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Inference Software and Accelerators for Cloud, Data Center, Edge, and Autonomous Machines

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NVIDIA wins new AI inference benchmark, extending AI leadership

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There's an increasing demand for sophisticated AI-enabled services like image and speech recognition, natural language processing, visual search, and personalized recommendations. At the same time, datasets are growing, networks are getting more complex, and latency requirements are tightening to meet user expectations.

NVIDIA’s inference platform delivers the performance, efficiency, and responsiveness critical to powering the next generation of AI products and services—in the cloud, in the data center, at the network’s edge, and in autonomous machines.

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Unleash the Full Potential of NVIDIA GPUs with NVIDIA TensorRT

TensorRT is a high-performance inference platform that is key to unlocking the power of NVIDIA Tensor Core GPUs. It delivers up to 40X higher throughput while minimizing latency compared to CPU-only platforms. Using TensorRT you can start from any framework, and rapidly optimize, validate, and deploy trained neural networks in production.

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Unified, End-to-End, Scalable Deep Learning Inference

With one unified architecture, neural networks on every deep learning framework can be trained, optimized with NVIDIA TensorRT, and then deployed for real-time inferencing at the edge. With 5分11选5NVIDIA DGX? systems, NVIDIA Tesla?, NVIDIA Jetson?, and NVIDIA DRIVE, NVIDIA offers an end-to-end, fully scalable, deep learning platform.

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MAXIMIZE GPU UTILIZATION FOR DATA CENTER INFERENCE

Easily incorporate state-of-the-art AI in your solutions with NVIDIA Inference Server, a microservice for inference that maximizes GPU acceleration and hosts all popular AI model types. Deploy inference faster with this production-ready inference server that leverages the lightning-fast performance of NVIDIA Tensor Core GPUs and integrates seamlessly into DevOps deployment models, scaling on demand with autoscalers such as Kubernetes for NVIDIA GPUs.

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Cost Savings at a Massive Scale

To keep servers at maximum productivity, data center managers must make tradeoffs between performance and efficiency. A single NVIDIA Tesla T4 server can replace multiple commodity CPU servers for deep learning inference applications and services, reducing energy requirements and delivering both acquisition and operational cost savings.

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Cost Savings at a Massive Scale

To keep servers at maximum productivity, data center managers must make tradeoffs between performance and efficiency. A single NVIDIA Tesla T4 server can replace multiple commodity CPU servers for deep learning inference applications and services, reducing energy requirements and delivering both acquisition and operational cost savings.

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Learn how to achieve faster AI

Deep dive into the NVIDIA deep learning inference webinar series

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