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What is TensorWave?

TensorWave is a dedicated cloud platform tailored for artificial intelligence and high-performance computing, exclusively leveraging AMD Instinct Series GPUs to guarantee peak performance. It boasts a robust infrastructure that is both high-bandwidth and memory-optimized, allowing it to effortlessly scale to meet the demands of even the most challenging training or inference workloads. Users can quickly access AMD’s premier GPUs within seconds, including cutting-edge models like the MI300X and MI325X, which are celebrated for their impressive memory capacity and bandwidth, featuring up to 256GB of HBM3E and speeds reaching 6.0TB/s. The architecture of TensorWave is enhanced with UEC-ready capabilities, advancing the future of Ethernet technology for AI and HPC networking, while its direct liquid cooling systems contribute to a significantly lower total cost of ownership, yielding energy savings of up to 51% in data centers. The platform also integrates high-speed network storage, delivering transformative enhancements in performance, security, and scalability essential for AI workflows. In addition, TensorWave ensures smooth compatibility with a diverse array of tools and platforms, accommodating multiple models and libraries to enrich the user experience. This platform not only excels in performance and efficiency but also adapts to the rapidly changing landscape of AI technology, solidifying its role as a leader in the industry. Overall, TensorWave is committed to empowering users with cutting-edge solutions that drive innovation and productivity in AI initiatives.

What is CompactifAI?

CompactifAI, a groundbreaking platform created by Multiverse Computing, focuses on compressing AI models to improve the speed, cost-effectiveness, energy efficiency, and portability of sophisticated AI systems, including extensive language models, by substantially reducing their size while ensuring consistent performance. Utilizing state-of-the-art quantum-inspired techniques like tensor networks for the compression of core AI models, CompactifAI adeptly lowers memory and storage requirements, enabling these models to run with reduced computational power and be implemented across diverse environments, such as cloud, on-premises, edge, and mobile applications, via a managed API or private deployment. This platform not only boosts inference speed and curtails energy and hardware costs but also promotes privacy-focused local execution and aids in the development of tailored, efficient AI models that are fine-tuned for specific tasks. Ultimately, this innovation assists teams in overcoming the hardware constraints and sustainability challenges frequently faced in conventional AI applications. Moreover, by providing greater flexibility in deployment, CompactifAI allows organizations to harness advanced AI capabilities in a wider array of scenarios than previously possible, paving the way for novel applications and solutions in various fields.

Media

Media

Integrations Supported

AMD Radeon ProRender
Axolotl
Hugging Face
LLaMA-Factory
Meta AI
Mosaic
Ollama
PyTorch
Shadeform
Supermicro MicroCloud
TensorFlow

Integrations Supported

Amazon Web Services (AWS)
Llama
Mistral AI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

TensorWave

Company Location

United States

Company Website

tensorwave.com

Company Facts

Organization Name

Multiverse Computing

Date Founded

2019

Company Location

Basque Country

Company Website

multiversecomputing.com/compactifai

Categories and Features

AI Cloud Providers

Not specified

AI Inference

Not specified

AI Infrastructure

Not specified

AI/ML Model Training

Not specified

Bare Metal Server

Not specified

Cloud GPU

Not specified

Categories and Features

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