TENSORBOOK

Technical Specifications

GPU

NVIDIA® RTX™ 3080 Max-Q

VRAM

16 GB GDDR6

CPU

Intel Core i7-11800H

RAM

64 GB 3200 MHz DDR4

Storage

2 TB NVMe PCIe 4.0

Display

165 Hz 1440p 15.6"

Input / Output

One UHS-III SD Card Reader

One Kensington Lock Port

Two Thunderbolt™ 4 Ports (USB-C)

One Power Port

Three USB3.2 Gen 2 Type-A Ports

One Microphone Combo Jack

One HDMI 2.1

Networking

WiFi 6E
Bluetooth 5.2

Battery

80-watt-hour LiPo

Charging

230 W via Power Port
100 W via Thunderbolt 4

Width

35.5 cm

Depth

23.5 cm

Height

1.69 cm

Tensorbook Top Wireframe

Mass

2.02 kg

Webcam

1080p

Training Benchmarks

Up to 10x faster than Google Colab

Up to 4x faster than Apple M1 Max

  1. Testing conducted by Lambda in March 2022 using a production Tensorbook, 16-inch MacBook Pro system with Apple M1 Max with a 32-core GPU and 64GB RAM, Google Colab instance running a K80 GPU, and Google Colab+ instance running on a P100 GPU. Tensorbook running Ubuntu 20.04.4, TensorFlow 2.7.0, Nvidia driver r510, CUDA 11.1. MacBook Pro running MacOS 12.2, TensorFlow 2.7.0. Google Colab instances running Ubuntu 18.04.5, TensorFlow 2.8.0, Nvidia driver r460, CUDA 11.2. Performance tests are conducted using specific computer systems and reflect the approximate performance of Tensorbook.
  2. Throughput benchmark of ResNet50v2 on a 224x224 input with any batch size, allowing for XLA and mixed precision datatypes.
  3. Throughput benchmark of distilbert-base-uncased on a 128 length input with any batch size, allowing for XLA and mixed precision datatypes.