AWS Trainium (trn1)
0
CUDA Cores
32GB
VRAM
0
GB/s
Technical Specifications
0
CUDA Cores
0
Base MHz
0
Boost MHz
32GB HBM
0-bit bus
Performance
40
FP32 TFLOPS
80
FP16 TFLOPS
0W
TDP
Cloud Availability
0
Available Instances
$0.00/hr
Starting Price
Detailed Specifications
| Architecture | Trainium v1 (Unknown) |
| Release Date | 2021-12-01 |
| Launch Price | $2,000.00 |
| Process | |
| Transistors |
AI Features
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
About Trainium (trn1) GPU
The AWS Trainium (trn1) is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 32GB of VRAM and 0 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2021, the Trainium (trn1) features Trainium v1 architecture with advanced AI accelerators including Tensor Cores and Transformer Engine support. This makes it ideal for large language models, computer vision tasks, and generative AI applications.
When considering cloud rental options for the Trainium (trn1), pricing starts at $0.00/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 0 GB/s enabling fast data transfer for large datasets.
The Trainium (trn1) features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its None manufacturing process ensures efficient power consumption relative to performance output.
External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
Top GPUs for Training and Inference
| Category | Rank 1 | Rank 2 | Rank 3 |
|---|---|---|---|
| Best for Training | NVIDIA H200 | NVIDIA H100 | NVIDIA B200 |
| Best for Inference | NVIDIA A40 | NVIDIA A100 | NVIDIA A10 |
Compare GPU specifications and cloud instances to find the best GPU for your workload.