GIGABYTE W775-V10-L01

Up to 748 GB

Coherent memory

Up to 20 PFLOPS FP4

AI performance

Up to 7.1 TB/s

HBM3E Memory bandwidth

Up to 9,000 tok/s**

Peak output throughput

Concurrent requests

400 simultaneous requests with no one left waiting in the queue

Time to first token*

Under heavy workloads the response time is still under two seconds

Peak aggregate throughput

Close to nine thousand tokens per second, sustained

Core temperature at full load

When the GPU is running at 100 percent (%) there is still thermal headroom to spare

• Runs on a standard wall outlet: No dedicated PDU, no electrical work
• Tower chassis, fits beside a desk: 732 x 400 x 775 mm
• Quiet, even at full load: Closed-loop liquid cooling keeps noise within ambient office levels
• Thermal headroom under sustained load: GPU at 100 percent, core temperature around 65°C, draw of 1,000 to 1,200 W against a 1,300 W design figure
• Leak detection built in: A sealed loop with leak detection sensors

Workstation systems require no extra infrastructure for operation.

How long before the team is actually using it?

From hardware to a ready-to-use departmental service

Compute is only one piece. What really shortens the path is having model serving, the agent environment, and monitoring already in place.

The hardware supplies the compute. The environment is what gets an application into use.

Reduce cloud reliance

Critical processes stay local, not cloud-dependent.

Model versions

External model updates can shift output quality and behavior without notice

Cost and API policy

High frequency work needs a cost you can forecast

Data boundary

Internal documents, procedures and know-how are better kept inside a boundary you define