Bizon GB300 AI Station
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Full Specifications
Compute & Memory
Superchip
NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip
CPU
1× NVIDIA Grace CPU Superchip, 72 Arm Neoverse V2 cores
GPU
1× NVIDIA Blackwell Ultra GPU
Coherent Memory
748 GB unified: 496 GB LPDDR5X + 252 GB HBM3e
AI Performance
20 PetaFLOPS (FP4)
Storage & Physical
Storage (Slots)
2× M.2 2280/22110 PCIe 5.0 x4 NVMe + 2× M.2 2280 PCIe 6.0 x4 NVMe
Form Factor
Deskside tower, custom liquid-cooled chassis
Dimensions
24.78 x 58.27 x 52.79 cm
Weight
24.5 kg
Networking & Expansion
High-Speed Networking
2× 400G QSFP112 ports via NVIDIA ConnectX-8 SuperNIC
Everyday Networking
1× 10GbE (Marvell AQC113) + 1× 1GbE management port
PCIe Expansion
PCIe 5.0, 1× double-width x16 slot + 2× single-width x16 (x8 signal) slots — supports optional NVIDIA RTX PRO 6000 Blackwell visualization cards
Display Output
1× Mini DisplayPort, up to 4 displays at 7680×4320 @ 60Hz
Power & Thermal
Power Supply
1600 W power supply, universal 100–240V AC input, standard office outlet
Cooling
Custom closed-loop liquid cooling rated for sustained loads up to 1,400 W; approx. 43 dB idle / 55 dB peak noise
Management & Software
Operating System
Ubuntu 24.04 LTS, pre-installed
Quality Assurance
Individually stress-tested before shipment, with a benchmark report included at delivery
Support
Direct engineering-led support, hardware warranty options up to 5 years
Bizon introduced the GB300 AI Station in 2026, built around the NVIDIA GB300 Grace Blackwell Superchip platform and engineered as a deskside system capable of running trillion-parameter models entirely on-premises.
Hardware Specifications
The GB300 AI Station is built around a single NVIDIA Grace CPU Superchip — 72 Arm Neoverse V2 cores and 496 GB LPDDR5X memory — paired with an NVIDIA Blackwell Ultra GPU with 252 GB HBM3e GPU memory, unified through NVLink-C2C into a coherent memory pool of 748 GB. Storage is handled by 2× M.2 PCIe 5.0 x4 and 2× M.2 PCIe 6.0 x4 NVMe slots, and a dual-port NVIDIA ConnectX-8 400G SuperNIC provides high-speed networking alongside a dedicated 10GbE port for everyday office connectivity. Three PCIe 5.0 expansion slots leave room to add an NVIDIA RTX PRO 6000 Blackwell card for teams that also need dedicated visualization or rendering capacity alongside their AI workloads.
Engineered for Quiet, Always-On Operation
Bizon builds the GB300 AI Station around a custom closed-loop liquid cooling system, rated for sustained thermal loads of up to 1,400 W — well above the system's measured peak draw. The result is a system that stays quiet under load: idle noise measures approximately 43 dB, rising to around 55 dB under sustained AI workloads.
Local AI Server for Business Use
The GB300 AI Station is designed to function as a shared local AI resource. Multiple employees can submit document processing tasks — contract review, invoice extraction, report drafting, email triage — throughout the working day, with jobs handled centrally on-site instead of routed through external cloud services.
Through NVIDIA NemoClaw, autonomous agents can run continuously on the system, handling recurring tasks such as inbox monitoring or scheduled report generation without requiring a person to initiate each request. This allows the GB300 AI Station to operate as ongoing AI infrastructure for the business, supporting steady document workloads.
Pre-Validated, Ready to Deploy
Each GB300 AI Station ships with Ubuntu 24.04 LTS and NVIDIA's AI developer tooling pre-installed, and is individually stress-tested before leaving Bizon's facility, with a benchmark report included at delivery. Systems are backed by direct, engineering-led support, with hardware warranty options extending up to five years.
Cost Comparison: On-Premises vs. Cloud AI APIs
For SMBs processing high volumes of documents on a daily basis, the difference between an on-premises system and cloud AI billing compounds significantly over time.
| Cost Category | Cloud AI APIs | Bizon (On-Premises) |
|---|---|---|
| Initial hardware investment | None | €100k (one-time) |
| Year 1 operating cost | ~€100k – ~€200k | ~€4k (power & maintenance) |
| Year 2 operating cost | ~€100k – ~€200k | ~€4k (power & maintenance) |
| Year 3 operating cost | ~€100k – ~€200k | ~€4k (power & maintenance) |
| Cumulative 3-year cost | ~€300k – ~€600k | ~€110k |
Because processing takes place entirely on-site, documents and business data are not transmitted to third-party servers. This is a relevant consideration for organizations in legal, financial, or other data-sensitive sectors.
Summary
The GB300 AI Station pairs trillion-parameter-capable local AI hardware with a quiet, liquid-cooled design suited to everyday office placement, backed by pre-validated software and direct engineering support. For SMBs with sustained AI workloads, it offers a lower cost, ready-to-deploy alternative to recurring cloud AI expenditure.
