Plan a training run

Train the models only
you can build.

Bring your model and data. We compile the kernels, find the cheapest capable hardware across providers and operate the run, from 1 GPU to 10,000.

Plan a training runTalk to an engineer
Tensor Cloud demo
Built for model builders

One training stack. Two 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.

Domain data
Base reasoning
Human feedback
Specialist model

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
1 GPU
4 GPUs
16 GPUs
10,000 GPUs

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

70%

Cut the price of training runs by an average of 70%.

02. From research to training

Hours,not months.

From a working training repo to an optimized, managed fleet.

03. Scale, zero code changes

1to10,000GPUs

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$1.7/gpu/hr
Provider B$1.4/gpu/hr
Provider C$2.1/gpu/hr
Training

Tensor Cloud

Live

Tensor Cloud automatically finds the cheapest hardware across providers, then orchestrates the job and handles placement, checkpointing and failure recovery, whether you need 1 or 10,000 GPUs.

Plan a training run
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.

Learn More
Emma Language

Emma Language

Emma is where our vision started: a language that abstracts away the quirks of individual platforms without giving up hand-tuned performance. Write it once, target GPUs today, TPUs tomorrow and whatever comes next.

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Pricing

Pay for savings, not seats.

We charge a share of the verified savings against your baseline cost. If we don’t cut your bill, you don’t pay.

Tensor Cloud

For teams looking to run experiments and medium-scale training jobs.

BasicProEnterprise
Max GPUs864Custom
Jupyter notebooks
Kernel optimization
Run in your own cloud
SupportStandardPriorityDedicated
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Forward-Deployed

For teams looking to scale their training runs and need support and control over their infrastructure.

Talk to an engineer
Run up to 10,000 GPUs
Run in your own cloud
Dedicated engineering support
24/7 white-glove support
Custom kernel optimization
Strict SLAs tailored to your requirements
Capacity planning and proactive monitoring

Your model is the advantage. Infrastructure shouldn't be the constraint.

Bring the model, data and ambition. We'll optimize the kernels, orchestrate the fleet and deliver the training outcome.

Plan a training runTalk to an engineer

Train the models only you can build. One stack for enterprise post-training and frontier pre-training.

All Systems Operational

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