-
Apr. 5, 2026 / Hardware Insights
Best LLM for MacBook Pro with M5 Max and 32GB
The MacBook Pro M5 Max with 32GB unified memory sits in an interesting spot for local LLM inference. It is not a maxed out configuration, but it is the minimum tier where modern 25B to 32B class models start to feel usable for real work. This article focuses on what actually runs, what is worth...
-
Mar. 11, 2026 / LLM Hardware News
Apple M5 Max for Local LLMs: First Benchmarks vs RTX Pro 6000 and RTX 5090
Early benchmarks for the Apple M5 Max are starting to appear. Reddit user cryingneko recently posted the first local LLM tests on a 14-inch MacBook Pro with the M5 Max, configured with 128GB unified memory, 18-core CPU, 40-core GPU, and 614 GB/s memory bandwidth. For local LLM enthusiasts this configuration is interesting for one reason:...
-
Mar. 5, 2026 / LLM Hardware News
Local LLM Hardware Deal: 48GB Blackwell GPU Workstation Priced Near GPU Cost
A new workstation configuration is currently available that may interest local LLM users looking for large VRAM at a relatively low price. The Lenovo ThinkStation P3 Tower Gen 2 can be configured with an NVIDIA RTX Pro 5000 Blackwell 48GB for $4,719.87, roughly 19 percent below the listed system value of $5,827. For people building...
-
Feb. 4, 2026 / Hardware Insights
Qwen3 Coder Next 80B A3B: what it takes to run it locally
Direct answer first: Qwen3 Coder Next 80B A3B is one of the most hardware-friendly 80B-class coding models released so far. Thanks to its MoE design with roughly 3B active parameters, a single high-VRAM GPU can run it at full 256k context, and even dual consumer GPUs can handle the 3-bit version comfortably. VRAM, not raw...
-
Feb. 3, 2026 / LLM Hardware News
AI Memory Sales Hit Records, Local LLM Hardware Costs Rise
The AI hardware boom is great business for storage manufacturers, but it is quietly punishing local LLM users. Recent earnings from Samsung, SK Hynix, and SanDisk show record revenue and margins driven almost entirely by AI-focused memory. High-bandwidth DRAM and data center NAND are selling at premium prices, and production is being scaled aggressively to...
-
Jan. 26, 2026 / LLM Hardware News
Faster LLM Inference from Intel: Arc Pro B65 and B70 Raise the Memory Bandwidth Bar
Intel is preparing two new Arc Pro Battlemage GPUs, the Arc Pro B65 and Arc Pro B70, and for local LLM users the key change is not compute but memory configuration. Both cards move to a 256-bit GDDR6 memory bus paired with 32GB of VRAM, a combination that directly targets one of the main bottlenecks...
-
Jan. 22, 2026 / LLM Hardware News
An LLM-Capable RTX 5060 Ti 16GB Is Harder to Find Cheap, Except Here
The RTX 5060 Ti 16GB has quietly moved out of its original price band. A month ago, this card was easy to find around $420. Today, most US retailers list it at $550+, with some creeping toward $600. For local LLM users, that shift matters because this GPU was one of the last consumer cards...
-
Jan. 20, 2026 / LLM Hardware News
NVIDIA N1X SoC Expected This Quarter and Why Local LLM Users Should Pay Attention
NVIDIA is preparing to launch its first consumer facing Windows on Arm system on a chip that is relevant for local LLM workloads. According to supply chain reports, the NVIDIA N1X SoC is scheduled to appear this quarter, with a slightly lower tier N1 variant following later. For local LLM enthusiasts who care about memory...
-
Jan. 17, 2026 / LLM Hardware News
GPU Prices Are Rising Again: Is Now the Right Time to Buy an LLM-Capable GPU?
After a brief summer window where prices cooled and availability improved, the GPU market is tightening again. For local LLM enthusiasts, this shift is not subtle. High-VRAM cards are becoming harder to find, and prices across both new and second-hand markets are moving up. The underlying reasons are structural, not seasonal, and they point to...
