Building the Smallest AI PC

I found this video on YouTube. In it, Alex Ziskind sets out to build the smallest possible most powerful computer for LLMs. It was a good watch, and made me wonder if I should create a tiny AI computer. Components are changing and improving as fast as AI is, and now might be a good time to jump in and build one.

Ziskind gets into the weeds of needed components, calculates size into computing speed in his video, and ends up comparing his build to his friend’s M3 setup. Before I get more into the video, let’s talk about what an AI computer needs.

Gaming PCs vs AI PCs

With AI new to the scene, it has performance demands that we haven’t really seen in PCs, except game PCs. There’s a reason Nvidia has risen to the challenge of AI faster than other companies. Their focus on gamers is what has positioned Nvidia to lead in AI. Gaming needs fast graphics, ie GPUs. The GPU was originally invented for gaming, so it’s optimized for fast, high performance work. AI uses that same kind of power, just a lot more of it.

Then there’s an exponential jump in power requirements to run AI locally. For a gaming machine, 8GB is good. For AI, though, you want to start at 24GB. If you want to know more about what levels of AI you can get with what amounts of VRAM, here’s some more info.

In that video I mentioned earlier, Alex Ziskind, the creator, made a gaming/AI PC hybrid. You can run AI on a pure gaming machine if you want to. I wrote an article that shows you how to take your gaming machine and upgrade it to run AI. Keep in mind that GPU is more important than CPU when it comes to running AI, and memory is most important.

Numbers game

The GPU requirements boil down to a numbers game.

For an entry-level user, you’d need a GPU with 8MG VRAM. Couple that with DeepSeek Bronze or Silver. For a power user, you need 24GB VRAM and DeepSeek Gold. A pro should use 96 GB VRAM paired with DeepSeek Platinum.

Beware when buying a PC marketed as an AI PC. They are often overpriced, and don’t take GPU or memory into consideration. You can choose either smarter and slower or faster and unremarkable. 

That being said, let’s look at Alex Ziskind’s solution. He set out to make the smallest possible AI computer.

Components

• GPU: RTX Pro 6000 (96 GB VRAM) ($10.5k)
• SSD: Samsung 9100 Pro 2TB ($230)
• CPU: Ryzen 9 9900x ($368)
• 2 Noctua case fans ($70)
• Motherboard: ASUS Stricks X870i ($350)
• Case: Cooler Master NR200P V2 ($150)

The result was a small computer with the GPU to run a large AI. In a head to head comparison with an M3 workstation, this tiny computer held its own.

Why does this matter?

You need to have this level computer in order to run a large AI, like DeepSeek Unchained. Gaming machines are good, and better if you upgrade them, but this will get you closer to being able to run a powerful AI privately on your own machine and take up less space. If you can squeeze more tokens per cubic cm, then you’re getting more value; you’re saving computing costs in the long run.

About DeepSeek

DeepSeek changed the game as far as tokens and computing cost go. Before DeepSeek was released, OpenAI had reportedly considered subscription prices as high as $2,000 per month for advanced AI models, including the reasoning-focused “Strawberry” and “Orion,” according to a September 5, 2024 report by The Information. After DeepSeek was launched in March 2024, OpenAI dropped their rate to $20/month. Running your AI on a small, portable computer can continue that journey. You can build a really small AI computer. And it will have the VRAM you need to host a large AI off the cloud! That’s significant for running DeepSeek Unchained. Give it a try.

Check out Alex’s full video!

5 Reasons Cutting Corners in Coding can Risk Everything

Is it me, or does it seem like there are more online scams this year? Remember the 16 billion-credential “mother-of-all leaks”? In June 2025 researchers found a compilation dump containing 16 billion fresh usernames, passwords and session cookies, the largest credential leak ever recorded. Or how about the ever present toll texts on your phone?

