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What is ThirdAI?

ThirdAI, pronounced as "Third eye," is an innovative startup making strides in artificial intelligence with a commitment to creating scalable and sustainable AI technologies. The focus of the ThirdAI accelerator is on developing hash-based processing algorithms that optimize both training and inference in neural networks. This innovative technology is the result of a decade of research dedicated to finding efficient mathematical techniques that surpass conventional tensor methods used in deep learning. Our cutting-edge algorithms have demonstrated that standard x86 CPUs can achieve performance levels up to 15 times greater than the most powerful NVIDIA GPUs when it comes to training large neural networks. This finding has significantly challenged the long-standing assumption in the AI community that specialized hardware like GPUs is vastly superior to CPUs for neural network training tasks. Moreover, our advances not only promise to refine existing AI training methodologies by leveraging affordable CPUs but also have the potential to facilitate previously unmanageable AI training workloads on GPUs, thus paving the way for new research applications and insights. As we continue to push the boundaries of what is possible with AI, we invite others in the field to explore these transformative capabilities.

What is NVIDIA TensorRT?

NVIDIA TensorRT is a powerful collection of APIs focused on optimizing deep learning inference, providing a runtime for efficient model execution and offering tools that minimize latency while maximizing throughput in real-world applications. By harnessing the capabilities of the CUDA parallel programming model, TensorRT improves neural network architectures from major frameworks, optimizing them for lower precision without sacrificing accuracy, and enabling their use across diverse environments such as hyperscale data centers, workstations, laptops, and edge devices. It employs sophisticated methods like quantization, layer and tensor fusion, and meticulous kernel tuning, which are compatible with all NVIDIA GPU models, from compact edge devices to high-performance data centers. Furthermore, the TensorRT ecosystem includes TensorRT-LLM, an open-source initiative aimed at enhancing the inference performance of state-of-the-art large language models on the NVIDIA AI platform, which empowers developers to experiment and adapt new LLMs seamlessly through an intuitive Python API. This cutting-edge strategy not only boosts overall efficiency but also fosters rapid innovation and flexibility in the fast-changing field of AI technologies. Moreover, the integration of these tools into various workflows allows developers to streamline their processes, ultimately driving advancements in machine learning applications.

Media

Media

Integrations Supported

Integrations Supported

CUDA
Hugging Face
Kimi K2.6
Kimi K2.7 Code
LaunchX
MATLAB
NVIDIA Broadcast
NVIDIA DRIVE
NVIDIA DeepStream SDK
NVIDIA Jetson
NVIDIA Merlin
NVIDIA Morpheus
NVIDIA NIM
NVIDIA virtual GPU
Python
RankLLM
Rosepetal AI
TensorFlow
Thunder Compute
Ultralytics

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

ThirdAI

Company Location

United States

Company Website

thirdai.com/overview

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/tensorrt

Categories and Features

AI Inference

Not specified

Neural Network

Not specified

Categories and Features

AI Inference

Not specified

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