Accelerating your AI deep learning model training with multiple GPU

Picture of Wiwynn Wiwynn Updated on July 19, 2022

Whitepapers
Accelerating your AI deep learning model training with multiple GPU

Deep Learning has shown remarkable results in many fields.Instant parameter adjustment is substantial for a successful deep learning model. To accelerate training process of deep learning, many studies are designed to use distributed deep learning systems with multiple GPUs.

Leave your contact information to download the whitepaper.
White Paper: Advancing Vertical Power Delivery

1 min read

White Paper: Advancing Vertical Power Delivery

As modern compute silicon continues to scale in power density—driven by AI training clusters, high-performance computing (HPC) accelerators, and...

Read More
White Paper: Breaking the Thermal–Hydraulic Trade-Off: A Non-Uniform Straight-Microchannel Cold Plate for High-Heat-Flux Cooling

1 min read

White Paper: Breaking the Thermal–Hydraulic Trade-Off: A Non-Uniform Straight-Microchannel Cold Plate for High-Heat-Flux Cooling

This study proposes a heat-flux-based non-uniform straight-microchannel cold plate design for non-uniform chip heat loading. A preliminary parametric...

Read More
White Paper: System Integration and Deployment Considerations for CPO-Based AI Scale-Up Infrastructure

White Paper: System Integration and Deployment Considerations for CPO-Based AI Scale-Up Infrastructure

The rapid scaling of AI workloads is pushing traditional copper interconnects beyond their practical limits in bandwidth density, reach, and power...

Read More