Inside the GIGABYTE W775 V10L1: A Liquid-Cooled NVIDIA Grace Blackwell Ultra Desktop Workstation

We take a close look at the GIGABYTE W775 V10L1, a desktop AI workstation built around the NVIDIA Grace Blackwell Ultra GB300 superchip, featuring a 72-core Grace CPU, Blackwell Ultra GPU, ConnectX-8 SuperNIC, and a fully liquid-cooled chassis. The video walks through the hardware design, internal architecture, connectivity, power and acoustics, then moves into real-world AI performance and practical deployment considerations.

■ Hardware Tour
- Front and side I/O, ventilation design, and rear I/O including QSFP112 400GbE ports
- 1600W 80 PLUS Platinum PSU, PCIe slots, and M.2 storage layout
- Liquid cooling loop, leak detection system, and BMC implementation

■ Architecture & Performance
- Grace CPU with LPDDR5x, Blackwell Ultra GPU with HBM3e, and NVLink C2C linkage
- Token throughput benchmarks with a 35B-class model and multi-system comparisons
- Power consumption and noise level measurements under load

■ Practical Use & Takeaways
- Business use cases for local AI infrastructure and agent workloads
- Cost considerations and where this platform fits

This is aimed at IT professionals, AI engineers, and business decision-makers evaluating on-premises AI hardware. Viewers will come away with a clear picture of how a workstation-class Grace Blackwell system is built, what it delivers in practice, and how it compares with alternative setups.