Train the models only
you can build.

One stack for enterprise post-training and frontier pre-training. Bring your model and data; we optimize the kernels, orchestrate the infrastructure, and run every workload on the best hardware for the outcome.

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Trusted by top researchers at

Built for model builders

The same hard infrastructure. Two different ambitions.

Whether you are teaching a model what makes your company unique or training a new model from scratch, SF Tensor turns training into an outcome instead of an infrastructure project.

For enterprises

Turn proprietary data into proprietary advantage.

Continuously post-train models on the domain knowledge your organization already owns—without handing over the data or assembling an ML infrastructure team.

Private-data post-training

Specialist and on-edge models

Deploy in your cloud or ours

Explore enterprise AI

For AI labs

Train frontier ideas, not infrastructure teams.

Take a novel architecture from one GPU to a frontier run across the best available hardware, with optimized kernels and resilient infrastructure built in.

Frontier-scale pre-training

Cross-vendor portability

1 to 10,000 GPUs

Explore pre-training for labs

The outcome

Buy the training outcome.
We'll handle how it runs.

Choose the model, data, budget, and deadline. SF Tensor turns fragmented compute into a reliable training system.

01. Average training savings

Up to0%

Optimize placement, kernels, and utilization across providers before each run starts.

02. From research to training

Hoursvs months

Move from a working training repo to an optimized, managed fleet without months of infrastructure work.

03. Scale, zero code changes

1to0GPUs

Use the same workflow for a single experiment or a fleet-scale training job.

The stack

Every layer between code and compute.

One system chooses the hardware, optimizes the workload, proves the generated kernels, and operates the training run.

Run

H100 x 8

Found Cheapest H100

Provider A$1.4/gpu/hr

Provider B$1.4/gpu/hr

Provider C$1.4/gpu/hr

Training

Tensor Cloud

Live

Tensor Cloud automatically finds the cheapest hardware across providers, then orchestrates your training jobs and manages all the infrastructure complexity for you, whether you need 1 or 10,000 GPUs.

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Training Kernel

Optimizer

Optimized Kernel

Kernel Optimizer

Live

Our optimizer searches workload-specific kernels, models memory and hardware topology, and formally verifies the result before it reaches a production training run.

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Emma Language

Emma, where our vision started is built to abstract away the quirks of individual platforms while still giving you the performance you’d expect from hand-tuned kernels. With Emma, you can target GPUs today, TPUs tomorrow, and whatever comes next — all without rewriting your codebase.

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Pricing

Choose Your Option

Every team is different, we always make sure that our incentives are aligned, by pricing our services based on the amount of savings we can deliver you.