Assembly Line

Tensor Fusion

Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.

Tensor Fusion is an open-source local AI project on GitHub under the Apache-2.0 license (permissive), with 171 stars. It is built with Go, GCC, Gin and GORM. Its last push was yesterday.

Stars
171
License
Apache-2.0
Activity
Active
Latest release
v2.18.6

Code on GitHub Website

Judgement

What it is
Building block
What it does
GPU virtualization for Kubernetes clusters: splits GPUs into fractional virtual GPUs, shares GPUs remotely over the network, and schedules and autoscales GPU workloads.
Adopt it when
You run a Kubernetes GPU cluster where cards sit underused and you want to pack more AI workloads onto fewer GPUs.
Watch out
It has few public users for infrastructure this deep, and some setup paths go through the vendor's cloud console, so check what the open repo covers on its own.
Ready for
Usable
Runs as
Self-hosted server
Built with
Go, C and Kubernetes
How established
Established: started 2 years ago, latest release v2.18.6.
What the license allows
You can build it into a product you sell, as long as you keep its copyright notice.

Judged on 2026-11-06 from the project's README and GitHub data. The license and age lines are worked out directly.

Built from

Follow it down: Tensor Fusion → Go → runs on a microchip

How compilers were built, back to punched paper tape

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Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.