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features
design
support

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Description

NVIDIA Magnum IO serves as the framework for efficient and intelligent I/O in data centers operating in parallel. It enhances the capabilities of storage, networking, and communications across multiple nodes and GPUs to support crucial applications, including large language models, recommendation systems, imaging, simulation, and scientific research. By leveraging storage I/O, network I/O, in-network compute, and effective I/O management, Magnum IO streamlines and accelerates data movement, access, and management in complex multi-GPU, multi-node environments. It is compatible with NVIDIA CUDA-X libraries, optimizing performance across various NVIDIA GPU and networking hardware configurations to ensure maximum throughput with minimal latency. In systems employing multiple GPUs and nodes, the traditional reliance on slow CPUs with single-thread performance can hinder efficient data access from both local and remote storage solutions. To counter this, storage I/O acceleration allows GPUs to bypass the CPU and system memory, directly accessing remote storage through 8x 200 Gb/s NICs, which enables a remarkable achievement of up to 1.6 TB/s in raw storage bandwidth. This innovation significantly enhances the overall operational efficiency of data-intensive applications.

Description

NVIDIA TensorRT is a comprehensive suite of APIs designed for efficient deep learning inference, which includes a runtime for inference and model optimization tools that ensure minimal latency and maximum throughput in production scenarios. Leveraging the CUDA parallel programming architecture, TensorRT enhances neural network models from all leading frameworks, adjusting them for reduced precision while maintaining high accuracy, and facilitating their deployment across a variety of platforms including hyperscale data centers, workstations, laptops, and edge devices. It utilizes advanced techniques like quantization, fusion of layers and tensors, and precise kernel tuning applicable to all NVIDIA GPU types, ranging from edge devices to powerful data centers. Additionally, the TensorRT ecosystem features TensorRT-LLM, an open-source library designed to accelerate and refine the inference capabilities of contemporary large language models on the NVIDIA AI platform, allowing developers to test and modify new LLMs efficiently through a user-friendly Python API. This innovative approach not only enhances performance but also encourages rapid experimentation and adaptation in the evolving landscape of AI applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

CUDA Yes 
NVIDIA virtual GPU Yes 
Hugging Face No 
Kimi K2.5 No 
Kimi K2.6 No 
Kimi K2.7 Code No 
Kimi K3 No 
NVIDIA AI Enterprise No 
NVIDIA Clara No 
NVIDIA DRIVE No 
NVIDIA DeepStream SDK No 
NVIDIA Merlin No 
NVIDIA Morpheus No 
NVIDIA NetQ Yes 
PyTorch No 
Python No 
RankLLM No 
Rosepetal AI No 
Thunder Compute No 
Ultralytics No 

Integrations

CUDA Yes 
NVIDIA virtual GPU Yes 
Hugging Face Yes 
Kimi K2.5 Yes 
Kimi K2.6 Yes 
Kimi K2.7 Code Yes 
Kimi K3 Yes 
NVIDIA AI Enterprise Yes 
NVIDIA Clara Yes 
NVIDIA DRIVE Yes 
NVIDIA DeepStream SDK Yes 
NVIDIA Merlin Yes 
NVIDIA Morpheus Yes 
NVIDIA NetQ No 
PyTorch Yes 
Python Yes 
RankLLM Yes 
Rosepetal AI Yes 
Thunder Compute Yes 
Ultralytics Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/data-center/magnum-io/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/tensorrt

Product Features

Data Center Management

Audit Trail No 
Behavior-Based Acceleration No 
Cross Reference System No 
Device Auto Discovery No 
Diagnostic Testing No 
Import / Export Data No 
JCL Management No 
Multi-Platform No 
Multi-User No 
Power Management No 
Sarbanes-Oxley Compliance No 

Product Features

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