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BIZON G2000 – Compact Deep Learning, AI Computer – Up to 2 GPUs

BIZON G2000

2 GPU Compact Deep Learning Workstation

Plug-and-Play Deep Learning Workstations designed for your office. Compact size, powered by the latest NVIDIA GPUs, preinstalled deep learning frameworks.
Estimated Ship Date: 1–2 Days

Starting at $2,699

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System Core
Processor (Latest Generations Coffee Lake)

Processor (Latest Generations Coffee Lake)

Liquid Cooling

Liquid Cooling

Memory DDR4 3000MHz

Memory DDR4 3000MHz

Below are recommendations for choosing RAM size.

A Deep Learning computer should have at least as much RAM as GPU memory.

  • 2 x NVIDIA 2080 Ti GPUs: 32 GB (2 x 11 GB of 2080 Ti's memory = 22 GB minimum).
  • 4 x NVIDIA 2080 Ti GPUs: 64 GB (4 x 11 GB of 2080 Ti's memory = 44 GB minimum).
  • If you are working with large images we recommend you 128 GB of memory.
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Power Supply

Power Supply

Operating System

Operating System

You can choose multiple operating systems.
  • BIZON Z–Stack (includes Ubuntu 18.04 and latest deep learning frameworks)
    Recommended for Deep Learning. Preinstalled with the Most Powerful Deep Learning Software (including Tensorflow, Torch/PyTorch, Keras, Caffe 2.0 Caffe-nv, Theano, CUDA and cuDNN). We provide BIZON Z-Stack Tool with a user-friendly interface for easy installation and future upgrades. If a new version of any framework is released, you can upgrade with a click of a button and avoid complicated command lines.

  • Windows 10 Pro
    Operating system for wide range of tasks.

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Graphics
Graphics Card #1

Graphics Card #1

GPUs comparison:
  • 1080 Ti 11 GB: base line. (11.3 TFLOPS) Best price.

  • RTX 2080 8 GB: up to +10% performance. (10.1 TFLOPS) Latest NVIDIA Turing Architecture.

  • RTX 2080 Ti 11 GB: up to +20-30% performance (13.4 TFLOPS). Recommended for most use cases. 2018–2019 Best GPU on the market in terms of price/performance for deep learning. Latest NVIDIA Turing Architecture.

  • Titan V 12 GB: up to +30% performance. (14.9 TFLOPS)

  • RTX Titan 24 GB: up to +40% performance (16.2 TFLOPS) Recommended for training with large batch sizes and large networks. Latest NVIDIA Turing Architecture.

  • Quadro GV100 32 GB: up to +50% performance (14.8 TFLOPS)
    • Recommended for training with large batch sizes and large networks.
* TFLOPS numbers are for FP32 performance (the standard precision for deep learning training).
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Graphics Card #2

Graphics Card #2

GPUs comparison:
  • 1080 Ti 11 GB: base line. (11.3 TFLOPS) Best price.

  • RTX 2080 8 GB: up to +10% performance. (10.1 TFLOPS) Latest NVIDIA Turing Architecture.

  • RTX 2080 Ti 11 GB: up to +20-30% performance (13.4 TFLOPS). Recommended for most use cases. 2018–2019 Best GPU on the market in terms of price/performance for deep learning. Latest NVIDIA Turing Architecture.

  • Titan V 12 GB: up to +30% performance. (14.9 TFLOPS)

  • RTX Titan 24 GB: up to +40% performance (16.2 TFLOPS) Recommended for training with large batch sizes and large networks. Latest NVIDIA Turing Architecture.

  • Quadro GV100 32 GB: up to +50% performance (14.8 TFLOPS)
    • Recommended for training with large batch sizes and large networks.
* TFLOPS numbers are for FP32 performance (the standard precision for deep learning training).
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NVIDIA NVLink Bridge

NVIDIA NVLink Bridge

  • NVLink is a high-speed interconnect designed to allow multiple video cards (GPUs) to communicate directly with each other.
  • We have seen up to +15% performance increase when using NVLink with 2 x NVIDIA RTX 2080 Ti (TensorFlow) compared to the same setup without NVLink.
  • Each additional NVLink will add up to +5% performance.
  • Example: For 4 GPUs you will get up to +20% performance. Numbers are for reference only and may vary depending on many factors.
  • One NVLink per 2 GPUs. NVLink is optional.
  • Performance increase and NVLINK support depend on software support. Some application does not have NVLink support and you won't see any performance difference. Check with the developers of your application if they have implemented or plan to add NVLink support.
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Storage
HDD #1 (Operating System, Applications)

HDD #1 (Operating System, Applications)

HDD #2

HDD #2

HDD #3

HDD #3

Peripherals
Peripherals

Peripherals

Service & Support
Warranty/Support

Warranty/Support

The "Life-time Expert Customer Care with 3 / 4 / 5 Year Limited Warranty" includes the following benefits:

  • Life-time access to our expert customer support team for all kinds of computer issues.

