CUDA Cores
VRAM
GB/s
0
CUDA Cores
0
Base MHz
0
Boost MHz
144GB HBM3e
0-bit bus
40
FP32 TFLOPS
80
FP16 TFLOPS
0W
TDP
0
Available Instances
$0.00/hr
Starting Price
| Architecture | Trainium v3 (3nm) (Unknown) |
| Release Date | 2025-12-01 |
| Launch Price | $2,000.00 |
| Process | 3nm |
| Transistors |
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
The AWS Trainium3 (trn3) is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 144GB of VRAM and 0 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2025, the Trainium3 (trn3) features Trainium v3 (3nm) 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 Trainium3 (trn3), 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 Trainium3 (trn3) features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 3nm manufacturing process ensures efficient power consumption relative to performance output.
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
| 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.