Okay, maybe it’s not me. Turns out, AI-enabled crimes are up 456% since last year. Former federal prosecutor, Gary Redbord says, “AI has removed the human bottle neck from scams, from cybercrime, and other types of illicit activity.” As a former hacker, I am always on the lookout for scammers. They are on the bleeding edge of tech, so as technology progresses with AI, so does the crime game of malicious actors. Here are 5 cyber security threats to be aware of, and ways you can work around them:

1. API Keys in Code

API keys in code are passwords for your app that control access to sensitive data.

When attackers get a hold of your API passwords, they have access to your sensitive data, and can do any number of malicious things, like create data breaches, service disruptions, and steal your money.

How to respond:

Unfortunately, it’s hard to prevent people getting hold of your API keys. Criminals gotta eat, too. But you can learn to respond quickly to an attack. You can set up firewalls to block an attack. You can also do what we do to prevent attacks: you can use your own private chatbot. That would eliminate a huge vulnerability in your system—you are no longer exposed to cyber criminals online. Click here to find out how you can set up your private chatbot with DeepSeek Unchained.

2. Slopsquatting

Slopsquatting comes from AI code assistants hallucinating or suggesting software packages that don’t exist. Hackers watch for these made-up packages, quickly register those names, and then can upload malware under the guise of the made-up products. If a developer blindly trusts the AI’s recommendations and incorporates these packages, they unknowingly inject malicious code into the code base.

How to respond:

There are several responses to slopsquatting:

• Double-check every add-on
  If the AI names a new software “package,” look it up on the official sites (PyPI, npm, etc.) to be sure it’s real.
• Let security scanners do the work
  Turn on tools like Dependabot or Snyk so they automatically flag missing or shady packages.
• Freeze the versions
  Lock package versions so a surprise update can’t sneak in a bad actor.
• Make the AI double-check itself
  Ask the assistant to list every package it used and prove each one exists.
• Tame the AI when needed
  Turn down its “creativity” setting or retrain it if it keeps hallucinating.

3. Code Removal

Code removal is when the AI generates your code with chunks of it missing. This can happen if it 1. hallucinates an instruction to delete some lines of code from the codebase, or,

2. instead of writing all the code it should, inserts a comment like

 the code from here remains the same as before

which is where the AI gets lazy and doesn’t write everything it was supposed to.

 For example,

This is really easy to miss if you’re working on code that goes on for several pages.

Code removal leads to two cybersecurity problems: destruction of data and vulnerability exploitation. Malware can destroy data and create backdoors to exploit vulnerabilities in code and give attackers access to sensitive data.

How to respond:

Here are 3 things to keep in mind when coding with AI to minimize this:

1. Always keep backups of your code.

Use version control (Git). Make commits often. Push to GitHub or another cloud repo. Before asking AI to rewrite a file, save a copy. Even a quick cp app.js app_backup.js helps.

2. Store a read-only backup somewhere else.

Don’t rely only on your laptop. Sync to Dropbox, Google Drive, or a private repo.

3. Add guardrails to your workflow.

Use AI in a branch, not directly in main. Review and test before merging.

4. Credential Harvesting

Attackers get usernames through any means necessary, including phishing, social engineering, or exploiting vulnerabilities in apps that store or process credentials. This is similar to the risk you face with API keys in code, but credential harvesting has to do with email contacts rather than API keys.

Once inside a network with valid credentials, attackers can do many things, including

• Plant ransomware.
• Intercept communications.
• Conduct long-term surveillance.

How to respond:

When this happened to me, I took these steps:

I barricaded the front door with phishing-resistant MFA, watched the windows with disciplined logging and alerting, and have a rehearsed plan to slam every entry shut the moment a thief is spotted.

I had to do the following as well:

• Use phishing-resistant MFA—a hardware security key, passkey, or at worst an authenticator app; never rely on SMS.
• Let a password manager create and store unique passwords; don’t reuse them.
• Keep every device and browser patched and run reputable anti-malware plus built-in OS protections.
• Stay alert to phishing: inspect links, sender address, spelling, and urgency cues before a single click.
• Monitor your identity: freeze your credit, watch accounts for new-device logins, and change any password you even suspect was exposed.

