision of capacitors is crucial for achieving scalable systems. Surprisingly, the dominant source of noise comes from geometric variations in capacitor fabrication, which can be tightly controlled using advanced lithography techniques. This precision allows for an unprecedented level of accuracy, exceeding typical needs and making analog approaches viable for complex AI systems.
“And those are the drives that are, when you're looking at an oxide rack, the drives that you are seeing out the front are those U.2 drives, just to orient. Yes. I mean, obviously correct, Brian. And then, I'm not telling you that. And then there are some internal drives, these M.2 formatted drives, and those are to store local metadata to the sleds, and they also store the installable software. So like non-private things, at least up until Trust Quorum, storing some mostly non-private things, but sled local …”
“And those are the drives that are, when you're looking at an oxide rack, the drives that you are seeing out the front are those U.2 drives, just to orient. Yes. I mean, obviously correct, Brian. And then, I'm not telling you that. And then there are some internal drives, these M.2 formatted drives, and those are to store local metadata to the sleds, and they also store the installable software. So like non-private things, at least up until Trust Quorum, storing some mostly non-private things, but sled local small data. And so we could use the data that left local there to manage a protocol over some transport channels that can use Shamir secret sharing to reconstruct a rack secret that we can use to derive disk encryption keys and decrypt those U drives And so what are we protecting against here Yeah, go ahead, Brian. Well, I was just going to say, no, …”
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Ridealong summary
The Oxide rack employs Shamir Secret Sharing to safeguard sensitive data against casual physical access. By splitting a rack secret across multiple sleds, it ensures that even if someone steals a drive, they cannot access the encrypted data without cooperation from the sleds. This innovative approach allows for secure cold booting without the need for an operator to be present.
Ridealong summary
Google predicts that quantum computers could break public key encryption by 2029, prompting a rush for post-quantum crypto protections. While some experts doubt this timeline, major tech players are already implementing quantum-safe measures. This proactive approach may safeguard our data against potential future threats, blending old and new encryption methods for added security.
“… with Apple, I feel like they are at such an inflection point here. Like Apple is so important to us, but these robots and this, this new way of computing that I think is going to be inevitably very big and very popular because it's so good. That is the next thing. And if Apple gets on board with it now, they could own it. and if they're too conservative and they decide no we're not gonna we're not gonna go very deep down this thing i think it's a huge mistake because people are going to go wherever the stuff is available to them having having your computer use itself is an incredible paradigm …”
“… robot instruction okay now note plans your source of truth go through read all the skills that relate to obsidian change them to note plan like five minutes later he was running a note plan Oh, it's just, this stuff is really amazing. Now on this point with Apple, I feel like they are at such an inflection point here. Like Apple is so important to us, but these robots and this, this new way of computing that I think is going to be inevitably very big and very popular because it's so good. That is the next thing. And if Apple gets on board with it now, they could own it. and if they're too conservative and they decide no we're not gonna we're not gonna go very deep down this thing i think it's a huge mistake because people are going to go wherever the stuff is available to them having having your computer use itself is an incredible paradigm shift and that's what you're talking about and ideally apple would make their own computers be able to use themselves in a way and hopefully that's what comes in and just as a side note I got a Samsung Galaxy S26 Ultra to try the phone. And it actually has a feature that uses Gemini where this phone can use itself. And it's specific to apps. So it's …”
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Ridealong summary
Apple stands at a critical juncture to revolutionize computing through AI integration, but their hesitation could cost them. With emerging tools like Claude Cowork already helping users automate tasks, the demand for self-operating technology is undeniable. If Apple embraces this shift and develops their own AI solutions, they could dominate the market and redefine productivity.
