Lambda Labs Machine Learning and Gaming Laptop, Intel i7, 64GB ram, 2TB SSD,

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Item specifics

ConditionNew: A brand-new, unused, unopened, undamaged item in its original packaging (where packaging is ... Read moreabout the conditionNew: A brand-new, unused, unopened, undamaged item in its original packaging (where packaging is applicable). Packaging should be the same as what is found in a retail store, unless the item is handmade or was packaged by the manufacturer in non-retail packaging, such as an unprinted box or plastic bag. See the seller's listing for full details. See all condition definitionsopens in a new window or tab ProcessorIntel Core i7 11th Gen.Graphics Processing TypeDedicated GraphicsMPNLambda Labs PC50HSMost Suitable ForGaming, Workstation, AI TrainingSSD Capacity2 TBItem Length9.37"GPUNVIDIA Corporation / Mesa Intel UHD Graphics ( TGL GT1 )Release Year2021Item Height0.78"Hard Drive Capacity2 TBOperating SystemUbuntu 20.04.4 LTS 64-bitFeatures10/100 LAN Card, Backlit Keyboard, Bluetooth, Built-in Microphone, Built-in Webcam, Force Touch Trackpad, Wi-FiItem Width14.07"Screen Size15.6 inRAM Size64 GBColorBlackProcessor Speed2.30 GHzBrandLambda LabsSeriesLambda Labs TensorbookTypeNotebook/LaptopMaximum Resolution1920 x 1080ModelPC50HSConnectivityMini DisplayPort, HDMI, USB 3.2, Thunderbolt 4Storage TypeSSD (Solid State Drive)Item Weight4.39lbs

This is a thin/light AI Training or gaming laptop (4.39lbs) that has the following specs:
Specifications
Hardware
  • 15.6” 1080P 144Hz display
  • NVIDIA Corporation / Mesa Intel UHD Graphics (TGL GT1)
  • Intel i7-11800 Processor (8 cores, 2.3GHz to 4.6GHz)
  • 64GB DDR4 memory
  • 2 TB SSD storage
  • Killer Wifi6 AX1650/Bluetooth 5.0
  • 1080p webcam
  • The laptop is Brand New never opened  

Software

  • Ubuntu Linux 20.04 LTS 
  • Lambda Stack with PyTorch, TensorFlow, CUDA, cuDNN, and NVIDIA Drivers

About Lambda

Founded and led by deep learning engineers, Lambda provides deep learning infrastructure including a GPU cloud service, on-prem servers, GPU clusters, GPU workstations, and GPU laptops to customers such as Intel, Microsoft, Google, Amazon Research, Tencent, Kaiser Permanente, MIT, Stanford, Harvard, Caltech, and the Department of Defense.

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