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Mar. 27, 2025 / LLM Hardware News
14-Minute Wait?! $10K Mac Studio Crawls with DeepSeek 671B + llama.cpp
We took a closer look at how the top-tier M3 Ultra fares when running the colossal DeepSeek V3 671B parameter model using the popular llama.cpp inference engine. The results paint a picture of impressive capability tempered by significant performance considerations.
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Mar. 26, 2025 / LLM Hardware News
Buying a GPU for LLMs in March 2025? Read This First!
This analysis breaks down GeForce GPUs based on their ability to run an 8B model in 4-bit quantization (Q4_K_M) while considering MSRP vs. retail pricing in March 2025. Our key metric is tokens per second per dollar.
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Mar. 26, 2025 / LLM Hardware News
Nvidia’s G-Assist is Using Llama 3.1 with Llama.cpp – Here’s the Proof!
While Nvidia’s official materials emphasize its gaming-focused features, we dug deeper into its actual implementation. Surprisingly, G-Assist is powered by Llama 3.1 8B and runs locally using Llama.cpp.
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Mar. 26, 2025 / LLM Hardware News
How Much VRAM Does Nvidia G-Assist Use While Gaming?
Today, we're diving deep into G-Assist’s technical implementation, its model, and, most importantly, its impact on VRAM usage during gaming sessions.
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Mar. 25, 2025 / LLM Hardware News
How Fast is Mac Studio M3 Ultra Running the New DeepSeek V3 LLM?
The benchmarks were conducted using MLX and DeepSeek-V3-0324 in 4-bit quantization on a Mac Studio with an M3 Ultra. At 16K tokens, memory usage peaked at 466GB, demonstrating Apple’s advantage in handling large models locally.
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Mar. 23, 2025 / LLM Hardware News
96GB VRAM LLM PC Build Under $10K? RTX Pro 6000 vs. Dual 48GB 4090-Which Wins?
While NVIDIA’s newly announced RTX Pro 6000 offers a straightforward 96GB VRAM solution, , a new wave of modified RTX 4090 from China - offering 48GB per card - has emerged as a potential alternative.
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Mar. 21, 2025 / LLM Hardware News
NVIDIA Just Made the RTX 5090 Look Weak for LLM – Meet the RTX Pro 6000!
The RTX Pro 6000, has arrived with a spec sheet that firmly cements it as a Titan-class card. With its high core count, extensive memory capacity, the RTX Pro 6000 stands as a serious competitor to the RTX 5090
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Mar. 20, 2025 / LLM Hardware News
RTX PRO 6000 GPU Can Run 70B LLM Models – But There’s a Catch!
With 96GB of GDDR7 memory, 1.79 TB/s memory bandwidth, RTX PRO 6000 is the first single-card workstation GPU capable of fully loading an 8-bit quantized 70B model such as LLaMA 3.3.
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Mar. 19, 2025 / LLM Hardware News
$3,000 for THIS? NVIDIA’s DGX Spark Faces Tough Competition
With a starting price of $2,999 (though the Founders Edition is listed at $3,999), the DGX Spark aims to democratize access to high-memory compute for local AI inference.
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Mar. 18, 2025 / LLM Hardware News
The First Mini-PC to Run 70B LLMs Locally: GMK EVO-X2 Unveiled
The GMK EVO-X2, which was recently showcased at AMD’s "ADVANCING AI" Summit, is designed to meet this need, packing impressive AI processing capabilities into a small form factor.
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Mar. 17, 2025 / LLM Hardware News
How Fast Will a Ryzen AI MAX+ 395 (Strix Halo) System Be for LLM Inference?
AMD’s Ryzen AI MAX+ 395 (Strix Halo) brings a unique approach to local AI inference, offering a massive memory allocation advantage over traditional desktop GPUs like the RTX 3090, 4090, or even the upcoming 5090..
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Mar. 15, 2025 / LLM Hardware News
$10,000 Mac Studio Destroys NVIDIA in AI Battle?! Run Massive LLMs at HOME!
The world of local AI has just been flipped on its head, and you won’t BELIEVE which tech giant is leading the charge! Forget cramming multiple power-hungry NVIDIA GPUs into your rig just to touch the edge of massive language models. Apple’s brand new Mac Studio with the M3 Ultra chip is here, and it’s...
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Feb. 20, 2025 / LLM Hardware News
NVIDIA Limits RTX 50 Sales: Impact on Local LLM & AI Enthusiasts
NVIDIA appears to be taking steps to manage the supply of its next-generation GPUs, potentially in response to continued shortages and pricing concerns.
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Sep. 15, 2024 / Desktops computers
How to Identifying Your Graphics Card
In the ever-evolving landscape of PC hardware, the graphics processing unit (GPU) stands as a cornerstone of system performance, particularly for gaming and content creation. However, many users find themselves at a loss when it comes to identifying the exact model residing in their machine. We’ll begin with the most straightforward method, leveraging built-in operating...
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Sep. 15, 2024 / Help and FAQ
Can Llama 3.1 Generate and Interpret Images?
No, Llama 3.1 cannot directly generate or interpret (Vision model) images in its current official open weights versions (8B , 70B, and 405B). The Llama 3.1 models released by Meta are primarily language models designed for tasks like text generation, reasoning, and classification with advanced language understanding capabilities. These models have features such as multilinguality,...
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Jan. 10, 2024 / Desktops computers
How to Increase the VRAM of Your Mac with Apple Silicone for LLMs?
It is surprisingly straightforward to increase the VRAM of your Mac (Apple Silicone M1/M2/M3 chips) computer and use it to load large language models. Here’s the rundown of my experiments. For 32 GB RAM Mac model I recently experimented with a 32GB MacBook Pro equipped with an M1 Pro chip, attempting to load a 24GB...
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Jan. 3, 2024 / General topics
Why Install and Host Large Langue Model on your Computer
I saw questions on couple of places about hosting your own LLM and thought I’d chime in with my two cents. Hosting your own Large Language Model (LLM) is pretty cool for a couple of reasons. Privacy is a big one for many folks. If you’re working with sensitive data, you definitely don’t want to...
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Dec. 2, 2023 / LLM Hardware News
Maximize Efficiency in LLM Training: New Software Offers 80% Speed Increase with 50% Less Memory
The new AI startup Unsloth has unveiled its latest product, targeted toward the field of Large Language Model (LLM) training. Their flagship software, promises an astounding 30x faster training speed for LLMs, with a substantial 60% reduction in memory usage, and no compromise on accuracy. This method is set to transform how AI models are...
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Nov. 4, 2023 / Desktops computers
What Is The Right LLM For RTX 3060 (12GB)?
For those looking to run large language models like Llama-2 and Mistral, on a PC built with RTX 3060 (12GB VRAM), here’s a concise guide on what model you can run. For the RTX 3060 (12GB), you can utilize any GPTQ 7B model. Models in GGUF format can be used with up to 8-bit (Q8)...
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Jun. 7, 2023 / Help and FAQ
What is GGML Tensor library?
GGML is a C library that enables you to perform fast and flexible tensor operations and machine learning tasks. Currently, the combination between GGML and llama.cpp is the best option for running LLaMa based model like Alpaca, Vicuna, or Wizard on your personal computer’s CPU. You can use GGML converted weights (GGML or GGUF file...
