Paperspace

vs

Lambda Labs

An alternative to Lambda Labs for high-performance GPU computing in the cloud

Lambda Labs is known for selling physical computers which come with physical GPU cards. Recently Lambda has started to offer a GPU service in the cloud. The service offers a solid assortment of GPUs with high performance-to-price ratios but the service is extremely simple in its implementation, offering Jupyter notebook and a way to SSH into the machine.

Sometimes all you need is to spin-up a GPU server and SSH into it or run a Jupyter notebook -- Paperspace as well is great at these simple tasks. But when it comes to scaling, persisting data, issuing public IPs, and so forth, Paperspace exceeds Lambda's capabilities.

Wider selection of GPUs

Lambda has some of the most popular deep learning-centric GPUs such as the NVIDIA RTX 6000, A6000, and V100 16 GB -- but the selection is fairly limited. By contrast, Paperspace has more than a dozen different kinds of GPUs with vastly more configuration options including multi-GPU instances, high-memory instances such as the V100 32 GB, and higher top-end machines such as the A100 80 GB available in 1x, 2x, 4x, and 8x configurations.

Core competences

Paperspace is first and foremost a GPU cloud infrastructure provider. Lambda is primarily a hardware vendor. Although Lambda possesses legitimate expertise in the design and manufacture of GPU-backed computers -- the cloud product lags behind the hardware product.

Deep learning software stack

In addition to virtual machines and GPU-backed servers, Paperspace also provides Gradient, which is a software stack for deep learning users to run notebooks, create workflows, and serve deployments. Paperspace provides a huge number of tools in the cloud to deep learning users that Lambda does not.

Comparing GPUs from Paperspace and

Lambda Labs

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Paperspace

Comparing GPUs from Paperspace and

Lambda Labs

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Paperspace

Comparing GPUs from Paperspace and

Lambda Labs

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Paperspace

Comparing GPUs from Paperspace and

Lambda Labs

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Paperspace

Comparing GPUs from Paperspace and

Lambda Labs

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Paperspace

Comparing GPUs from Paperspace and

Lambda Labs

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Lambda Labs
Paperspace

Comparing GPUs from Paperspace and

Lambda Labs

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Lambda Labs
Paperspace

Comparing GPUs from Paperspace and

Lambda Labs

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Paperspace

Comparing GPUs from Paperspace and

Lambda Labs

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Comparing features from Paperspace and

Lambda Labs

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Paperspace
Linux
Windows
SSH
Public IP
Free GPUs
Jupyter
Shared Persistent Storage
10+ GBPS
AMD Support
CPU-only Support

Why does Paperspace win the comparison with Lambda Labs?

Lambda Labs is an excellent hardware provider for GPU users who need to run their machines flat-out 24/7 and have the budget to do so. Lambda Cloud is taking some of these learnings into the cloud to provide GPUs but the stability and quality of the service lags behind some competitors.

Meanwhile, Paperspace provides a wider selection of GPUs in the cloud with more data centers, more configuration options at the GPU, system, and administrative levels, and provides an excellent developer-first experience to help individuals and teams get up and running quickly in the cloud.

Looking for GPU cloud pricing information?

Check out the Ultimate Guide to GPU Cloud Providers! It's all there!

Did we leave something out?

Or do you have a question about this comparison that isn't answered? Please let us know!

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Users

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Compute hours

1M+

Jupyter notebooks

Server

Linux SSH

Paperspace Linux machines help you train the most demanding ML models. Scale from a single instance to an entire cluster with a few clicks.

Popular Features

  • Preloaded with ML frameworks
  • Latest NVIDIA GPUs
  • Blazing fast low-cost GPUs
desktop

Windows Desktop

Paperspace Desktops are super fast virtual computers you can use for anything from streaming to rendering to remote work and more.

Popular Features

  • Ultra responsive streaming
  • Shared storage
  • Wide range of CPU & GPU instances

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