5. Extra Code Based on Hallucinated Requirements

If you’re vibe coding an app, an LLM might hallucinate a requirement that didn’t previously exist, like “the software must have a login page”, and then proceed to create and integrate a login page you didn’t ask for. Hallucinations can stem from a lack of sufficient training data, the model’s tendency to overgeneralize, or its inability to differentiate between real and imagined information.

How to respond

Some of the most effective responses to this cyber security threat are:

• Improving Data quality and relevance
• Employing RAG
• Reinforcement Learning from Human Feedback (RLHF)
• Prompt EngineeringTechniques (clear instructions, examples, chain of thought, restrict external information
• Fine-tuning or training your own models

We have solved RAG with our product Dabarqus in our private chatbot, DeepSeek Unchained. Download it here.

Conclusion

AI is a tool, not an evil device. Criminals have used it for harm, but you can work around them. Know what tactics attackers use to stay a step ahead of them, and thwart their malicious ways. RAG and fine-tuning are ways to employ AI for good. The faster business owners stop cybercrime in its tracks, the sooner attackers go looking for a new hustle.

Did we just get the first **real** AI PC? 

The Big News 

The race for the best AI hardware just got real. Nvidia just announced a GPU with 96GB of VRAM, which is about 4x more than what Intel and AMD currently offer on the consumer level. 

That might not sound exciting unless you’re into machine learning, but trust me, it completely changes what you can do with AI, locally, without the cloud. 

For reference, with my M1 MacBook (24GB unified memory), I can run a pretty low level LLM with no problem, but if I wanted to chat with a private AI as good as ChatGPT, the laptop might explode before it could even generate an em dash. 

Since this is such a big leap, we haven’t heard anything in response from Intel and AMD yet. Does this mean Nvidia is the only way to go to run high end LLMs privately? Let’s talk about it. 

What Specs Do You Actually Need to Run Local AI? 

For a baseline, we’ll be looking at the power needed to run a DeepSeek AI model in the DeepSeek Unchained app. 

Absolute bare minimum 

The least amount of VRAM you can get away with is unfortunately not likely to get you where you want to go. With only 4GB VRAM (DeepSeek Copper), your LLM can get caught in a spiral with its answers and then hallucinate you asking a question you never asked, which is just a frustrating waste of time. 

So, technically the bare minimum is 4GB VRAM, but, in reality, you’re gonna need at least 8GB VRAM to start getting anywhere. 

Optimal specs 

A GPU with 16GB VRAM is workable, but we’re really starting to cook with 36+ GB VRAM. In DeepSeek Unchained, that gets you the Gold model, which is pretty great as far as local models go. 

Cloud-quality AI, locally 

This is where we get to the dream of running ChatGPT level AI completely off the cloud. With the RTX 6000, you can run DeepSeek’s best model locally, no cloud required, with performance on par with ChatGPT. 

Which AI PC Setup Is Right for You? 

Nvidia’s RAM is a game changer. AMD and Intel will follow suit if they have any sense at all. With 96GB of RAM anyone can run DeepSeek Unchained on their own server, and reap all the benefits of private AI. Even if you can’t afford the top of the line, you will be able to run some level of DeepSeek Unchained on your machine with an AI PC. 

This new development from Nvidia is an exciting sneak peek into the future of private AI. We’re looking at the transition from concepts to reality in terms of what we can do with local LLMs. 

Top 5 AI Turf Wars

Is the earth flat or round? Was the moon landing fake? Does pineapple belong on pizza? There is no shortage of polarizing arguments to be had online. But something about AI has ratcheted arguments up a few notches. Maybe it’s the novelty, or the unknown, but there are outright turf wars around AI. Here are the top 5:

1. Is Vibe Coding Good or Bad?

Which response do you prefer?

