Which type of GPU core was specifically designed to realistically simulate the lighting of a scene?
Answer(s): C
Ray Tracing Cores are specialized hardware units designed to accelerate the computation of ray-scene intersections and shading calculations, enabling real-time, photorealistic lighting and reflections.
Which GPUs should be used when training a neural network for self-driving cars?
Answer(s): A
NVIDIA H100 GPUs deliver the massive compute throughput and high-bandwidth memory needed to train the large, compute-intensive neural networks used in autonomous driving.
A customer is evaluating an AI cluster for training and is questioning why they should use a large number of nodes. Why would multi-node training be advantageous?
Multi-node training lets you shard and distribute model parameters across GPUs on different servers, enabling you to train models that exceed the memory capacity of any single GPU.
When should RoCE be considered to enhance network performance in a multi-node AI computing environment?
RoCE offloads transport work to the NIC via RDMA, cutting CPU overhead and unlocking the full link bandwidth when high CPU usage would otherwise throttle network throughput.
Which are three key features of InfiniBand networking technology?
Answer(s): D
InfiniBand delivers microsecond-class, low latency; multi-100 Gb/s (and beyond) high bandwidth; and offloads transport work (via RDMA) from the CPU, maximizing system efficiency.
An IT Professional is considering whether to implement an on-prem or cloud infrastructure.Which of the following is a key advantage of on-prem infrastructure?
On-premises deployments give organizations direct control over their hardware and data, making it easier to meet strict security, compliance, and sovereignty requirements.
Which feature of RDMA reduces CPU utilization and lowers latency?
Answer(s): B
RDMA-capable network adapters offload data transfer tasks into the NIC hardware, bypassing the CPU for memory copies and transport operations - thereby reducing CPU utilization and achieving lower latency.
What is one key advantage that Cloud GPU Infrastructure has over On-Prem GPU infrastructure?
Cloud GPU offerings eliminate large capital expenditures by letting you pay-as-you-go, significantly lowering the cost barrier to getting started with high-performance GPU compute.
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question #3 refers to vnet4 and vnet5. however, there is no vnet5 listed in the case study (testlet 2).
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qs 4 answer seems wrong- please check
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question # 267: federated operating model is also correct.
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