Acemagic is offering nearly half off the price of its Matrix Mini M5 with a 16-core i7 processor, 32GB of memory, and 1TB of storage. The state of PC prices right now sucks. But if you hunt around, you can still find decent prices, at least in the context of the worst market I've ever seen. Case in point: Acemagic is offering a mini PC with a Core i7 processor, 32GB of RAM, and 1TB of storage for just $549 with a coupon -- use code at checkout! This Matrix Mini M5 is pretty typical of mini PC designs, with a 128mm (5-inch) square body that can be mounted to the back of a monitor, and it's using laptop parts.

When you purchase through links in our articles, we may earn a small commission. The GMKtec M3 Pro comes with an Intel Core i5 processor, 32GB of RAM, a 1TB SSD, and a wide range of ports. Two M.2 slots allow for storage expansion in the terabyte range The GMKtec M3 Pro is a solid office computer with decent multithreaded performance, a generous range of ports, and a high-quality chassis. However, the platform is showing its age: When it comes to graphics and AI performance, the latest Core Ultra and Ryzen AI models are clearly ahead. Mini PCs are increasingly finding their way onto desks and into living rooms.

When you purchase through links in our articles, we may earn a small commission. Affordable laptops with decent specs are getting harder and harder to find, but this refurb deal is hitting a sweet spot. Hunting for an affordable laptop is an ordeal right now. I'm sorry to all the kids who need a decent machine for college. If you need a decent laptop at a reasonable price, you might want to head over to Acer's official eBay page.

When you purchase through links in our articles, we may earn a small commission. The GMKtec EVO-T2S packs Intel's new Panther Lake CPU, complete with an Arc B390 graphics unit, into a compact mini-PC case. We tested the computer with 64GB of RAM. The GMKtec EVO-T2S demonstrates what Intel's new Panther Lake platform is capable of. The CPU, graphics unit, and memory work well together, and even games run smoothly at reduced settings.

When you purchase through links in our articles, we may earn a small commission. Microsoft silently deleted its'ideal' 32GB RAM advice for Windows 11 As RAM prices soar, Microsoft deleted Windows 11 support pages recommending 32GB of RAM--even though it still runs best with that much. Microsoft has silently removed all references to a support page that recommended lots of RAM for Windows 11. The now-deleted page stated that Windows 11 should ideally run with 32GB of RAM. The changes were first spotted by Windows Latest .

Hiroo Ota (center left), CEO of Kioxia Holdings, and others unveil Kioxia's new 3D flash memory chip at its Kitakami plant in Kitakami, Iwate Prefecture, on Friday. Kioxia Holdings has started shipping samples of its next-generation flash memory chips to artificial-intelligence data center operators, seeking to gain ground in the lucrative business against rivals. The Tokyo-based chipmaker's latest high-density 3D flash memory chips aim to better meet AI data center needs with better efficiency and transmission speeds. The 332-layer 10th-generation chips pack more data into silicon and can store 59% more data compared with its previous flagship 8th-generation chip, the company said Friday. Production will take place at the company's second manufacturing facility at its Kitakami plant in Iwate Prefecture, which began operating in September last year.

PCWorld reports that Valve's Steam Machine ships with a single 16GB DDR5-5600 SODIMM, leaving one memory slot empty and causing a 10% performance loss compared to dual-channel configurations. Users can upgrade to 32GB by adding another 16GB SODIMM for around $200, but the process requires complex disassembly as demonstrated in teardowns. The Steam Machine's high price combined with its single-stick RAM limitation makes it a questionable value proposition for gamers seeking optimal performance. Valve will sell you a Steam Machine starting today, at least if you signed up earlier this week and you have a little bit of luck. Early supplies are expected to be extremely limited, as Valve is dealing with the same hardware issues as the entire industry. It comes with just 16GB of RAM, which is a little light for a gaming desktop. But there's something you should know about it that isn't on the spec list. The Steam Machine is using semi-standard parts, at least for RAM and storage, including familiar SODIMM sticks that go into laptops.

Microsoft's budget Surface returns with 8GB RAM configurations, which PCWorld notes can cause performance issues when running multiple applications and browser tabs on Windows devices. Microsoft justifies 8GB as sufficient for basic productivity tasks and is working to optimize Windows' memory footprint, including reducing usage for features like Widgets. Apple's integrated hardware-software approach provides superior efficiency advantages over Windows devices in similar budget scenarios, offering better performance even under demanding conditions. After shipping the Surface Laptop and Pro for business customers starting at about $2,000, Microsoft has come down to earth. Microsoft is releasing a smaller Surface Laptop and Pro for under $1,000, but with a callback to the bad old days of 8GB of system memory.

Open-source foundation models have seen rapid adoption and development, enabling powerful general-purpose capabilities across diverse domains. However, fine-tuning large foundation models for domain-specific or personalized tasks remains prohibitively expensive for most users due to the significant memory overhead beyond that of inference. We introduce EMLoC, an Emulator-based Memory-efficient fine-tuning framework with LoRACorrection, which enables model fine-tuning within the same memory budget required for inference. EMLoC constructs a task-specific light-weight emulator using activation-aware singular value decomposition (SVD) on a small downstream calibration set. Fine-tuning then is performed on this lightweight emulator via LoRA. To tackle the misalignment between the original model and the compressed emulator, we propose a novel compensation algorithm to correct the fine-tuned LoRA module, which thus can be merged into the original model for inference. EMLoC supports flexible compression ratios and standard training pipelines, making it adaptable to a wide range of applications. Extensive experiments demonstrate that EMLoC outperforms other baselines across multiple datasets and modalities. Moreover, without quantization, EMLoC enables fine-tuning of a 38B model, which originally required 95GB of memory, on a single 24GB consumer GPU--bringing efficient and practical model adaptation to individual users.

As the economic and environmental costs of training and deploying large vision or language models increase dramatically, analog in-memory computing (AIMC) emerges as a promising energy-efficient solution. However, the training perspective, especially its training dynamics, is underexplored. In AIMC hardware, the trainable weights are represented by the conductance of resistive elements and updated using consecutive electrical pulses. While the conductance changes by a constant in response to each pulse, in reality, the change is scaled by asymmetric and non-linear response functions, leading to a non-ideal training dynamics. This paper provides a theoretical foundation for gradient-based training on AIMC hardware with nonideal response functions.