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BIZON X4000 – AMD Threadripper Pro 5965wx 5975wx 5995wx Processors – Unreal Engine, 8K+ Video Editing, 3D Rendering Workstation Computer

BIZON X4000 G3

8K+ video editing, rendering workstation

Powered by the latest AMD Threadipper Pro CPUs, NVIDIA GPUs, and whisper-quiet liquid cooling.
Estimated Ship Date: 1–3 Days

Starting at $4,990

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System Core
Processor (AMD Threadripper PRO 2022)

Processor (AMD Threadripper PRO 2022)

Overclocking

Overclocking

Overclocking is our recommended option, as you get a great performance boost. A more expensive processor is always much more expensive.

We offer two stages of overclocking with the guarantee of stability and reliability.

Depending on the option we will include a more advanced cooling system. We do not do extreme overclocking, which may damage the processor. Our overclocking is safe and does not affect CPU lifespan. Noise level also remains at the same level.

Having experience in building workstations, we are experts in overclocking a computer. All the results are stress-tested to make sure that the system is 100% stable and reliable.
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Liquid Cooling

Liquid Cooling

Note about rackmount case: Only air-cooling is available for a rackmount case as it provides better airflow and lower temps. If you choose CPU water-cooling, your order will be switched.
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Memory

Memory

  • DDR4 3200 MHz

  • DDR4 3200 MHz ECC/REG

Power Supply

Power Supply

Operating System

Operating System

Graphics
Graphics Card #1

Graphics Card #1

GPUs comparison:
  • RTX 4070 Ti 12 GB: base line.
    Half-precision (FP16): 40.09 TFLOPS
    Single-precision (FP32): 40.09 TFLOPS
    Double-precision (FP64): 626.4 GFLOPS

  • RTX 4080 16 GB:
    Half-precision (FP16): 48.74 TFLOPS
    Single-precision (FP32): 48.74 TFLOPS
    Double-precision (FP64): 761.5 GFLOPS

  • RTX 4090 24 GB:
    Recommended GPU for Ai/ML, deep learning in 2023.
    Half-precision (FP16): 82.58 TFLOPS
    Single-precision (FP32): 82.58 TFLOPS
    Double-precision (FP64): 1290 GFLOPS

  • RTX A4000 16 GB:
    Half-precision (FP16): 19.17 TFLOPS
    Single-precision (FP32): 19.17 TFLOPS
    Double-precision (FP64): 599.0 GFLOPS

  • RTX A5000 24 GB:
    Half-precision (FP16): 27.77 TFLOPS
    Single-precision (FP32): 27.77 TFLOPS
    Double-precision (FP64): 867.8 GFLOPS

  • RTX A6000 48 GB:
    Half-precision (FP16): 38.71 TFLOPS
    Single-precision (FP32): 38.71 TFLOPS
    Double-precision (FP64): 1210 GFLOPS

  • RTX 6000 Ada 48 GB:
    Best for training with large batch sizes and large networks.
    Half-precision (FP16): 91.06 TFLOPS
    Single-precision (FP32): 91.06 TFLOPS
    Double-precision (FP64): 1423 GFLOPS

  • NVIDIA A100 80 GB:
    Max performance and max VRAM for training with large batch sizes and large networks.
    Half-precision (FP16): 77.97 TFLOPS
    Single-precision (FP32): 19.49 TFLOPS
    Double-precision (FP64): 9746 GFLOPS

  • NVIDIA H100 80 GB:
    Half-precision (FP16): 204.9 TFLOPS
    Single-precision (FP32): 51.22 TFLOPS
    Double-precision (FP64): 25610 GFLOPS

* 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:
  • RTX 4070 Ti 12 GB: base line.
    Half-precision (FP16): 40.09 TFLOPS
    Single-precision (FP32): 40.09 TFLOPS
    Double-precision (FP64): 626.4 GFLOPS

  • RTX 4080 16 GB:
    Half-precision (FP16): 48.74 TFLOPS
    Single-precision (FP32): 48.74 TFLOPS
    Double-precision (FP64): 761.5 GFLOPS

  • RTX 4090 24 GB:
    Recommended GPU for Ai/ML, deep learning in 2023.
    Half-precision (FP16): 82.58 TFLOPS
    Single-precision (FP32): 82.58 TFLOPS
    Double-precision (FP64): 1290 GFLOPS

