Technology
AWS Sagemaker (NVIDIA A10G)
AWS SageMaker on NVIDIA A10G instances (ml.g5) delivers high-performance, cost-efficient GPU acceleration for mid-sized machine learning training and real-time inference.
When you run Amazon SageMaker on NVIDIA A10G GPU instances (the ml.g5 family), you get a highly optimized environment built for modern AI workloads. Each A10G GPU packs 24 GB of GDDR6 memory and 250 Tensor Cores, making it the ideal sweet spot for deploying large language models, running real-time computer vision pipelines, and training mid-sized deep learning models without the massive price tag of enterprise-grade H100s. SageMaker fully manages the underlying infrastructure, allowing you to spin up these G5 instances on demand for Jupyter notebooks, distributed training jobs, or auto-scaling multi-model endpoints with minimal configuration.
https://aws.amazon.com/ec2/instance-types/g5/
What builders pair with AWS Sagemaker (NVIDIA A10G)
Projects using both technologies. Select a pairing to see a project.
4 more pairings
Pairing: ALIGNN
Transformer-Diffusion model for molecular battery material generation
Pairing: Amazon SageMaker
Transformer-Diffusion model for molecular battery material generation
Pairing: CDVAE
Transformer-Diffusion model for molecular battery material generation
Pairing: CHGNet
Transformer-Diffusion model for molecular battery material generation
Pairing: Hugging Face
Transformer-Diffusion model for molecular battery material generation
Pairing: Llama 3
Transformer-Diffusion model for molecular battery material generation
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