Artificial intelligence (AI) is taking the automotive industry by storm. Market research projects that by 2025 the automotive AI market will be valued at $11 billion and the installation rate of AI-based systems in new vehicles will rise by 109%.
One of the most prominent ways that AI is revolutionizing the industry is through autonomous vehicles. Self-driving cars use camera-based machine vision systems and radar- and lidar-based detection units to perceive, understand, and safely navigate a nearly infinite range of driving scenarios.
Advantages of Learning Deep Learning for Autonomous Vehicles – Perception:
Using Deep Learning, You can learn how to optimize performance for self-driving car perception applications such as lane navigation and pedestrian detection.
You will be able to build and train a semantic segmentation neural network to identify objects in videos such as roads, pedestrians, and other vehicles.
Did you know!
E2E Networks Cloud is a NVIDIA Partner in India offering GPU Cloud Instances based on NVIDIA Tesla A100, V100, Quadro RTX8000 and NVIDIA T4 GPU cards.
Tesla A100 – World’s largest GPU and NVIDIA’s first manufactured in the 7nm fabrication process
With NVIDIA Tesla A100 MIG’s on E2E Networks Cloud. You can both train and inference your deep learning models to bring down the time to deliver and overall computational costs.
Tesla V100 – World’s most advanced data center GPU ever built to accelerate AI, HPC, and Graphics
With NVIDIA V100 on E2E Networks Cloud. You can train your deep learning models to bring down the time to deliver and overall computational costs.
Quadro RTX 8000 – The World’s First Ray Tracing GPU
With NVIDIA RTX 8000 on E2E Networks Cloud. Designers and artists across industries can now expand the boundary of what’s possible, working with the largest and most complex ray tracing, deep learning, and visual computing workloads.
Tesla T4 – World’s most advanced inference accelerator
You can deploy the trained models on NVIDIA T4 on E2E Networks Cloud for inferencing in the production environments. Also, you can train deep learning models on NVIDIA T4 GPU, If NVIDIA Tesla V100 is overpowering for your workloads.
Visit – https://bit.ly/E2ECloud-GPUs to know more about the offerings on A100, V100, RTX 8000 & T4.
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