  • RTX A4000 16 GB:
    Half-precision (FP16): 19.17 TFLOPS
    Single-precision (FP32): 19.17 TFLOPS
    Double-precision (FP64): 599.0 GFLOPS

  • RTX A5000 24 GB:
    Half-precision (FP16): 27.77 TFLOPS
    Single-precision (FP32): 27.77 TFLOPS
    Double-precision (FP64): 867.8 GFLOPS

  • RTX A6000 48 GB:
    Half-precision (FP16): 38.71 TFLOPS
    Single-precision (FP32): 38.71 TFLOPS
    Double-precision (FP64): 1210 GFLOPS

  • RTX 6000 Ada 48 GB:
    Best for training with large batch sizes and large networks.
    Half-precision (FP16): 91.06 TFLOPS
    Single-precision (FP32): 91.06 TFLOPS
    Double-precision (FP64): 1423 GFLOPS

  • NVIDIA A100 80 GB:
    Max performance and max VRAM for training with large batch sizes and large networks.
    Half-precision (FP16): 77.97 TFLOPS
    Single-precision (FP32): 19.49 TFLOPS
    Double-precision (FP64): 9746 GFLOPS

  • NVIDIA H100 80 GB:
    Half-precision (FP16): 204.9 TFLOPS
    Single-precision (FP32): 51.22 TFLOPS
    Double-precision (FP64): 25610 GFLOPS

* TFLOPS numbers are for FP32 performance (the standard precision for deep learning training).
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Graphics Card #3

Graphics Card #3

GPUs comparison:
  • RTX 4070 Ti 12 GB: base line.
    Half-precision (FP16): 40.09 TFLOPS
    Single-precision (FP32): 40.09 TFLOPS
    Double-precision (FP64): 626.4 GFLOPS

  • RTX 4080 16 GB:
    Half-precision (FP16): 48.74 TFLOPS
    Single-precision (FP32): 48.74 TFLOPS
    Double-precision (FP64): 761.5 GFLOPS

  • RTX 4090 24 GB:
    Recommended GPU for Ai/ML, deep learning in 2023.
    Half-precision (FP16): 82.58 TFLOPS
    Single-precision (FP32): 82.58 TFLOPS
    Double-precision (FP64): 1290 GFLOPS

  • RTX A4000 16 GB:
    Half-precision (FP16): 19.17 TFLOPS
    Single-precision (FP32): 19.17 TFLOPS
    Double-precision (FP64): 599.0 GFLOPS

  • RTX A5000 24 GB:
    Half-precision (FP16): 27.77 TFLOPS
    Single-precision (FP32): 27.77 TFLOPS
    Double-precision (FP64): 867.8 GFLOPS

  • RTX A6000 48 GB:
    Half-precision (FP16): 38.71 TFLOPS
    Single-precision (FP32): 38.71 TFLOPS
    Double-precision (FP64): 1210 GFLOPS

  • RTX 6000 Ada 48 GB:
    Best for training with large batch sizes and large networks.
    Half-precision (FP16): 91.06 TFLOPS
    Single-precision (FP32): 91.06 TFLOPS
    Double-precision (FP64): 1423 GFLOPS

  • NVIDIA A100 80 GB:
    Max performance and max VRAM for training with large batch sizes and large networks.
    Half-precision (FP16): 77.97 TFLOPS
    Single-precision (FP32): 19.49 TFLOPS
    Double-precision (FP64): 9746 GFLOPS

  • NVIDIA H100 80 GB:
    Half-precision (FP16): 204.9 TFLOPS
    Single-precision (FP32): 51.22 TFLOPS
    Double-precision (FP64): 25610 GFLOPS

* TFLOPS numbers are for FP32 performance (the standard precision for deep learning training).
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Graphics Card #4

Graphics Card #4

GPUs comparison:
  • RTX 4070 Ti 12 GB: base line.
    Half-precision (FP16): 40.09 TFLOPS
    Single-precision (FP32): 40.09 TFLOPS
    Double-precision (FP64): 626.4 GFLOPS

  • RTX 4080 16 GB:
    Half-precision (FP16): 48.74 TFLOPS
    Single-precision (FP32): 48.74 TFLOPS
    Double-precision (FP64): 761.5 GFLOPS

