HW-V4-ML403-UNI-G-J

Applications

The HW-V4-ML403-UNI-G-J is designed for integration into high-performance computing environments, particularly in data centers and cloud computing solutions. It supports large-scale machine learning models, enabling efficient processing of complex datasets. This device is also suitable for edge computing applications, providing robust performance in IoT environments.

Operating Temperature: -20¡ãC to +60¡ãC

Key Advantages

1. High computational throughput up to 40 TFLOPS

2. Scalable architecture supporting up to 8 GPUs

3. Energy consumption optimized at 300W

4. Certified to meet ISO 9001 and CE standards

Frequently Asked Questions

Q1: What is the maximum number of GPUs that can be supported?

A1: The HW-V4-ML403-UNI-G-J can support up to 8 GPUs.

Q2: Is this device compatible with existing infrastructure?

A2: Yes, it is backward compatible with most current GPU architectures but requires specific drivers for optimal performance.

Q3: In which specific scenarios would you recommend using this hardware?

A3: This hardware is recommended for scenarios requiring high computational power such as deep learning training, AI model inference, and big data analytics.

Other people’s search terms

– High-performance computing solution

– Machine learning acceleration hardware

– Scalable GPU solution

– Low-power high-performance GPU

– Cloud computing GPU accelerator