msecore

msecore Mini AI PC

Name: msecore Mini AI PC - 14th Gen Intel Core i9-14900F 24-Core Processor, 64GB DDR5 RAM, 4T PCIE 4.0 SSD, GeForce RTX 4070 12GB GDDR6 Graphics, WiFi 6e
Brand: msecore
SKU: B0DH248JWG

Status: msecore Mini AI PC - 14th Gen Intel Core…: Unavailable on Amazon as of 2026-10-30 22:15 UTC. SpecPicks has no in-stock listing with matching specs on file; the search below lists current offers. eBay sellers may still list this model new or used.

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Bottom line: The msecore Core i9-14900F / RTX 4070 prebuilt has 12GB of graphics memory and 64GB of DDR5 RAM.

Unavailable on Amazon as of 2026-10-30 22:15 UTC

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Currently unavailable on Amazon. Not the same product — 3 in-stock alternatives:

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Original listing (currently unavailable) → Compare to similar processors

By Mike Perry, Founder & Editor-in-Chief · Listing data updated 2026-10-30

Mike Perry — Hardware researcher since 2014, focused on GPU performance across gaming, rendering, and local-LLM inference. Synthesises community benchmarks, manufacturer specs, and public forum data into actionable buying guides. About the author →

Pros & Cons

Pros

✓ Pairs a Core i9-14900F processor with GeForce RTX 4070 12GB graphics
✓ 64GB of DDR5 RAM leaves headroom for gaming alongside streaming or creative apps

Cons

✗ Price, stock, shipping and returns are set by the retailer and may have changed since this page was last updated

Manufacturer description

About this item 【Comes with 14th Gen CPU】This mini computer is equipped with a powerful Core i9-14900F processor. 24 cores, 32 threads, 36M cache. Processor operating frequency is upto 5.8GHz. With more cores and threads, it has a greater advantage in multitasking. Core i9-14900F is more powerful than Ryzen 9 7900X and M3 Max processor. This mini PC could be used for video editing, AI tasks, music production, video surveillance, graphics design, CAD, video gaming and industry use. It can handle these tasks with ease. 【Powerful GPU for AI PC】Equipped with a GeForce RTX4070 12GB GDDR6X video…

SpecPicks Verdict

SpecPicks scored msecore Mini AI PC using a rating × review-volume × price-fit model applied to our editorial and benchmark analysis across the processors category. msecore's processors lineup sits within the broader category mid-tier; price and specs are the deciding factors over brand loyalty here. Judge it on the specification table and the price rather than on sentiment: check the figures that decide your use case, then put it side-by-side with two or three close alternatives in the Compare tool before clicking through.

Common buyer scenarios for processors of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the retailer's listing before purchase. Prices and stock are set by the retailer and may have moved since this page was last updated.

Key Features

【Comes with 14th Gen CPU】This mini computer is equipped with a powerful Core i9-14900F processor. 24 cores, 32 threads, 36M cache. Processor operating frequency is upto 5.8GHz. With more cores and threads, it has a greater advantage in multitasking. Core i9-14900F is more powerful than Ryzen 9 7900X and M3 Max processor. This mini PC could be used for video editing, AI tasks, music production, video surveillance, graphics design, CAD, video gaming and industry use. It can handle these tasks with ease.
【Powerful GPU for AI PC】Equipped with a GeForce RTX4070 12GB GDDR6X video card, support 3rd gen Raying Tracing Core and 4th gen Tensor Core. Ray tracing simulates the properties of real-world light, allowing you to experience stunning detail in virtual worlds like never before. In applications such as live streaming, video chat, image generation, and video editing, the 4th gen Tensor Core (AI) can provide more intelligent, personalized, and efficient results.
【High Speed DDR5 RAM& PCIE4.0 SSD】This mini PC supports dual DDR5 RAM, one M2 2280 PCIE 4.0 SSD and support to add double 2.5 inch SATA HDD/SSD. This one is pre-installed with 64G DDR5 RAM, 4T PCIE 4.0 SSD. DDR5 RAM is 1.75 times faster than DDR4 RAM. PCIE4.0 SSD is double faster than PCIE3.0 SSD. More memory allows you to load models with a larger number of parameters. 64GB of memory is sufficient for most AI applications.
【Rich Ports, Four Display Support】4* USB3.2, 4* USB2.0, 2* Gigabit LAN, 1* Optical, 1* HDMI, 3* DisplayPort, 2* Wi-Fi ports. You could install the antenna on the Wi-Fi ports to enhance the signal. Built-in with AX210 module, support Wi-Fi 6e wireless gigabit ethernet and Bluetooth 5.3. Dual LAN and Optical support you more use purposes.
【Compact Design】The product size is 270* 215* 55MM (10.6* 8.5* 2.2inch), it's small and will not take too much space on the desktop, making your desktop more tidy. It is also convenient for you to carry it out on trip. We provide two years hardware warranty (not including the humen damage) and lifetime technicial support. If you have any questions, feel free to contact us.

Full Specifications

UPC	747649916278
ASIN	B0DH248JWG
Brand	msecore
Language	English
RAM Type	DDR5 RAM
CPU Model	Core i9
CPU Speed	5.8 GHz
Cache Size	36 MB
Model Name	MV300
Resolution	7680x4320
Style Name	64G+4T SSD
Item Weight	5.5 Kilograms
Aspect Ratio	169
Display Type	LED
Manufacturer	MSECORE
Model Number	MV300
Video Output	HDMI, DisplayPort
Built-In Media	Mini PC
Cooling Method	Air
Item Dimensions	10.6 x 8.4 x 2.16 inches
Full listing title	msecore Mini AI PC - 14th Gen Intel Core i9-14900F 24-Core Processor, 64GB DDR5 RAM, 4T PCIE 4.0 SSD, GeForce RTX 4070 12GB GDDR6 Graphics, WiFi 6e, 8K, Four Display, Windows 11 Pro

Performance Data

View gaming FPS, AI inference throughput, and synthetic scores for the GeForce RTX 4070 — the core hardware component in this product. Benchmarks sourced from TechPowerUp, PassMark, and the r/LocalLLaMA community.

Which local LLMs fit in 12 GB?

12 GB holds models up to about 14B at Q4 with a usable context window; above that band the weights spill to system RAM and system-RAM bandwidth sets the speed, not the GPU.

✅ 7–9B models (Llama 3.1 8B, Qwen 3 8B) — fits at Q4
✅ 12–14B models (Qwen 3 14B, Phi-4) — fits at Q4
❌ 20–27B models (Gemma 3 27B, Mistral Small) — needs 20 GB+
❌ 30–35B models (Qwen 3 32B, QwQ 32B) — needs 24 GB+
❌ 70B models (Llama 3.3 70B, Qwen 2.5 72B) — needs 48 GB+

Across 11 community runs from 9 sources, the GeForce RTX 4070 generates a median 78 tok/s on 7–9B models at Q4 (per llama.cpp GitHub (Vulkan scoreboard)).

Per-model VRAM guide: which GPU for which LLM →

Benchmark data for other processors

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Amazon shows no buyable offer for msecore Mini AI PC - 14th Gen Intel Core… at the last check. A similar in-stock product is Acer Nitro 60 N60-640-UR25 Desktop. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.

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