  • RTX 4090 24 GB:
    Recommended GPU for Ai/ML, deep learning in 2023.
    Half-precision (FP16): 82.58 TFLOPS
    Single-precision (FP32): 82.58 TFLOPS
    Double-precision (FP64): 1290 GFLOPS

  • RTX A4000 16 GB:
    Half-precision (FP16): 19.17 TFLOPS
    Single-precision (FP32): 19.17 TFLOPS
    Double-precision (FP64): 599.0 GFLOPS

  • RTX A5000 24 GB:
    Half-precision (FP16): 27.77 TFLOPS
    Single-precision (FP32): 27.77 TFLOPS
    Double-precision (FP64): 867.8 GFLOPS

  • RTX A6000 48 GB:
    Half-precision (FP16): 38.71 TFLOPS
    Single-precision (FP32): 38.71 TFLOPS
    Double-precision (FP64): 1210 GFLOPS

  • RTX 6000 Ada 48 GB:
    Best for training with large batch sizes and large networks.
    Half-precision (FP16): 91.06 TFLOPS
    Single-precision (FP32): 91.06 TFLOPS
    Double-precision (FP64): 1423 GFLOPS

  • NVIDIA A100 80 GB:
    Max performance and max VRAM for training with large batch sizes and large networks.
    Half-precision (FP16): 77.97 TFLOPS
    Single-precision (FP32): 19.49 TFLOPS
    Double-precision (FP64): 9746 GFLOPS

  • NVIDIA H100 80 GB:
    Half-precision (FP16): 204.9 TFLOPS
    Single-precision (FP32): 51.22 TFLOPS
    Double-precision (FP64): 25610 GFLOPS

* TFLOPS numbers are for FP32 performance (the standard precision for deep learning training).
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NVIDIA NVLink Bridge

NVIDIA NVLink Bridge

Note: Only for NVIDIA RTX 30xx-Series and NVIDIA A100/H100.
RTX 40 Series:
  • NVLink is no longer supported on the NVIDIA RTX 40 Series GPUs. Replacing NVLink is the PCIe Gen 5 standard, which will be sufficiently fast to connect multiple GPUs together.

RTX 30 Series and A-Series:
  • NVLINK is available for RTX 3090, 3090 Ti, A5000, A6000, and A100 GPUs only.
  • 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 Quadro RTX (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

HDD #4

HDD #4

Additional hard drives

Additional hard drives

Optional storage drive for footage, scratch files, media cache or project files. SSD for project files, scratch, & media cache.
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RAID Controller

RAID Controller

  • RAID controller for PCIe NVMe SSDs

  • RAID controller for SATA/SAS SSDs

Adapters
Additional Controllers

Additional Controllers

Peripherals
Peripherals

Peripherals

UPS System

UPS System

Service & Support
Service & Support

Service & 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.
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$4,990
In Stock
Download Quote EDU, GOV discounts B2B/reseller discounts Financing Available

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Ports

Front panel:

2x USB 3.0, 1 x USB 3.1 GEN 2 Type-C, Mic, Headphone, Reset, Power button

Rear panel:

  • 2 x Antenna Ports
  • 1 x D-Sub Port
  • 1 x Optical SPDIF Out Port
  • 2 x USB 4.0 Thunderbolt 4 Type-C Ports
  • 2 x Mini DisplayPort Input Ports (For Thunderbolt)
  • 4 x USB 3.2 Gen2 Ports (10 Gb/s)
  • 2 x USB 3.2 Gen1 Ports
  • 2 x RJ-45 LAN Ports
  • 1 x RJ45 Dedicated IPMI LAN Port
  • 1 x Clear CMOS Button
  • 5 x Audio Jacks
Motherboard

ASRock WRX80 Creator

  • AMD RYZEN Threadripper Pro support.
  • 7 x PCI-E 4.0 slots.
  • Supports 8x SATA HDD/SSD and 2x M.2 SSD
  • AMD WRX80 chipset.

ASUS Pro WS WRX80E-SAGE SE

Supermicro MBD-M12SWA-TF-O

Note: motherboard model may vary between those three options listed above.
Contact sales if you have a specific preference.

CPU
AMD RYZEN Threadripper Pro processor with 16, 24, 32, or 64 Cores
RAM

  • Up to 2048 GB DDR4 3200 MHz
  • 8 RAM slots.
  • 8 channels memory architecture (1 DIMM per channel).

