Tensorbook
Technical Specifications
GPU
NVIDIA RTX 3070 Ti
VRAM
8 GB GDDR6
CPU
Intel Core i7-12800H
RAM
32 GB 4800 MHz DDR5
Storage
Dual 1 TB NVMe PCIe 4.0
Display
240 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
Mass
2.02 kg
Webcam
1080p
Training Benchmarks
Up to 10x faster than Google Colab
Up to 4x faster than Apple M1 Max
Relative Speed Up
- 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. - Throughput benchmark of ResNet50v2 on a 224x224 input with any batch size, allowing for XLA and mixed precision datatypes.
- Throughput benchmark of distilbert-base-uncased on a 128 length input with any batch size, allowing for XLA and mixed precision datatypes.