“… for people who want more of your insights or more information on Genesis after this episode how do they follow you Yeah. So, our website, genesiscomputing.ai, also .com, which was an interesting purchase. And I'm on Twitter, Matthew Glickman, and on LinkedIn, Genesis Computing or Matt Glickman. there is a doppelganger out there who I finally actually crossed paths with I am not the west coast Matt Glickman, I am the east coast Matt Glickman. I think if I remember correctly on LinkedIn you're Matthew J. Yes, I am Matthew J. Yes, yes, yes. Just to have some you know, separation. Yeah, there were a …”
“… written word, no newspaper, nothing. Yeah. But if you can do it, I think that's going to prove that we're over there. Leakage could be a key problem. Leakage is a problem. Yeah exactly Interesting times though So awesome Interesting times for sure Matt for people who want more of your insights or more information on Genesis after this episode how do they follow you Yeah. So, our website, genesiscomputing.ai, also .com, which was an interesting purchase. And I'm on Twitter, Matthew Glickman, and on LinkedIn, Genesis Computing or Matt Glickman. there is a doppelganger out there who I finally actually crossed paths with I am not the west coast Matt Glickman, I am the east coast Matt Glickman. I think if I remember correctly on LinkedIn you're Matthew J. Yes, I am Matthew J. Yes, yes, yes. Just to have some you know, separation. Yeah, there were a couple times before we booked you for the episode where Natalie on my team showed me that other doppelganger one because yeah, because he's in tech as well, right? Is that him? No, that's not him. Yep, I'm the other guy. Nice. All right, Matt, thank you so much for coming to record with me in person. This was a really interesting episode. Thanks …”
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Ridealong summary
A 90-year-old computer scientist, Donald Knuth, recently published a groundbreaking paper co-written with an AI, tackling a mathematical problem that had stumped him for years. This moment signifies a shift in how AI can contribute to complex problem-solving, with researchers predicting that by 2026, AI could even lead to new physics discoveries. The potential for AI to replicate historical scientific thought experiments, such as recreating Einstein's theory of relativity, presents an exciting frontier for knowledge management in organizations.
“… a lot of consultants who have made a lot of money because this company is willing to go that slowly. um the problem is that there are other forms of computing that are also in development that will also be used by business at some point so there is the classical compute architecture that we've got now and like all that stuff and ai sort of fits in there quantum computing does not yet have commercial applications at least not at scale but they are coming and so the story around quantum is always quantum encryption and like passwords you know encryption no longer works and all this stuff horrible …”
“I, you know, there's a lot of consultants who have made a lot of money because this company is willing to go that slowly. um the problem is that there are other forms of computing that are also in development that will also be used by business at some point so there is the classical compute architecture that we've got now and like all that stuff and ai sort of fits in there quantum computing does not yet have commercial applications at least not at scale but they are coming and so the story around quantum is always quantum encryption and like passwords you know encryption no longer works and all this stuff horrible horrible stuff the other side of quantum computing is being able to take just like massive amounts of data and being able to model it in either near real time or real time um to be able to get information on the other end you know you would using it requires a different type of computing system we have today, there are huge implications there, positive …”
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Imagine using human brain cells to power computers, drastically reducing energy consumption. This emerging field of biological computing could revolutionize industries, but it raises ethical questions about memory, identity, and the future of human intelligence. As we approach a convergence of AI, quantum, and biological computing, businesses must adapt to this new reality.
Ridealong summary
President Trump faces a critical choice regarding the Ukraine conflict: pursue a 'dirty deal' that offers some security for Ukraine or a 'filthy deal' that leaves it vulnerable. This reflects a broader issue of U.S. foreign policy, especially in relation to Iran's nuclear ambitions. As the situation develops, the stakes for global cooperation and national security have never been higher.
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Imagine humanoid robots covered in living human neurons instead of silicon! This revolutionary idea suggests that biological computers could enhance robots' sensory responses, potentially leading to artificial general intelligence (AGI). The debate echoes an ancient question: did our brains evolve because of our hands, or vice versa? The answer reveals the intertwined evolution of both.
“… projector itself some other fancy stuff that we haven announced yet But all of these pieces really work together to be able to fit a full immersive computing experience into a pair of glasses. And all of those things are very hard. I mean, building a ground-up operating system on Linux was really difficult to do, but it's way more performant than trying to repurpose Android, right? We learned that. I understand you don't use Android. No, we don't. OS for it. Yeah, Android is way too bloated to work effectively on a pair of glasses. I mean, I think that's why you see the most recent, you know, Google …”
“… phones, which is important when you're trying to manage power and thermal on a small device like that, but also our own operating system as well, our own optical engine. So the waveguide which is the piece of glass there in front of your eye and the projector itself some other fancy stuff that we haven announced yet But all of these pieces really work together to be able to fit a full immersive computing experience into a pair of glasses. And all of those things are very hard. I mean, building a ground-up operating system on Linux was really difficult to do, but it's way more performant than trying to repurpose Android, right? We learned that. I understand you don't use Android. No, we don't. OS for it. Yeah, Android is way too bloated to work effectively on a pair of glasses. I mean, I think that's why you see the most recent, you know, Google experiment project, Aura has a huge compute pack, right? We just don't think it's realistic for, you know, people to carry around a compute pack to use glasses. The latest coding models are very good at working with Linux, like they have a lot of training data for that. Have you found Cloud Code or Codex useful for developing in this environment, …”
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Snap's CEO Evan Spiegel reveals that the future of computing lies in AR glasses, moving away from isolating smartphones. He explains how their unique technology stack allows for immersive experiences in a compact design, making computing more human-centric and accessible. This shift could redefine our daily interactions with technology, emphasizing a people-first approach.