2. Will AI Take Your Job?

Which response do you prefer?

3. Will AI cause mass destruction?

Which response do you prefer?

4. Will AI Cause Mass Deception?

Which response do you prefer?

AI will cause mass deception

Deepfakes are AI-generated videos or audio made to mimic real people’s faces and voices. But they’re more than just creepy, as they can be dangerously deceptive. For example, they’ve already been used to manipulate politics or cause major financial damage. Some people create political deepfakes to smear candidates or confuse voters. But NST Online nailed the financial risk better than I could:

AI will not cause mass deception

There’s no reason to fear AI as some all-knowing, perfect deceiver. It’s flawed, vulnerable, and shaped by its human creators. It’s true, people will use it as a device for deception, but that’s nothing new. Deception has been around since the serpent lied to Eve. Humans have always learned to adapt and spot it, and with AI it will be no different.

5. Will AI Hurt Human Intimacy?

Which response do you prefer?

So, these are the top 5 AI Turf wars. Which side do you come out on? What did we miss?

Get a Better Computer!

Before I upgraded my computer climbed out from under a rock, my ancient computer could only run a Phi AI. It hallucinated when I asked it questions, and it made up ridiculous recipes. So did I think Phi AI is trash? Yes, until I got a new computer.

The new computer can run a large AI at home—it’s a gaming machine. Gaming machines are cheaper than AI PCs, and it’s not that expensive to boost the memory to be able to handle a big AI at home. You don’t need to start from scratch—just make your current computer better. Whether you’re a gamer, an AI enthusiast, or both, this article will show you how to upgrade your setup into a dual-purpose powerhouse that’s ready for anything.

What Makes a Computer Great for Gaming and AI?

A better computer isn’t just about raw power—it’s about having the right hardware to handle your needs. For gaming and AI, that means a strong GPU, plenty of RAM, and fast storage. Many gaming PCs already come equipped with high-end GPUs to deliver smooth graphics, while AI PCs are built for heavy computational tasks. But here’s the good news: your gaming rig might already be closer to AI-ready than you think. 

If you’ve got a gaming PC, you’re sitting on a goldmine. I use my own computer for online gaming, training neural networks, and building AI products—all powered by the same GPU. That graphics card you rely on for stunning visuals? It’s also perfect for AI tasks like machine learning and data processing. Your gaming PC is already halfway to being a better, more versatile machine—it just needs a little push to unlock its full potential.

Three Easy Upgrades to Make Your PC Better

Ready to supercharge your computer? Here are three straightforward upgrades to boost its performance for gaming, AI, and even everyday multitasking: 

These upgrades don’t just make your PC better for AI—they’ll also improve gaming performance and keep your system snappy for years to come.

Upgrade Your Way to a Better Computer

Why spend thousands on a new AI PC when you can upgrade your existing one for less? Take a $1,500 gaming PC: with $500–$1,000 in upgrades, you could turn it into a machine that rivals a $3,000 AI-capable setup. Not only is this the smart, budget-friendly choice, but it also boosts your computer’s gaming power and extends its lifespan. Upgrading isn’t just about adding AI capabilities—it’s about making your whole system better.

DeepSeek Unchained

Once you’ve upgraded your PC, DeepSeek Unchained is a great app to show off your computer’s capabilities. DeepSeek is a smart and powerful chatbot that runs locally on your machine.

Sign up for our email list below to be the first to know when DeepSeek Unchained launches on the App Store!

Conclusion

You don’t need a brand-new computer to stay ahead in gaming and AI—just make your current one better. With a few smart upgrades your PC can run DeepSeek Unchained smoothly, locally, and without any hitches. Start planning your upgrades today, and sign up for DeepSeek Unchained to show off your computer’s full potential!

