Artificial Intelligence is no longer the future, it’s the present. From deep learning and data science to neural networks and natural language processing, AI is everywhere. And if you’re diving into AI development, machine learning, or research, one thing is absolutely essential…
A high-performance laptop that can handle intensive tasks, large datasets, and GPU acceleration without breaking a sweat.
So, in today’s blogpost, I’m breaking down the Top 5 Best Laptops for Artificial Intelligence from budget options to professional-grade machines. Whether you’re a student, researcher, or engineer, there’s something here for you. Let’s get started!”
When choosing a laptop for AI tasks, you need to focus on three major components:
Processor (CPU): AI workloads need serious computing power. An Intel i7 or Ryzen 9 CPU from the latest generation is the baseline.
Graphics (GPU): If you’re training models in TensorFlow, PyTorch, or using GPU acceleration, a dedicated NVIDIA GPU RTX 2070 or above is a must.
RAM & Storage: Aim for at least 16GB of RAM and 512GB–1TB SSD storage for smooth data processing, caching, and managing large datasets.
Battery Life: You’ll also want a solid battery (at least 7–8 hours), a good display, and a build that can handle constant work or travel.
If you’re looking for raw AI performance without paying a premium price, the ASUS Zephyrus G14 is an unbeatable value.
This machine features the powerful AMD Ryzen 9 processor, paired with a dedicated NVIDIA GPU and 16GB of RAM making it perfect for machine learning, AI model training, and multitasking across data-intensive applications.
The 1TB SSD ensures you have more than enough space for large datasets, code libraries, and even virtual environments.
What makes this laptop shine is its balanced build it’s lightweight and portable, yet doesn’t compromise on performance.
Whether you’re working with TensorFlow, PyTorch, or diving into deep learning frameworks, the Zephyrus G14 delivers stable performance with great thermals.
Its design is sleek and minimal, appealing to both students and professionals alike. You get workstation-level specs packed into a 14-inch chassis a powerful combo for AI on the move.
The MSI P65 Creator is purpose-built for creative professionals but its specs make it an absolute dream for AI developers and researchers.
Powered by a high-end Intel Core i7 processor and a massive 32GB of RAM, this laptop can breeze through AI workloads with ease. Its 1TB SSD ensures lightning-fast file access and plenty of storage for massive datasets and project files.
Plus, it comes with a dedicated GPU that accelerates deep learning tasks significantly.
One of its standout features is the color-accurate, anti-glare display ideal for visualizing data, building AI interfaces, or multitasking across several windows.
This laptop is also well-known for its quiet cooling system, so you can train models overnight or work in silence.
Built with a slim aluminum chassis, it’s surprisingly portable for a workstation-class device.
If you want seamless, stutter-free performance across your AI workflows, the P65 Creator is a smart and reliable choice.
The Razer Blade 15 is an excellent all-rounder capable of handling AI workloads, everyday computing, and even some light gaming during downtime.
Under the hood, you’ll find a 10th Gen Intel Core i7 processor and a GTX 1650 Ti GPU not the highest-end graphics card, but still solid enough for training mid-size models and running frameworks like Keras, Scikit-learn, or JupyterLab with GPU acceleration.
While it only includes 8GB of RAM and 256GB of storage out of the box, both are upgradeable, which means you can scale up your system as your needs grow.
The build quality is premium, with a durable aluminum chassis and a beautiful 15.6-inch display.
Whether you’re studying AI, doing part-time freelance work, or transitioning into full-time development, the Blade 15 provides the right blend of portability, upgradability, and raw computing muscle to support your journey.
If you’re stepping into the AI space and want something capable yet budget-friendly, the ASUS VivoBook K571 hits a sweet spot.
It’s powered by an Intel Core i7 processor and NVIDIA GTX 1650 graphics, which gives you enough power to train smaller models, run simulations, or experiment with various machine learning frameworks.
With 1TB of storage, you also won’t run out of space when storing datasets, scripts, or libraries.
Although it comes with 8GB RAM, the system performs well for beginner to intermediate-level AI workloads and multitasking.
The display is sharp and bright, and the keyboard is comfortable for long coding sessions.
While it may not handle extremely heavy GPU training jobs, it’s more than capable for learners, students, or entry-level professionals exploring neural networks, AI ethics, or NLP models.
For under budget, this VivoBook delivers far more than expected ideal for those starting out.
The Microsoft Surface Book 2 blends power, portability, and premium build quality making it a top-tier option for AI developers who value versatility.
It’s equipped with a capable Core i7 processor and a dedicated NVIDIA GTX 1050 GPU, which allows it to perform well in AI development environments like TensorFlow and Azure ML Studio.
The 13.5-inch display is crisp and touch-enabled, perfect for interactive visualizations, quick sketches, or note-taking with a stylus.
While the 8GB RAM and 1.9GHz base speed might seem modest, its seamless integration with Microsoft’s ecosystem and incredible portability make it a productivity beast.
It also doubles as a tablet useful for presentations, whiteboarding, or reading research papers.
Surface Book 2 is best suited for professionals and educators who need a dependable, multifunctional machine for AI development, teaching, and mobile workspaces without compromising on quality or battery life.
Conclusion
There you have it the top 5 best laptops for AI and machine learning. Whether you’re working with TensorFlow, Keras, Scikit-learn, or simply experimenting with AI algorithms, these machines will support your journey.