Ridealong summary
Quantum computing poses a significant threat to Bitcoin's security, but other blockchain networks are already planning quantum-proof upgrades by 2030.
Quantum computing poses a significant threat to Bitcoin's security, but immediate action isn't necessary as the timeline for quantum advancements is still several years away.
The main concern is for Bitcoin as it is more ossified compared to other blockchains, but immediate action is not necessary since quantum threats are still years away.
“And in terms of desktop computing, I don't know if you saw the announcement that Dell and NVIDIA are making a really powerful desktop, 750 gigs of RAM, a lot of power. You're going to be able to run some local models, open source with OpenClaw and open source coming from Kimi and a bunch of the models out in China. has the hacker group which I think you started in like I did probably in similar time periods People are starting to get really obsessed with having a or desktop …”
“And in terms of desktop computing, I don't know if you saw the announcement that Dell and NVIDIA are making a really powerful desktop, 750 gigs of RAM, a lot of power. You're going to be able to run some local models, open source with OpenClaw and open source coming from Kimi and a bunch of the models out in China. has the hacker group which I think you started in like I did probably in similar time periods People are starting to get really obsessed with having a or desktop setup and running this local What do you think of that trend I curious Yeah I mean the breakthroughs we seeing in software the way it distributing power to every man and woman in every house, and their ability to code and use products like OpenClaw, the generation of demand and appetite for computers at a local level all the way through to these mega …”
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Ridealong summary
Local AI computing is surging as Dell and NVIDIA unveil a desktop with 750 GB of RAM, enabling users to run powerful models at home. This trend reflects a broader shift towards democratizing technology, allowing individuals to harness advanced software like OpenClaw. As demand for local computing grows, it sets the stage for more innovations in automation and robotics.
“… somehow. You also have to solve the networking problem because you've got all of these computers are all connected together. And so distributed computing at the scale that we do. The CPU is a problem. The GPU is a problem. The networking is a problem. The switching is a problem. and distributing the workload across all these computers are a problem. It's just a massively complex computer science problem. And so we just got to bring every technology to bear. Otherwise, we scale up linearly or we scale up based on the capabilities of Moore's law, which has largely slowed because Dennard's scaling …”
“… 50% of the problem, and I sped up computation infinitely, like a million times, I only sped up the total workload by a factor of two. Now, all of a sudden, not only do you have to distribute the computation, you have to, you know, shard the pipeline somehow. You also have to solve the networking problem because you've got all of these computers are all connected together. And so distributed computing at the scale that we do. The CPU is a problem. The GPU is a problem. The networking is a problem. The switching is a problem. and distributing the workload across all these computers are a problem. It's just a massively complex computer science problem. And so we just got to bring every technology to bear. Otherwise, we scale up linearly or we scale up based on the capabilities of Moore's law, which has largely slowed because Dennard's scaling has slowed. I'm sure there's trade-offs there. Plus, you have a complete disparate disciplines here. I'm sure you have specialists in each one of these, high bandwidth memory, the networking, the NVLink, the NICs, the optics and the copper that you're doing, the power delivery, the cooling, all of that. I mean, there's like world experts in each of …”
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Ridealong summary
Co-designing a system with numerous components is a daunting task, especially when trying to achieve speeds that exceed the addition of more computers. To tackle this, algorithms must be restructured and workloads distributed, but this introduces challenges like networking and resource management. The real challenge lies in bringing together specialists from various fields to solve these complex interdependencies.
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Top Podcasts on Bitcoin's Quantum Threat
The cryptocurrency market, including Bitcoin, is experiencing significant developments with the potential threat from quantum computing, increasing institutional adoption, and heightened regulatory scrutiny. These factors are shaping the future landscape of digital currencies, impacting their security, acceptance, and compliance requirements.
bitcoin