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TensorWave

TensorWave needed to define its brand — not just for today, but for the next wave of AI and cloud innovation. As a rising force in high-performance infrastructure, its identity had to signal both deep technical credibility and bold future vision.

The challenge was to build a brand system that resonates across audiences — from developers and enterprise leaders to investors and engineers. One that instills confidence, highlights breakthrough capabilities, and positions TensorWave as a modern, trusted partner in an industry on the edge of constant transformation.

DATE

February 2024

COMMISSION

Design System

LOCATION

Las Vegas, NV

Massive Model Capability

Enables the training of giant AI models and handles extremely large datasets.

Simpler Programming

An 80-GPU single node setup reduces development complexity as you don’t need to manage data distribution like in multi-node systems.
Core Features
What’s important about this is it will actually make it easier for developers and AI startups to get access to MI300X GPUs as soon as possible with a proven set of providers.
Dr. Lisa Su, Chair and CEO, AMD

Welcome to the Nth Dimension of Computing

Tensorwave became a compelling underdog story. It provided a clear vision of scale, automation, and the future of AI compute.

Official AMD MI300X Launch Partner

Fully supported by common communications libraries like RCCL and MPI without any required software changes, facilitating easy adoption and integration into existing systems. As Al and HPC workloads get increasingly complex, GPUs alone will be insufficient. Disaggregated fabric is the ideal solution for facilitating this type of heterogeneous compute, and TensorWave’s architecture is designed to easily pivot into such workloads with minimal investment.
Inspiration

The client

Tensorwave’s Massive Model Capability enables the training of giant AI models and handles extremely large datasets.
About Tensorwave
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