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Laptops

High-VRAM gaming and developer laptops capable of running local language models, plus MacBooks for on-device unified-memory inference.

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2026-05-23
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Laptops

5 products in Laptops
Lenovo Legion Pro 7i Gen 10, 16-inch RTX 5090 gaming laptop with RGB keyboard, product photograph
BEST FOR LOCAL LLM EDITOR'S PICKNEW
LENOVOLAPTOPS

Legion Pro 7i Gen 10 (16-inch, RTX 5090)

A 24GB VRAM RTX 5090 laptop that runs 30B parameter models locally in 4-bit without choking, and trains LoRA adapters on consumer datasets overnight.

  • Intel Core Ultra 9 275HX, 24 cores
  • NVIDIA RTX 5090 Laptop GPU, 24GB GDDR7, up to 175W TGP
  • 32GB or 64GB DDR5-5600 (configurable)
  • 1TB or 2TB PCIe Gen4 NVMe SSD
  • 16-inch WQXGA OLED, 240Hz, 500 nits, Wi-Fi 7
AI USELocal LLMs up to 30B 4-bit quantized, Claude Code at full speed, Stable Diffusion XL, LoRA fine-tuning on 7B-13B models.
$3,199 to $3,999
STREET
View on Amazon
#local-llm#claude-code#stable-diffusion#fine-tuning
ASUS ROG Strix SCAR 18 (2026) G835, product photograph
BEST FOR LOCAL LLMNEW
ASUSLAPTOPS

ROG Strix SCAR 18 (2026) G835

An 18-inch mobile workstation with a 24GB RTX 5090 and up to 128GB of DDR5, which means you can hold a full 70B model in system RAM and stream layers to the GPU for hybrid inference.

  • Intel Core Ultra 9 290HX Plus, 24 cores
  • NVIDIA RTX 5090 Laptop GPU, 24GB GDDR7, 175W TGP
  • Up to 128GB DDR5-6400 (64GB + 64GB SO-DIMM)
  • Up to 8TB SSD (4TB + 4TB)
  • 18-inch 4K Mini LED, 240Hz, 1600 nits peak, 2000+ dimming zones
AI USELocal LLMs up to 30B fully on GPU, 70B with CPU offload, Stable Diffusion 3.5, multi-day fine-tuning runs with adequate thermals.
$3,899 to $5,499
ASUS.COM
Visit ROG site
#local-llm#fine-tuning#workstation
Razer Blade 18 (2026), 18-inch RTX 5090 laptop with Chroma RGB keyboard and Razer logo display, product photograph
NEW
RAZERLAPTOPS

Blade 18 (2026)

Razer's flagship configures up to 128GB DDR5 alongside the 24GB RTX 5090, putting it in the same hybrid-inference tier as the SCAR 18 but in a sleeker CNC aluminum chassis.

  • Intel Core Ultra 9 290HX Plus, 24 cores, 5.5 GHz boost
  • NVIDIA RTX 5090 Laptop GPU, 24GB GDDR7, 200W thermal budget
  • Up to 128GB DDR5-6400
  • 1TB to 2TB SSD
  • 18-inch dual-mode display (UHD+ 240Hz or FHD+ 440Hz), Thunderbolt 5
AI USELocal LLMs 30B on GPU, 70B with CPU offload, Stable Diffusion workflows, on-the-road agent development.
$3,999 to $6,999
RAZER.COM
Visit Razer site
#local-llm#claude-code#workstation
Apple MacBook Pro M5 Max, product photograph
EDITOR'S PICKNEW
APPLELAPTOPS

MacBook Pro M5 Max (14-inch and 16-inch)

Up to 128GB of unified memory at 614 GB/s makes the M5 Max the most capable consumer laptop for fitting larger LLMs entirely in memory, and the silent thermals run for hours on battery.

  • Apple M5 Max, 18-core CPU (6 efficiency + 12 performance)
  • 32-core GPU with hardware ray tracing and Neural Engine
  • Up to 128GB unified memory, 614 GB/s bandwidth
  • Up to 8TB SSD, 14.5 GB/s read/write
  • 14.2-inch or 16.2-inch Liquid Retina XDR, Wi-Fi 7, Thunderbolt 5
AI USELocal LLMs up to 70B 4-bit via MLX or llama.cpp, on-device whisper transcription, MLX fine-tuning of 7B-13B models, Claude Code on battery for hours.
$3,599 to $7,199
APPLE.COM
View on Amazon
#local-llm#claude-code#unified-memory#battery-life
Framework Laptop 16 with RTX 5070 graphics module, product photograph
EDITOR'S PICKNEW
FRAMEWORKLAPTOPS

Laptop 16 with RTX 5070 Graphics Module

The only modular laptop where the GPU is a user-swappable cartridge, so when the RTX 6070 module ships you upgrade the laptop, not replace it.

  • AMD Ryzen AI 7 350 or Ryzen AI 9 HX 370
  • NVIDIA RTX 5070 Laptop GPU module, 8GB or 12GB GDDR7, 100W TGP on AC
  • 16GB to 64GB DDR5-5600 (user upgradeable)
  • 512GB to 2TB NVMe SSD, modular expansion cards
  • 16-inch 2.5K 165Hz IPS, swappable input deck
AI USELocal LLMs 7B-13B 4-bit, Stable Diffusion 1.5 and SDXL, light fine-tuning with LoRA, agent prototyping with a repairability-first hardware story.
$2,149 to $3,199
FRAME.WORK
Visit Framework
#local-llm#modular#claude-code

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