Coming Soon! (The AI You Never Knew You Needed)

I’ve been having a nice conversation, off and on for months with ChatGPT. It’s starting to feel like a warm acquaintance. I rarely second guess its suggestions anymore. But then it will ask for personal details, basically anything numerical. I leave the tab and work on something else. I would rather have this conversation with a private chatbot. I don’t like to have to keep a tab open on my browser for whenever I have a question for my acquaintance. And then, just when the conversation is getting good, it tells me I’ve exceeded my daily limit of queries.

DeepSeek Unchained

A change is coming. DeepSeek Unchained can become a friend, because I don’t have to worry about any other random AI company using my personal data to train their chatbot.

DeepSeek R1 is like ChatGPT but with far better AI, running silky smooth on your own private computer. While you use DeepSeek R1, you’ll get detailed responses and see the AI’s thought process in real time.

You also don’t have to worry about DeepSeek Unchained forgetting what you’re talking about. That’s because it has memory banks that store your private information, and then you can retrieve any part of it when you ask it questions about your data.

When you download DeepSeek Unchained, you’re not just getting a tool; you’re gaining control. No more relying on shaky internet connections or trusting distant servers with your personal info. For owners of premium Macs or PCs, local apps utilize your hardware’s full potential, delivering speed and reliability that web-based tools can’t match. And with AI becoming a daily companion, the demand for private, powerful software downloads has never been higher.

What Sets DeepSeek Unchained Apart

DeepSeek Unchained isn’t just another app—it’s a new day for Mac and Windows users. Here’s why:

• Runs Locally: Install it on your high-end Mac or PC, and it works entirely offline. No cloud, no compromises.
• Privacy First: Your conversations stay on your device
• Memory Banks: This app remembers what you tell it, so you can pick up where you left off or ask it to search your past inputs for answers.
• Real-Time Insight: See the AI’s thought process unfold as it responds, making it easier to steer conversations and dig deeper.

I want an AI that feels like a friend—one that knows me, respects my privacy, and runs silky-smooth on my own computer. That’s DeepSeek Unchained.

DeepSeek Unchained vs. Other AI Apps

You might be thinking, “What about ChatGPT?” It’s a fair question. ChatGPT is great for quick chats, but it’s cloud-based, meaning your data leaves your device.  Its subscription base means you’re capped by daily limits or internet access. DeepSeek Unchained stops all that noise:

• Privacy: your info never leaves your computer.
• No Limits: Ask as many questions as you want, whenever you want.
• Hardware Power: Built for high-end Macs and PCs, it’s faster and more responsive than browser-based alternatives.

If you’ve ever hesitated to share personal details with an AI or wished for a more consistent experience, DeepSeek Unchained is the app you’ve been waiting for.

Conclusion

I imagine myself closing that permanently open ChatGPT browser tab. I can when DeepSeek Unchained is available in app stores and on its website. I can say goodbye to my chatbot acquaintance, and start a new friendship with my local chatbot. I can tell it all my numbers—health, taxes, finance, friends…and it will remember them! It can answer any new health concerns I have, help me with my taxes, help me to save money, help me plan get-togethers with my friends…the list goes on and on. I can’t wait!

Your high-performance Mac or PC deserves software as cool as it is—and your need for privacy deserves respect. DeepSeek Unchained delivers both, making it the best app for anyone craving a personal, powerful AI experience. Say goodbye to cloud constraints and hello to an AI that’s truly yours. Sign up for the email list below, and be the first to download the app when it drops, and discover what local AI can do for you.

The Ultimate Guide to Building an AI PC if you Have your Head in the Sand

Is it me, or do you feel all isolated when you bring up the subject of AI? It’s the topic that feels too new, too technical, or just too overwhelming to bring up unless you’re a serious programmer. If you’ve been burying your head in the sand because of AI, you’re not alone. But here’s the good news: you don’t need to be an expert to use AI on your own Mac or PC. I figured out the secret–you just need the right hardware.

