Deep Learning
Inference Platform

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

Faster AI. Lower Cost.

 

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 vehicles.

 

 

Download Technical Inference Overview
Register to Download Inference Technical Overview
Download PLASTER Whitpaper
Download PLASTER Whitepaper
Watch TensorRT Overview Video
Watch Data Center Inference Video

Unleash the Full Potential of NVIDIA GPUs with NVIDIA TensorRT

TensorRT is the key to unlocking optimal inference performance. Using NVIDIA TensorRT, you can rapidly optimize, validate, and deploy trained neural networks for inference. TensorRT delivers up to 40X higher throughput in real-time latency when compared to CPU-only inference.

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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.

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 P4 server can replace eleven commodity CPU servers for deep learning inference applications and services, reducing energy requirements and delivering cost savings of up to 80 percent.

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 P4 server can replace eleven commodity CPU servers for deep learning inference applications and services, reducing energy requirements and delivering cost savings of up to 80 percent.

Inference Solutions

DATA CENTER

DATA CENTER
SELF-DRIVING CARS

SELF-DRIVING CARS
INTELLIGENT VIDEO ANALYTICS

INTELLIGENT VIDEO ANALYTICS
EMBEDDED DEVICES

EMBEDDED DEVICES

Learn how to achieve faster AI

Watch the “Achieving Faster AI with NVIDIA GPUs and NVIDIA TensorRT” webinar

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