A company is implementing a new network architecture and needs to consider the requirements and considerations for training and inference. Which of the following statements is true about training and inference architecture?

1. A. Training architecture and inference architecture have the same requirements and considerations.
2. B. Training architecture is only concerned with hardware requirements, while inference architecture is only concerned with software requirements.
3. C. Training architecture is focused on optimizing performance while inference architecture is focused on reducing latency.
4. D. Training architecture and inference architecture cannot be the same.

Correct Answer: C

Which type of GPU core was specifically designed to realistically simulate the lighting of a scene?

1. A. Tensor Cores
2. B. CUDA Cores
3. C. Ray Tracing Cores

Correct Answer: C

What factors have led to significant breakthroughs in Deep Learning?

1. A. Advances in hardware, availability of fast internet connections, and improvements intraining algorithms.
2. B. Advances in sensors, availability of large datasets, and improvements to the ??Bag of Words?? algorithm.
3. C. Advances in hardware, availability of large datasets, and improvements in training algorithms.
4. D. Advances in smartphones, social media sites, and improvements in statistical techniques.

Correct Answer: C

When should RoCE be considered to enhance network performance in a multi-node AI computing environment?

1. A. A network that experiences a high packet loss rate (PLR).
2. B. A network with large amounts of storage traffic.
3. C. A network that cannot utilize the full available bandwidth due to high CPU utilization.

Correct Answer: C

Which are three key features of InfiniBand networking technology?

1. A. High reliability, high latency, and CPU offloads.
2. B. High latency, high reliability, and high bandwidth.
3. C. GPU offloads, low latency, high reliability.
4. D. Low latency, high bandwidth, and CPU offloads.

Correct Answer: D