In this guide, I’m sharing my secrets for building or buying an AI PC. This PC will be able to run DeepSeek for Windows—a user-friendly AI chatbot that lets you run the smartest AI on your private computer. I’ll tell you three things to keep in mind when choosing your PC. By the end, you’ll know exactly how to get started.

Why You Need an AI PC (and What That Even Means)

Let’s start with the basics: an AI PC isn’t just any ole computer. It’s a machine that’s purpose-built to handle the demands of artificial intelligence, including handling very large collections of PDF documents, teaching an AI to do smart things by showing it lots of data, (training an AI), or doing complicated math. Unlike your everyday PC, an AI PC is very similar to a gaming PC, which needs specific hardware to do what it does.

Here’s a trap: lots of people try running AI on their computers, only to find they’re stuck with the weakest models—or worse, constant crashes. A lot of PCs simply don’t have the muscle to power a smart AI. That’s why understanding the right setup is pretty important, no matter whether you’re building from scratch or just buying a pre-built gaming PC. What makes an AI PC work?

CPU vs. GPU

First revelation: not all AI PCs are controlled the same way. The difference between CPU and GPU is really at the core of the setup you’re trying to build.

CPU (Central Processing Unit)

This is, of course, your PC’s brain, which is good at sequential tasks like running your operating system or browsing the web. For AI, a multi-core CPU helps, but it’s just not built for the kind of massive parallelism that AI needs. It processes tasks one at a time, more or less, so it’s going to be slow for an AI.

GPU (Graphics Processing Unit)

Originally built for rendering game graphics, GPUs have highly specialized processors that are built for stuff like rendering 3D graphics and doing matrix algebra, which is what AI really is at its core. They can handle thousands of calculations at the same time which makes them perfect for an AI to do all those matrix calculations. What would take hours for a CPU can be done in WAY less time on a GPU.

If you remember anything, remember this: if you’re building or buying an AI PC, make sure to get the biggest and best GPU you can afford. The more memory it has, the better it will perform in terms of speed of output and strength of its smarts. A GPU with lots of memory (at least 24GB) will make all the difference, trust me. The CPU is still important, but the GPU makes a much bigger difference in how you experience a smart AI like DeepSeek.

Memory

Second revelation: for AI, memory is more important than processing speed—way more. This is different from gaming, which needs speed much more than massive amounts of memory. AI thrives on having enough memory to store and process documents and your questions and answers.

There are two key types of memory in a PC (or laptop—which I forgot to mention earlier):

• System RAM: This is your PC’s working memory. More RAM lets you work with bigger datasets and complex models without slowdowns. 32GB, in my opinion, is the absolute minimum amount of RAM you want in your AI PC. If you can afford to max out your RAM, do it. You’ll appreciate it.
• GPU VRAM: This is the memory on your GPU, and only the GPU. GPU memory isn’t shared with CPU memory. Well, not on Windows PCs. That’s only on Apple Silicon right now. But, since AI is built to run on the GPU, VRAM is what you want. With too little, you’ll hit a wall—models won’t load, or your system will crash. Aim for the maximum you can afford. On a Windows PC, unlike an Apple Silicon PC, you’re limited to about 24-32GB of VRAM on a single GPU. You could add multiple GPUs to your PC, up to four last I checked, but it can get very expensive. Not only is each GPU costly, but you’ll also need to add more electrical power just to get them to work. Adding electrical power to a PC could require you to buy a higher-wattage power supply, or an entirely new computer.

For DeepSeek for Windows and similar apps, having a lot of memory means you can run the AI at its smartest. AIs love memory. The more it has the smarter, faster, and more capable it is.

Building vs. Buying an AI PC

Third revelation: you’ve got two paths to an AI PC, each with a trade-off—smarter and slower vs. unremarkable and faster.

Building Your Own AI PC

Pros:

• Customization: You can pick any GPU available, and upgrade individual parts if you need, say, more RAM.
• Cost–Effective: You can save a lot of money by buying a lesser known brand or choosing to trade performance for value.
• Hands-On Fun: It’s lots of fun to learn how your PC works as you build it.

