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SF Tensor

Hugging Face
PyTorch
AWS

GPU infrastructure for AI research labs

About SF Tensor

SF Tensor is a platform designed for teams looking to run experiments and medium-scale training jobs. It offers solutions tailored to the specific needs of users, whether for individual projects or team initiatives. With the ability to manage up to 64 GPUs, SF Tensor allows for automatic kernel optimizations and easily adapts to the user's cloud environment. For larger teams, the Enterprise offer provides dedicated support and custom infrastructure. The value proposition lies in the alignment of incentives, where services are priced based on the savings delivered to clients.

Source: SF Tensor official website

Key Features

Run experiments

Easily launch experimentation projects

Manage up to 8 GPUs

Ideal for small teams

Create jupyter notebooks

Facilitates development and analysis

Automatic kernel optimization

Enhances execution performance

Run up to 64 GPUs

For larger scale projects

Custom cloud options

Tailor the environment to your needs

Dedicated support

Assistance for Enterprise users

Proactive monitoring

Track performance and identify issues

Capacity planning

Anticipate your infrastructure needs

Strict SLAs

Guarantees tailored to your requirements.

Practical Use Cases

Run simulations for machine learning
Optimize deep learning models
Analyze massive datasets
Starting from
Free
usage-based
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