If you’re just starting out, the ASUS VivoBook is a great budget option. Need professional smoothness? Go for the MSI P65. But for the best all-round performance and value, I highly recommend the Zephyrus G14.
Got any questions or still can’t decide which one’s right for you? Drop your thoughts in the comments I respond to every single one!
If you want to brush up on some skills or learn new ones, MasterClass offers a good way to do just that. The streaming service has hundreds of classes taught by professionals and experts in their fields, and now you can get a subscription for 50 percent less than usual. All MasterClass membership tiers are on sale right now, so you can sign up for as low as $5 per month.
With a subscription, you could watch a class on writing taught by James Patterson, or learn cooking techniques from Thomas Keller. If you’re trying to impress at your next pickup basketball game you could learn about shooting, ball-handling and scoring from Steph Curry. Each class includes around 20 video lessons that run about 10 minutes long on average, as well as an in-depth workbook.
MasterClass
A MasterClass subscription is 50 percent off during this Labor Day sale.
MasterClass has also begun producing some original series for its platform. The series Business Rebels features different CEOs walking viewers through the strategies that helped them disrupt their industries. One entitled Skin Health features top dermatologists and a cosmetic chemist walking viewers through keeping their skin healthy through cleansing routines and specific beauty products.
The wide range of skills or life lessons you could learn through these classes is why MasterClass is on our list of best subscriptions you can give as gifts. Maybe your loved one who loves to host dinner parties could use some tips from Gordon Ramsay.
There are three subscription tiers for MasterClass that each differ only in how many devices they allow at one time, and whether offline videos are supported. The Standard subscription only supports one device, whereas the Plus subscription allows two. These are normally $10 and $15 per month, respectively, and neither offers offline mode. The Premium tier, which carries a regular price of $20 per month, allows up to six devices and features offline mode for downloaded classes.
All three tiers are part of the 50 percent off sale, which marks them down to $5, $8 and $10 respectively. MasterClass bills annually, so be sure to calculate the total from the “monthly” price before deciding.
Software engineer Jeff Schomay has been experimenting with techniques to transform game visuals using artificial intelligence-powered rendering. In a recent blog post, he shared screens from his Thunder Lizard “old-school ASCII RPG style game” and you can see various AI models reconstructing the title’s basic character-based visuals into far plusher full-motion graphics. However, there are quite a few compromises needed to achieve a ‘playable’ 10fps and 1ms latency AI visual enhanced game.
The current game
You can play Thunder Lizard, using the current ASCII rogue-like engine visuals, right now, via that link. In brief, you use the cursor keys to navigate around the prehistoric landscape while attempting to catch and east smaller dinosaurs, while avoiding larger ones. You grow as you eat smaller prey, but you have to flourish enough to become the most powerful dinosaur before the volcano destroys the entire landscape.
Wouldn’t this game be more fun with snazzy pixel art visuals? Schomay must have thought so, too. And you can see various samples of AI-rendered alternatives to the ASCII throughout his blog post.
Cake and eat it – not possible
As Schomay put it in his blog post, there is a “need for speed” in gaming, that isn’t yet met by many AI renderers. At least concerning what is available to indie devs.
We get to see some fantastic looking prehistoric landscape renderers, which would really add something to Thunder Lizard. However, the software engineer couldn’t coax better than “a four-second latency, it was unplayable” from the most handsome AI game graphics renderer.
The compromise
You can read much more about Schomay’s efforts with various AI models in the linked blog, but for actual playability the choice was ultimately Fal.ai. This model beat the other contenders for its “very fast generation times, source image adherence, and decent look and feel,” according to the software engineer.
Though what you see is an (AI) engine capable of just 10fps and 1ms latency, it’s the best option, according to Schomay’s efforts, in this case.
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Pixel peepers might feel a little let down by the chosen AI visuals, which eventually won out. However, Schomay ends his blog on an upbeat note, stating that “it is amazing to see AI image generation happen in real-time.” He is also excited about the future, but hopes some strides can be made in frame to frame consistency.
We’ve previously reported on the use of AI in developing and enhancing games and graphics. Nvidia shared a lot of RTX technology reliant AI-enhanced development tool information earlier this year.
Labor Day sales include a decent number of Apple devices this year, from big to small. AirTags are among the latter; you can pick up a four-pack of the Bluetooth trackers for only $70 right now. That’s only about $5 more than the pack’s record-low price, and it’s one of the best prices we’ve seen all year.
For Apple users, AirTags offer some large advantages over rival trackers. The ultra-wideband functionality offers precise tracking with iPhones less than five years old, so you can narrow your search between a couch and love seat in the same room. Over larger distances, the AirTag network enabled by all Apple device users lets you track down an object you might have misplaced in a café.
Apple
Apple’s AirTag 4 pack is on sale at Amazon for one of the lower prices we’ve seen outside the big sales.
It offers a simple coin-sized design and seamless experience thanks to the Find My app. You can also force an AirTag to emit a chime to help you home in an object’s location, and and that sound is nice and loud to better help you locate it.
It does lack a built-in keyring like rival trackers, so you’ll need to pay an extra for that. And it works best with Apple devices, so Android users may want to look at trackers from Chipolo or Pebblebee that use Google’s Find My Device network. However, if you’re in Apple’s ecosystem and have been waiting for a discount, now is the time to act.
Check out our coverage of the best Apple deals for more discounts, and follow @EngadgetDeals on X for the latest tech deals and buying advice.