-
Jan. 15, 2026 / LLM Hardware News
Local LLMs on Raspberry Pi: What the AI HAT+ 2 Can and Cannot Do
The Raspberry Pi AI HAT+ 2 is Raspberry Pi’s first serious attempt at covering the generative AI gap on the Pi 5. It pairs a Hailo-10H accelerator with 8GB of onboard LPDDR4X and targets small, fully local LLM and VLM workloads without touching the Pi’s system RAM. For local LLM enthusiasts, this is not a...
-
Jan. 14, 2026 / LLM Hardware News
DeepSeek Thinks VRAM Isn’t the Real LLM Bottleneck Anymore
The biggest bottleneck for any local Large Language Model enthusiast is Video RAM. We spend thousands of dollars on used enterprise cards or struggle with split-GPU configurations just to fit the weights of a decent-sized model into fast memory. If the model does not fit in VRAM, we fall back to system RAM offloading, which...
-
Oct. 17, 2025 / LLM Benchmarks
RTX 4090 LLM Benchmarks: Performance Across 4K – 131K Context Sizes
I tested the RTX 4090 with five quantized models to measure real-world inference performance for local LLM workloads. This is the second article in my GPU benchmark series, following my recent RTX 5090 tests. I ran these benchmarks to provide concrete performance data across different model sizes and context lengths using llama.cpp. Testing Environment My...
-
Oct. 11, 2025 / Hardware Insights
What Makes Apple Silicon and Strix Halo Good at Running Local LLMs?.
For years, the formula for running large language models locally has been simple: get as much VRAM as you can afford. This usually meant building complex, power-hungry desktop rigs with multiple GPUs or hunting for deals on used server hardware. But a new class of hardware, powered by Apple Silicon and AMD’s “Strix Halo” APUs,...
-
Sep. 18, 2025 / How to Run LLMs Localy
Memory Bandwidth: How Does It Boost Tokens per Second in Local LLM Inference?
You’ve spent weeks picking out the parts for a powerful new computer. It has a top-tier CPU, plenty of fast storage, and maybe even a respectable graphics card. You download your first large language model (LLM), excited to run it locally, only to find the experience is agonizingly slow. The text trickles out one word...
-
Sep. 16, 2025 / LLM Benchmarks
Local LLM Models and Their Max Context Windows: A Reference Table
When choosing a local LLM, one of the first specifications to check is its context window. The context size determines how many tokens you can feed into the model at once, which directly affects practical use cases like long-form reasoning, document analysis, or multi-turn conversations. For hardware enthusiasts running quantized models on limited VRAM, knowing...
-
Apr. 8, 2025 / LLM Hardware News
AMD Targets Faster Local LLMs: Ryzen AI 300 Hybrid NPU+iGPU Approach Aims to Accelerate Prompt Processing
AMD's strategy with Ryzen AI 300 and Lemonade Server attempts to change that narrative by employing a hybrid NPU + integrated GPU (iGPU) execution flow.
-
Mar. 24, 2025 / LLM Hardware News
Could This RTX 5080 24GB Be the Perfect LLM GPU for Home Users?
Leaked product listings, including an MSI promotional video and subsequent motherboard compatibility lists, have hinted at an alternative 24GB SKU of RTX 5080.
-
Mar. 24, 2025 / LLM Hardware News
NVIDIA’s Blackwell Shakeup: Who Will Be the True Successor to the P40 for Local LLMs?
In this analysis, we’ll explore the contenders for the next value king in the local LLM GPU space and examine what might drive the next wave of high-VRAM, cost-effective hardware suitable for running 70B+ models.
-
Feb. 29, 2024 / Desktops computers
Apple Silicon M2 Ultra vs. Multi RTX 3090 Setup for Running Large Language Models
The advancement of large language model (LLM) technologies demands increasingly powerful computing solutions. For running large 70B+ models, on a consumer graded hardware, there are two prominent options that have emerged – the Apple Silicon M2 Ultra and configurations utilizing multiple RTX 3090 GPUs. Each of these setups offers unique advantages and drawbacks, making the...
-
Jan. 29, 2024 / Desktops computers
RTX 4070 Series for LLMs: A Technical Guide
For enthusiasts who are delving into the world of large language models (LLMs) like Llama-2 and Mistral, the NVIDIA RTX 4070 presents a compelling option. Doubling the performance of its predecessor, the RTX 3060 12GB, the RTX 4070 is grate option for local LLM inference. Running LLMs with RTX 4070’s Hardware Key to the RTX...
