TRN1N Accelerated Computing
⚡ GPU AcceleratedHardware accelerators (GPUs, FPGAs) for specialized compute.
Name:
trnAWS Trainium Acceleratorstrn = AWS Trainium AcceleratorsPurpose-built AWS Trainium silicon engineered for high-performance, cost-effective deep learning model training.11st Generation1 = 1st GenerationAWS 1st generation hardware platform with updated CPU/system architecture.nEnhanced Networkingn = Enhanced NetworkingEnhanced networking capabilities delivering up to 100/200/400 Gbps network bandwidth and Elastic Fabric Adapter (EFA) support.Common use cases
- Machine learning training/inference
- High-performance computing
- Graphics rendering
Instance types (1)
With a 3-year Compute Savings Plan (No Upfront), trn1n sizes on Linux in US East (N. Virginia) (us-east-1) cost 54% less than the on-demand rate. Each size's page has the rates in every region. How Savings Plans are applied.
| Instance | vCPU | Memory | GPU Count | GPU Memory | Memory Type | Architecture | From (Linux, $/hr) |
|---|---|---|---|---|---|---|---|
| trn1n.32xlarge | 128 | 512 GB | 16x | 512.0 GB | Standard | x86_64 | $24.7800 |