Cons:

• Time Sink: Research and assembly take effort. Plus, everything changes so fast that a lot of what you learn will be out of date in another year.
• Tech Skills Needed: Some of these PC parts don’t work together as well as the manufacturer would like you to think. Unless you’re comfortable installing hardware drivers, you’re going to learn some patience.
• Support: Getting support from multiple manufacturers can be a challenge. You’ll have to know a bit about what’s wrong, so you know which of the several manufacturers to reach out to.

Buying a Pre-Built AI PC

Pros:

• Plug and Play: Unbox your new AI PC, put it on a desk and plug everything in. Not much more to it than that.
• Support: If something goes wrong you have a single point of contact, with a single manufacturer. The manufacturer’s support can help you track down an issue without you having to learn everything about your PC first.
• Balanced Builds: A PC that is purpose-built for AI will have the parts and drivers that will give you the best possible experience using AI.

Cons:

• Pricey: A pre-built AI PC can get expensive because you’re not paying for individual parts, but the whole. The manufacturer has tested everything to make sure it all works together, and they will charge you extra for the convenience.
• Limited Options: Unlike the custom-built PC, you may not have access to all the options you want. Manufacturers assemble PCs to give you value at a price you will pay. Sometimes that means that some stuff you want is only available at a higher price point, or just not available at all.
• Unnecessary add-ons: Don’t even get me started on bloatware. You’ve probably already got Microsoft Office or some other set of applications you use. But, a new pre-built PC will still come with a trial version of Office, and some third-rate game you’re never going to play.

The trade-off? A “smarter and slower” build prioritizes CPU memory for GPU power—which, while not perfect for AI, can get you a smart AI that’s kind of slow to answer your questions. An “unremarkable and faster” setup leans on GPU speed. This is great if what’s important to you is an AI that’s smart enough to get the job done, and fast enough to get it done productively. For the DeepSeek app, to go smarter—CPU memory matters most. But again, if you can afford it, get a GPU with lots of memory, or even multiple GPUs if your budget allows.

Optimizing Your AI PC for the DeepSeek App

Meet the DeepSeek app: an offline AI chatbot for Mac and Windows that’s as easy to use as installing a game. It turns your high-performance PC into a personal (and private) AI—no cloud, no subscriptions, just raw smarts that is all yours.

To run it smoothly, aim for:

• GPU: Nvidia with 24GB+ VRAM (e.g., Nvidia RTX 4090, or AMD RX 7900XT).
• RAM: 32GB minimum. 64GB or more for best performance.
• Storage: You’ll definitely want an SSD so you can load a huge AI model quickly.

With this setup, DeepSeek for Windows transforms your PC into a state-of-the-art ChatGPT replacement.

Common Mistakes to Avoid

• Weak, low memory GPU: A low-end GPU will have trouble with DeepSeek for Windows.
• Low CPU Memory: If you have a weaker GPU you certainly want to have a lot more CPU RAM. Too little of either kind of memory and you won’t have enough a smart AI like DeepSeek.
• Poor Cooling: AI is so demanding on a PC that needs constant cooling. This isn’t a problem on pre-built PCs, but custom built ones need to take special care not to overlook a proper cooling system. Overheating is the enemy of high-performance PCs.
• Locked Systems: You don’t want to be locked into the present. Make sure you can upgrade your computer for the future.

Though I’m a wannabe tech guru, you don’t need to be one have ChatGPT level AI on your own Windows PC. By

• understanding the difference between CPU vs. GPU memory,
• prioritizing memory over speed, and
• choosing between a smarter or faster setup, you’re ready to build or buy an AI PC that delights you.

DeepSeek for Windows makes it even easier by letting you have ChatGPT privately, without censorship or loss of privacy.

Ready to climb out of the sand and dive into the ocean? Download DeepSeek for Windows today.