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Faster, More Accurate AI Inference

Drive breakthrough performance with your AI-enabled applications and services.

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Inference is where AI delivers results, powering innovation across every industry. But as data scientists and engineers push the boundaries of what’s possible in computer vision, speech, natural language processing (NLP), generative AI and recommender systems, AI models are rapidly evolving and expanding in size, complexity, and diversity. To take full advantage of this opportunity, organizations have to adopt a full-stack-based approach to AI inference.

Based on NVIDIA analysis using public data and industry research reports

Inference Platform

The Conference for the Era of AI and the Metaverse

Developer Conference March 20-23 | Keynote March 21

Don't miss these upcoming Deep Learning Sessions at GTC Spring 2023:

Deep Learning Demystified

Build a practical understanding of deep learning in this session by exploring the history and ongoing evolution of deep learning, and emerging applications.

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Efficient Inference of Extremely Large Transformer Models

Transformer-based language models are seeing an increase in model size since their performance scales exceptionally well with size. Access the key ingredients to making transformer-based models faster, smaller, and more cost-effective, and learn how to optimize them for production.

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Taking AI Models to Production: Accelerated Inference with Triton Inference Server

With multiple frameworks, evolving model architectures, the volume of queries, diverse computing platforms, and cloud-to-the-edge AI, the complexity of AI inference is steadily growing. Learn how to standardize and streamline inference without losing model performance.

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See All Deep Learning Sessions

Deploy Next-Generation AI Inference With the NVIDIA Platform

NVIDIA offers a complete end-to-end stack of products and services that delivers the performance, efficiency, and responsiveness critical to powering the next generation of AI inference—in the cloud, in the data center, at the network edge, and in embedded devices. It’s designed for data scientists, application developers, and software infrastructure engineers with varying levels of AI expertise and experience.

Explore the Platform

Deploy next-generation AI inference with the NVIDIA platform.

Explore the benefits of NVIDIA AI inference.

Executives
AI/Platform MLOps
AI Developers

Accelerate Time to Insights

Spend less time waiting for processes to finish and more time iterating to solve business problems. Adopted by industry leaders to run AI inference for a broad set of workloads.

Get Better Results

Easily put larger and better models in production to drive higher-accuracy results.

See Higher ROI

Deploy with fewer servers and less power and scale efficiently to achieve faster insights with dramatically lower costs.

Standardize Deployment

Standardize model deployment across applications, AI frameworks, model architectures, and platforms.

Integrate With Ease

Integrate easily with tools and platforms on public clouds, in on-premises data centers, and at the edge.

Lower Costs

Achieve high throughput and utilization from AI infrastructure, thereby lowering costs.

Integrate Into Applications

Effortlessly integrate accelerated inference into your applications.

Achieve the Best Performance

Get the best model performance, and better meet customer needs. The NVIDIA inference platform has consistently delivered record-setting performance across multiple categories in MLPerf, the leading industry benchmark for AI.

Seamlessly Scale Inference with Application Demand

Scale Seamlessly

Seamlessly scale inference with the application demand.

Explore the challenges, solutions, and best practices of putting AI models into production.

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Take a Full-Stack Architectural Approach

NVIDIA’s full-stack architectural approach ensures that AI-enabled applications deploy with optimal performance, fewer servers, and less power, resulting in faster insights with dramatically lower costs.

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From 3D Design Collaboration to
Digital Twins and Development

NVIDIA Omniverse not only accelerates complex 3D workflows, but also enables ground-breaking new ways to visualize, simulate, and code the next frontier of ideas and innovation. Integrating complex technologies such as ray tracing, AI, and compute into 3D pipelines no longer comes at a cost but brings an advantage.

NVIDIA Accelerated Computing Platform

Inference AI workloads are diverse: from AI video to image generation to Large Language Models (LLMs) and recommenders. The NVIDIA inference platform GPU portfolio includes the NVIDIA L4 for AI Video, NVIDIA L40 for Image Generation, NVIDIA H100 NVL for Large Language Model Inference Deployment, and NVIDIA Grace Hopper for Recommendation Models. The full stack of NVIDIA inference software is a key element of the platforms including Triton, TensorRT, and Triton management service. These platforms represent a single architecture that is elastic and fungible to work across all these workloads, yet each optimized to excel at specific use cases. Customers can then choose the specific platform tuned for their dominant workload to run at the highest performance. NVIDIA-Certified Systems™ bring NVIDIA GPUs and NVIDIA high-speed, secure networking to systems from leading NVIDIA partners in configurations validated for optimum performance, efficiency, and reliability.

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NVIDIA Triton

NVIDIA Triton™ Inference Server is an open-source inference serving software. Triton supports all major deep learning and machine learning frameworks; any model architecture; real-time, batch, and streaming processing; model ensembles; GPUs; and x86 and Arm® CPUs—on any deployment platform on cloud or on prem. It supports multi-GPU multi-node inference for large language models. It’s key for fast and scalable inference in every application.

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NVIDIA TensorRT

NVIDIA TensorRT™ is an SDK for high-performance deep learning inference, which includes a deep learning inference optimizer and runtime, that delivers low latency and high throughput for inference applications. It delivers orders-of-magnitude 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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Enterprise Support with NVIDIA AI Enterprise

Triton and TensorRT are part of NVIDIA AI Enterprise, an end-to-end software suite that streamlines AI development and deployment and provides enterprise support. NVIDIA AI Enterprise offers the assurance of guaranteed service-level agreements, direct access to NVIDIA experts for configuration, technical, and performance issues, prioritized case resolution, long-term support options, and access to training and knowledge base resources. Enterprises have the flexibility to run their NVIDIA AI-enabled solutions across the cloud, data center, and edge.

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NGC Catalog

The NVIDIA NGC™ catalog is the hub for accelerated software. It offers pretrained models, AI software containers, and Helm charts to easily take AI applications fast to production on premises or in the cloud.

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