Gradient + NVIDIA

What happens when the world’s most advanced ML platform meets the world’s fastest GPU cluster.

Paperspace Gradient is a perfect complement to NVIDIA DGX, including the brand new DGX A100, for machine learning workflows. Gradient enables shared DGX resources across many users with ease while maintaining CI/CD, experiment lifecycle management, monitoring, and multi-node training.

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System Specifications

The NVIDIA DGX A100 system specifications include:

  • Eight NVIDIA A100  Tensor Core GPUs, delivering 5 petaflops of AI power, with 320GB in total GPU memory with 12.4TB  per second in bandwidth.
  • Six NVIDIA NVSwitch™ interconnect fabrics with third-generation NVIDIA NVLink® technology for 4.8TB  per second of bi-directional bandwidth.
  • Nine Mellanox ConnectX-6 HDR 200Gb per second network interfaces, offering a total of 3.6Tb  per second of bi-directional  bandwidth.
  • Mellanox In-Network Computing and network acceleration engines such as RDMA, GPUDirect® and Scalable Hierarchical Aggregation and Reduction Protocol (SHARP)™ to enable the highest performance and scalability.
  • 15TB  Gen4 NVMe internal storage, which is 2x faster than Gen3 NVMe SSDs.
  • NVIDIA DGX software stack, which includes optimized software for AI and data science workloads, delivering maximized performance and enabling enterprises to achieve a faster return on their investment in AI infrastructure.

Developer-first MLOps platform with native DGX support.
Gradient lets you effortlessly scale from local cluster to the cloud.

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Resource management

Go from signup to training a model in 30 seconds. Leverage pre-configured templates and library of sample projects.

Powerful infrastructure

Powerful, low-cost GPUs you can launch with 1-click as well as infrastructure automation for on-prem clusters.

Scale instantly

Train in parallel and scale deployed models without any DevOps required. 1-click distributed training and hyperparemeters.

Full reproducibility

Automatic versioning, tagging, and life-cycle management. Build, evaluate, profile, and compare how different models perform.

Automated pipelines

Build powerful ML pipelines with modern, reproducible, and deterministic processes. Gradient is CI/CD for Machine Learning.

Collaboration and Insights

Improve visibility into team performance. Share projects with colleagues or leverage public projects.

And much more...

  • Model parsing and aggregation
  • System metrics
  • Team management
  • Pull request metrics
  • Custom container support
  • Dataset tracking
  • IDE
  • Unified logs
  • Private registries
  • Python CLI and SDK
  • Inference load-balancing
  • Tag management
  • Model repo
  • Native TensorBoard integration
  • gRPC & MPI support
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A modern ML stack built for the future

Full end-to-end ML for your entire team.
Gradient lets you move faster by ensuring that every step in your process is reproducible.

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NEW! Gradient partners with NVIDIA
View the blog post announcing our new partnership with NVIDIA. Learn more