Send message to Spell

Please fill in your contact details and specify your request to be contacted by the solution provider.

Spell

Spell is an infrastructure platform for AI and Deep Learning. We provide simple tools that are flexible enough to meet any workflow and robust enough to scale with you as you grow. Our pre-built environments ensure your engineers can start coding immediately using the tools and frameworks they’re already familiar with.
This company has not added images yet!

Company Description

We built Spell to be like the bash '&' operator but for sending work to more powerful remote GPU and CPU instances. This means you don’t need to learn new commands or Spell-specific jargon to get started. All you have to do is add the `spell` command to send work to our remote servers.

Key Products

See All Products

Spell

Spell is an end-to-end data science and machine learning platform that provides the infrastructure for companies and developers to prepare,...

Spell

Technology

Making developer tools is a huge passion of mine. When I first saw Spell, I was blown away by how simple and elegant it was. Having wrestled with provisioning and configuring ML environments a lot, I immediately understood the power of Spell. It really feels like magic. I'm thrilled to be partnering with Spell and can't wait to see what our users create. CHRIS VAN PELT, CO-FOUNDER AT WEIGHTS & BIASES

Spell

Technology

One of the big advantages of Spell was our team could get up and running right away without slowing down ongoing projects. Spell plugged in seamlessly to our existing infrastructure and tools and we could migrate workloads as we saw more and more value. CHRIS ACKERSON, DIRECTOR OF PRODUCT AT ALPHASENSE

Spell

Technology

At this point, I've trained 100's of models on Spell. It's amazing to never have to think about infrastructure - I feel like I can go directly from idea to training a model. There's a lot of talk about the democratization of machine learning, but in practice it's quite difficult to set up the necessary building blocks to train much more than a toy model. Spell seems like a real step forward in making machine learning approachable for more people. DANNY MEYER, ML ENGINEER AT ORIGINATE

Spell

Technology

I had the opportunity to work with Spell on a challenge for Omdena to preprocessing our datasets. This was a great experience because on my laptop this process took many hours while on Spell it was much faster and my laptop didn't freeze. Additionally, Spell had logs where I can monitor my process, kill the run if it is necessary, and I can see how long the run is so I can monitor performance in my code. ANA LOPEZ, ML ENGINEER AT OMDENA

Multiple

Spell

Spell is an end-to-end data science and machine learning platform that provides the infrastructure for companies and developers to prepare, train, deploy, and m

Spell

Technology

Making developer tools is a huge passion of mine. When I first saw Spell, I was blown away by how simple and elegant it was. Having wrestled with provisioning and configuring ML environments a lot, I immediately understood the power of Spell. It really feels like magic. I'm thrilled to be partnering with Spell and can't wait to see what our users create. CHRIS VAN PELT, CO-FOUNDER AT WEIGHTS & BIASES


Spell

Technology

One of the big advantages of Spell was our team could get up and running right away without slowing down ongoing projects. Spell plugged in seamlessly to our existing infrastructure and tools and we could migrate workloads as we saw more and more value. CHRIS ACKERSON, DIRECTOR OF PRODUCT AT ALPHASENSE


Spell

Technology

At this point, I've trained 100's of models on Spell. It's amazing to never have to think about infrastructure - I feel like I can go directly from idea to training a model. There's a lot of talk about the democratization of machine learning, but in practice it's quite difficult to set up the necessary building blocks to train much more than a toy model. Spell seems like a real step forward in making machine learning approachable for more people. DANNY MEYER, ML ENGINEER AT ORIGINATE


Spell

Technology

I had the opportunity to work with Spell on a challenge for Omdena to preprocessing our datasets. This was a great experience because on my laptop this process took many hours while on Spell it was much faster and my laptop didn't freeze. Additionally, Spell had logs where I can monitor my process, kill the run if it is necessary, and I can see how long the run is so I can monitor performance in my code. ANA LOPEZ, ML ENGINEER AT OMDENA


Company Details

Headquarter

Not Available

Number of Employees

10-20

Founding Year

2017

Solution Tags

Not Available

Social Media

We use cookies to enhance the functionality of our site and anonymous analytics. With your permission, we may also use cookies to share information about your use of our Site with our social media and analytics partners. To learn more, see our privacy policy.