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

Expansion Slots
  • 7 x PCI Express 4.0 x16 Slots (PCIE1/PCIE2/PCIE3/PCIE5/PCIE7 at x16; PCIE4/PCIE6 at x8)
  • 2 x PCI-Express M.2
Storage

CPU

  • 1 x Hyper M.2 Socket (M2_1, Key M), supports type 2260/2280/22110 SATA3 6.0 Gb/s & PCIe Gen4x4 (64 Gb/s) modes

Chipset

  • 1 x Hyper M.2 Socket (M2_2, Key M), supports type 2260/2280 PCIe Gen4x4 (64 Gb/s) mode
  • 8 x SATA3 6.0 Gb/s Connectors
  • 1 x U.2 Connector

Graphics Cards

  • Up to 3 x 30xx-Series NVIDIA
  • Up to 4 x NVIDIA RTX A-Series

Available options:

  • Nvidia RTX 3060 12 Gb (3 DP, HDMI)
  • Nvidia RTX 3060 Ti 8 Gb (3 DP, HDMI)
  • Nvidia RTX 3070 8 Gb (3 DP, HDMI)
  • Nvidia RTX 3070 Ti 8 Gb (3 DP, HDMI)
  • Nvidia RTX 3080 10 Gb (3 DP, HDMI)
  • Nvidia RTX 3090 24 Gb (3 DP, HDMI)
  • Nvidia RTX 3090 Ti 24 Gb (3 DP, HDMI)

  • Nvidia RTX 4070 Ti 12 Gb (3 DP, HDMI)
  • Nvidia RTX 4080 16 Gb (3 DP, HDMI)
  • Nvidia RTX 4090 24 Gb (3 DP, HDMI)

  • Nvidia RTX T1000 Gb (4 DP)
  • Nvidia RTX A4000 16Gb (4 DP)
  • Nvidia RTX A4500 20Gb (4 DP)
  • Nvidia RTX A5000 24Gb (4 DP)
  • Nvidia RTX A6000 48Gb (4 DP)

Display Support (all cards):
Maximum Digital Resolution: 7680x4320 @60Hz
Multi Monitor Support: 4

Onboard Audio
7.1 CH HD Audio (Realtek ALC4050H+ALC1220)
Onboard LAN
  • 2 x 10 Gigabit LAN
  • 1 x Dedicated IPMI
Wireless

Wi-Fi

  • 802.11ax Wi-Fi 6E Module
  • Supports Wi-Fi 802.11a/b/g/n/ax
  • Supports Dual-Band 2x2 160MHz
  • Supports MU-MIMO

Bluetooth

  • Bluetooth + High speed class II
Case

Phanteks Enthoo Pro2 High-End Case with anodized aluminium panels and tempered glass sidepanel.

Case Drive Bays:

  • 4x 3.5in
  • 11x 2.5in
Cooling System
  • CPU Liquid Cooling

Full Custom Built Water Cooling system including cooling for CPU and GPUs (optional)

System includes:
  • 360mm Radiator
  • Water pump
  • Reservoir
  • CPU water block
  • GPU water blocks (optional)
Power Supply

1 GPU-Ready:

850W Power Supply

1 GPU-Ready for 1x RTX 4090/4080:

1200W Power Supply

2 GPU-Ready for 2x RTX 4090/4080:

1500W Power Supply

4 GPU-Ready for 4x A6000:

Dual 1200W Power Supply
Dimensions & Weight

Case

  • Height: 22.8 inches (58.0 cm)
  • Width: 9.5 inches (24.0 cm)
  • Depth: 22.0 inches (56.0 cm)

Shipping Package

  • Height: 25.6 inches (65.0 cm)
  • Width: 13.0 inches (33.0 cm)
  • Length: 26.2 inches (66.5 cm)
  • Weight: 53 lbs (24.5 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 X4000 G3.
  • Power cord (USA).
  • User manual.
  • Benchmark report.
Operating System
  • BIZON Z–Stack (Ubuntu 20.04 with preinstalled deep learning frameworks).
  • CentOS (with preinstalled deep learning frameworks) (optional).
  • Windows 11 Pro (optional).
  • Windows 10 Pro (optional).
Part Number
bizon-x4000-0922-g3

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. Pictures shown for the options on the configuration page are generic and for reference only.

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