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What is Red 6?

ATARS is a cutting-edge multi-node framework tailored for all-domain augmented reality (AR), creating a robust LVC ecosystem that accommodates numerous participants in both beyond visual range (BVR) and within visual range (WVR) situations amidst dynamic environments. Utilizing an exceptionally low-latency protocol that remains agnostic to waveform and network types, ATARS guarantees swift data transmission crucial for an engaging, multi-player augmented reality experience, all presented through a vivid, expansive field-of-view and high-definition display. Our Enhanced Visual Environment (EVE) headset signifies a major leap in wearable augmented reality technology, allowing for the swift visual integration of virtual assets within real-world outdoor contexts. In contrast to earlier technologies that faced challenges in seamlessly merging virtual components with the physical realm, Red 6’s EVE headset emerges as the most luminous option available, making it practical for outdoor applications even under bright sunlight, while also thriving in high-speed scenarios. This revolutionary headset not only elevates the user experience to new heights but also paves the way for innovative training methods and operational applications, ultimately transforming how individuals interact with augmented realities. Moreover, the versatility of the EVE headset positions it as an essential tool for professionals seeking to harness AR for enhanced situational awareness and decision-making in diverse fields.

What is NVIDIA Magnum IO?

NVIDIA Magnum IO acts as a sophisticated framework designed for optimizing I/O processes in parallel data center environments. By improving the functionality of storage, networking, and communication across various nodes and GPUs, it supports vital applications such as large language models, recommendation systems, imaging, simulation, and scientific studies. Utilizing storage I/O, network I/O, in-network computation, and well-organized I/O management, Magnum IO effectively accelerates and simplifies the movement, access, and management of data within complex multi-GPU and multi-node settings. Its compatibility with NVIDIA CUDA-X libraries ensures peak performance across a variety of NVIDIA GPU and networking hardware configurations, maximizing throughput while minimizing latency. In architectures that utilize multiple GPUs and nodes, the conventional dependence on slow CPUs with limited single-thread performance poses challenges for efficient data access from both local and remote storage. To address this issue, storage I/O acceleration enables GPUs to bypass the CPU and system memory, facilitating direct access to remote storage via 8x 200 Gb/s NICs, thus achieving an impressive 1.6 TB/s in raw storage bandwidth. This technological advancement substantially boosts the overall operational efficiency of applications that require extensive data processing, ultimately allowing for faster and more responsive data-driven solutions. Such improvements represent a significant leap forward in managing the increasing demands of modern data workloads.

Media

Media

Integrations Supported

Integrations Supported

Apache Spark
CUDA
NVIDIA NetQ
NVIDIA virtual GPU

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Red 6

Date Founded

2018

Company Location

United States

Company Website

red6ar.com//atars/

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

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

Categories and Features

Augmented Reality

Not specified

Aviation

Not specified

Military and Defense

Not specified

Categories and Features

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