
How do you run sensitive workloads on machines you don't own? Today’s decentralized compute networks run fully public workloads where the user’s data is fully visible to the operator. While these networks bring down the cost of compute, they are not yet secure or robust enough for the enterprise to trust. Without the ability to sell into the enterprise, it has historically been difficult to build a sustainable economic flywheel.
So we built TVM to solve the hardest problem in decentralized compute: enable secure workloads on untrusted host machines.
We worked closely with the Intel team to incorporate Intel TDX into our technology, enabling full encryption in memory. The host operator can't see your data, your model weights, or your code. Intel co-authored a whitepaper validating the architecture.
While TVM enables secure workloads on trusted hardware, the technology still has constraints. It requires Intel TDX-capable CPUs and Nvidia datacenter GPUs (e.g., H100s, H200s, B200s). TVM today does not cover consumer hardware like RTX 4090s or 3090 clusters, and it provisions containers rather than full virtual machines—limiting flexibility for customers.
Those constraints exist for good reason. TDX provides the strongest hardware-level trust guarantees available today. But they also limit participation to a small fraction of global compute. Millions of GPUs remain idle and unusable within the current network.
TargonOS is how we unlock that compute.
TargonOS is a hardened Linux distribution that turns any machine into a Targon node.
The operator downloads an ISO, flashes it to a USB drive, boots from it, enters their hotkey, and within minutes the machine joins the network and begins earning incentives via TAO.
From that point on, the system is fully autonomous:
The operator’s only interface is a dashboard showing uptime and earnings.
Under the hood, TargonOS provisions fully encrypted virtual machines for customers:
TVM requires Intel TDX, limiting participation to modern Xeon servers and datacenter GPUs. That excludes the vast majority of global compute capacity.
TargonOS removes this restriction.
Any machine with a TPM 2.0 chip—effectively most hardware from the last decade—can join the network. This unlocks:
More supply reduces costs for customers and improves ROI for operators.
TVM provides containerized workloads behind a proxy, which works well for inference and serverless use cases.
But many workloads require more control:
TargonOS provisions full virtual machines:
Running a TVM node today requires:
This is too complex for most operators.
TargonOS simplifies everything:
The operator’s only responsibility is keeping the machine online.
TVM relies on Intel TDX for hardware-level memory encryption. TargonOS uses a different trust model based on TPM and distributed key management.
At boot:
Keys are rotated on every reboot.
If:
This model does not match TDX-level guarantees.
With TDX:
With TargonOS:
Because of this, TargonOS operates as a separate trust tier.
Targon provides two classes of compute:
From the customer perspective:
Only differences:
TargonOS is currently in active development.
We are targeting:
If you have hardware you want to contribute to the network, we’d love to hear from you.
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