  • Three / four / five years (depending on the option you choose) of labor free warranty service (including labor costs for part replacements, and diagnostics).

  • One / two / three years (depending on the option you choose) of direct defective part replacement service directly from BIZON's inventory. After the first / second / third year, BIZON will help replace any defective parts for the customer as long as those parts are still under warranty with the manufacture (most components are covered by 3-5 years warranty from the manufacture).
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$2,699
 
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Ports

Front panel:

2x USB 3.0, Mic, Headphone, Reset, Power button

Rear panel:

  • 1 x PS/2 keyboard (purple)
  • 1 x PS/2 mouse (green)
  • 1 x DisplayPort
  • 1 x HDMI
  • 1 x RJ45
  • 1 x USB 3.1 Gen 2 Type-A
  • 4 x USB 3.1 Gen 1 Type-A
  • 1 x USB 3.1 Gen 1 Type-C
  • 2 x Wi-Fi antenna port(s)
  • 3 x 8-channel Audio I/O
Motherboard

Asus TUF Z390M-PRO GAMING (WI-FI)

  • Intel i7, i9 CPUs (Socket–1151v2) support.
  • 3 x PCI-E slots.
  • Supports 6x SATA HDD/SSD and 2x M.2 SSD
  • Intel Z390 chipset.
CPU
Intel Core i7/i9 processor with up to 8 Cores
RAM

  • Up to 64 GB DDR4 3000 MHz
  • 4 RAM slots.
  • Dual Channel.

Note: actual RAM clock speed depends on the CPU specifications and may vary.

Expansion Slots
  • 2 x PCIe 3.0/2.0 x16 (x16, x8/x8)
  • 1 x PCIe 3.0 x1
  • 2 x PCI-Express M.2

Note: The M.2_1 socket shares SATA_2 port when using M.2 SATA mode device. Adjust BIOS settings to use a SATA device.

Storage

Intel Z390 Chipset:

  • 1 x M.2 Socket 3, with M key, type 2242/2260/2280/22110 storage devices support (SATA & PCIE 3.0 x 4 mode)
  • 1 x M.2 Socket 3, with M key, type 2242/2260/2280 storage devices support (PCIE 3.0 x 4 mode)
  • 6 x SATA 6Gb/s port(s)
  • Support Raid 0, 1, 5, 10
  • Intel Rapid Storage Technology supports
  • Intel Optane Memory Ready
  • Intel CPU with Intel Rapid Storage Technology support (RAID 0 & RAID 1)

Graphics Card
2 Nvidia Quadro/RTX/Titan graphics cards.
Onboard Audio
8-Channel Realtek ALC S1200A
Onboard LAN
1 x Gigabit Ethernet (Intel I219V)
Wireless

Wi-Fi

  • Intel Wireless-AC 9560
  • Wi-Fi 802.11 a/b/g/n/ac
  • Supports dual band frequency 2.4/5 GHz
  • Supports MU-MIMO
  • Supports channel bandwidth: HT20/HT40/HT80/HT160

Bluetooth

  • Bluetooth 5.0
Case

Case Drive Bays:

  • 2x 3.5in
  • 3x 2.5in
Cooling System
  • CPU Liquid Cooling
  • Front: 2 x 120mm low noise fans
Power Supply
  • 750W EVGA SuperNOVA Power Supply
  • 1300W EVGA SuperNOVA Power Supply (optional)
Dimensions & Weight

Case

  • Height: 15.67 inches (39.8 cm)
  • Width: 10.87 inches (27.6 cm)
  • Depth: 13.82 inches (35.1 cm)
  • Weight (empty case): 15.65 lbs (7.1 kg)

Shipping Package

  • Height: 20.0 inches (50.8 cm)
  • Width: 20.0 inches (50.8 cm)
  • Length: 20.0 inches (50.8 cm)
  • Weight: 45.0 lbs (20.4 kg)
Electrical and Operating Requirements
  • Line voltage: 100–240V AC
  • Frequency: 50Hz to 60Hz, single phase
  • Operating temperature: 50° to 95° F (10° to 35° C)
  • Operating Relative Humidity: 8% to 90% (non-condensing)
In the Box
  • Bizon G2000.
  • Power cord (USA).
  • User manual.
  • Benchmark report.
Operating System
  • BIZON Z–Stack (Ubuntu 18.04 (Bionic) with preinstalled deep learning frameworks).
  • Windows 10 Pro (optional).
Part Number
bizon-g2000-0219

All specifications are subject to change without notice. The entire materials provided herein are for reference only. Weight varies by configuration and manufacturing process. Advertised performance is based on maximum theoretical interface values from respective Chipset vendors or organization who defined the interface specification. Actual performance may vary by system configuration.

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