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Dr.W 4.2K Views
Oct 29, 2026 6:32 AM

HP OmniBook X: 14" 3K 120Hz OLED Touch, RTX Spark N1X 20-core, 64GB LPDDR5x-9400, 2TB SSD $3499.99

$3,500

$4,380

20% off
Micro Center
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Deal Details
Available In-Store Only:SPECS:
  • NVIDIA RTX Spark N1X 20-core Processor
  • NVIDIA Blackwell RTX 6144-core GPU
  • 14" 3K OLED Touchscreen up to 120Hz Display
  • 64GB LPDDR5X-9400 Unified Memory
  • 2TB PCIe Gen4 NVMe M.2 SSD
  • 3.77 lbs. (1.71 kg)
  • Windows 11 Home
  • 2x2 Wireless LAN WiFi 7 (802.11be), Bluetooth 6.0
https://www.microcenter.com/produ...led-laptop
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Deal Details
Community Notes
About the Poster
Available In-Store Only:SPECS:
  • NVIDIA RTX Spark N1X 20-core Processor
  • NVIDIA Blackwell RTX 6144-core GPU
  • 14" 3K OLED Touchscreen up to 120Hz Display
  • 64GB LPDDR5X-9400 Unified Memory
  • 2TB PCIe Gen4 NVMe M.2 SSD
  • 3.77 lbs. (1.71 kg)
  • Windows 11 Home
  • 2x2 Wireless LAN WiFi 7 (802.11be), Bluetooth 6.0
https://www.microcenter.com/produ...led-laptop

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7 Comments

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Oct 29, 2026 12:50 PM
15 Comments
Joined Mar 2025
Christwithin006Oct 29, 2026 12:50 PM
15 Comments
Well if you wondered where all the ram went, they put it all in this machine...
3
Oct 29, 2026 2:07 PM
213 Comments
Joined Oct 2026
BraveTest551Oct 29, 2026 2:07 PM
213 Comments
LPDDR5x-9400 comes soldered to the board, so 64GB is this laptop's ceiling for its whole life.
4
Pro
Oct 29, 2026 3:30 PM
3.5K Comments
Joined Nov 2010
Elon69
Pro
Oct 29, 2026 3:30 PM
3.5K Comments
Quote from BraveTest551 View quoted comment :
LPDDR5x-9400 comes soldered to the board, so 64GB is this laptop's ceiling for its whole life.
Correct. the 128GB is around $4200 when HP had a coupon but no more.
Oct 29, 2026 6:46 PM
1.8K Comments
Joined Aug 2011
superstealsOct 29, 2026 6:46 PM
1.8K Comments
noob question- what can this do in terms of locally hosted llm? In terms of tokens for large models (wondering if I can use this as llm host for work where we don't want to send data to cloud).
Primary usage will be internal integration with automated jobs that handle sensitive data, coding assistant usage, potential internal application development

Max 4-5 parallel users
Oct 30, 2026 1:11 PM
9 Comments
Joined Dec 2021
digital05Oct 30, 2026 1:11 PM
9 Comments
Quote from supersteals View quoted comment :
noob question- what can this do in terms of locally hosted llm? In terms of tokens for large models (wondering if I can use this as llm host for work where we don't want to send data to cloud).
Primary usage will be internal integration with automated jobs that handle sensitive data, coding assistant usage, potential internal application development

Max 4-5 parallel users
This machine should be able to run Qwen 3.8 27b at q8 with full context. You can see here how it compares to GPT 6 Luna: https://openrouter.ai/compare/ope...wen3.8-27b.

tl;dr: Unless privacy is an absolute must, you will be far better off with a $20 ChatGPT subscription.
1
Oct 30, 2026 11:41 PM
402 Comments
Joined Feb 2011
KevmandoOct 30, 2026 11:41 PM
402 Comments
Quote from Christwithin006 View quoted comment :
Well if you wondered where all the ram went, they put it all in this machine...
Sam Altman missed the comment..
1
Pro
Oct 31, 2026 2:57 PM
3.5K Comments
Joined Nov 2010
Elon69
Pro
Oct 31, 2026 2:57 PM
3.5K Comments
Quote from supersteals View quoted comment :
noob question- what can this do in terms of locally hosted llm? In terms of tokens for large models (wondering if I can use this as llm host for work where we don't want to send data to cloud).
Primary usage will be internal integration with automated jobs that handle sensitive data, coding assistant usage, potential internal application development

Max 4-5 parallel users
Too slow with 300GB memory bandwidth, you looking to share maybe 20 tokens per second max for Qwen 3.8 27B?

google: Token Generation: On the dense 27B variant of Qwen 3.8, inference speeds typically range around 13.4 to 27+ tokens per second, depending on the quantization level (e.g., Q4_K_M), inference engine (llama.cpp, SGLang, or vLLM), and whether speculative decoding like DFlash is enabled.

Divide the 20 tgs amongst the users and that's gonna be your max speed simultaneously.

This is for larger LLM, but then they get slower and slower based on foot-print.


If you are just running Qwen 3.8 27B, you're better off with AMD R9700 32GB on linux/vllm which can reach 150+ tps and better throughput for sure. But that's limited to 32GB VRAM on a single card but it's just $1700 for the card.

If you are running larger models and have a real need, you may not be asking and looking for this device.

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