BIZON ZX5000 G2
- Product Code: ZX5000-G2
- Availability: In Stock
Personal AI Supercomputer at your Desk. 4x GPU Deep Learning Workstation with water-cooling system.
CUSTOM WATER COOLING FOR CPU AND GPU. Up to 30% lower noise level vs air-cooling.
Plug-and-Play Deep learning Workstation designed for your environment. Powered by latest NVIDIA GPUs and preinstalled deep learning frameworks.
We understand that noise level matters for workstation you are using at
home or office.
Most workstations on the market are using big stock coolers that come
with CPU and GPU. The fans run at a very high RPM and are quite loud.
Air cooling is cheap and easy and doesn’t require special assembly
knowledge. For a normal office PC air-cooling is fine, but when it comes
to multi-CPU workstation computer working at the maximum load 24/7 you
can expect a very loud noise level, unstable performance and overheating
BIZON ZX5000 comes with the custom-built liquid cooling system including cooling for CPU and all of the 4-7x GPUs. Do not mix it up with cheap CPU liquid cooling solutions that are designed for CPU cooling only. Keep in mind that most of the noise is generated by GPUs.
When GPUs are overheating they will activate thermal throttling mode (90C is the "red zone" where GPU activates thermal throttling). Thermal throttling means that the fans can no longer dissipate heat and the graphics card starts to decrease performance in order to protect itself.
IMPORTANT: We have seen up to 30-60% (!) performance drop due to overheating.
ZX5000/Z8000 liquid-cooled workstation computer will keep the temperatures in the safe range of 50C–60C (vs 85-90C for air-cooled). You will get 24/7 stability, low noise, and long-life for components and get 100% performance out of all GPUs. No overheating. No thermal throttling. No performance drop.
BIZON Workstations can save you hundreds hours you may spend for building your own PC, configuring and optimizing software. It may seem cost-effective, but at the end you loose more time and money. Focus on your work instead of piecing together components and assembling hardware.
If you are using GPU cloud services (Amazon AWS) for 8 hours a day, 5 days a week for as little as 6 months you will spend the same money as buying your own Deep Learning Workstation. After 6 months period you will return your investment and start saving money. Your personal GPU Workstation gives you 2X more performance compared to cloud services.
|Processor||64-Core 2.90 GHz AMD RYZEN Threadripper 3990X 3rd Gen|
|Cooling||Custom Liquid Cooling System (Processor and graphics cards; extra stability and 20% lower noise level vs air-cooling)|
|Memory||256GB DDR4 3200 MHz RAM|
|Graphics Cards||4x NVIDIA A100 80GB (Liquid-cooled)|
|NVIDIA NVLink Bridge||2x NVLink for 4x NVIDIA RTX (+20% performance)|
|Storage||- 51TB PCIe 3.0 NVMe Solid State Drives
- 84TB 7200 RPM Hard Drives
135 Combined Storage*
|RAID Controllers||- High Point SSD7120; 4x dedicated 32Gbps U.2 Ports; PCIe 3.0
- High Point SSD7101; 4x dedicated 32Gbps M.2 Ports; PCIe 3.0
- LSI MegaRAID 9341-8i SAS and SATA, 12Gb/s; 8 ports; PCIe 3.0
|Network Adapters||- 802.11ax WiFi 6 + Bluetooth v5.0 Module
- 1 Gigabit Ethernet (built-in)
- 10 Gigabit Ethernet Card
|Other Adapters||- Thunderbolt 3 (dual port; up to 40Gbps; up to 12 devices)
- Blackmagic Design DeckLink 4K Extreme 12G Capture Card
|UPS System||CyberPower UPS System 3000W (2 x 1500W), AVR and LCD Display or similar|