Union Serverless Broadens Support for NVIDIA Accelerated Computing

Union Serverless users can now harness the power of NVIDIA A100 Tensor Core GPUs and NVIDIA L4 Tensor Core GPUs, in addition to our existing support for NVIDIA T4 GPUs, with NVIDIA H100 Tensor Core GPUs coming soon.

Modern machine learning development requires access to production-grade GPU hardware optimized for parallelized computation and high throughput. Union Serverless makes it easier than ever to develop and scale your ML applications with expanded GPU access that now includes NVIDIA A100 GPUs. Use the Union Serverless platform to first develop locally in Python and then seamlessly orchestrate complex jobs and efficiently run distributed training in the cloud.

For specific examples on how to leverage NVIDIA A100 GPUs to build out rich ML applications, see:

• Credit Default Prediction with XGBoost & NVIDIA RAPIDS
• Forecasting with GluonTS & PyTorch on GPUs
• HDBSCAN Soft Clustering With Headline Embeddings on GPUs

Learn more: Introducing A100s