Megatron Models by NVIDIA AI
Last refreshed 2026-05-19. Next refresh: weekly.
Details
Capabilities
About
Megatron is a series of large language models developed by NVIDIA, recognized for their exceptional capability in handling vast quantities of parameters. These transformer-based models achieve cutting-edge results in various natural language processing tasks due to their innovative architecture, which includes tensor, pipeline, and sequence parallelism. This design allows for efficient distribution of computational workload across multiple GPUs, enabling the training of models with billions to trillions of parameters, something that would be unmanageable on a single machine. The framework's modularity permits customization for specific use cases, making it flexible for researchers and developers. Its efficiency is further enhanced by optimized fused kernels and other technical improvements, making Megatron ideal for pre-training before fine-tuning for tasks such as text generation, translation, and question answering 12.
Decision facts
- Best fit
- reasoningcode executioncoding
- Capability starting point
- Megatron GPT 5B with reasoning
- Lowest tracked input
- Not tracked
- Closest related family
- NVIDIA Nemotron Nano 12B v2 VL
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 5B parameters, reasoning, and code execution.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Megatron GPT 20B | Use when the workload needs 20B parameters. | 2019-08 | 20B parameters | Current |
| Megatron GPT 5B | Use when the workload needs 5B parameters, reasoning, and code execution. | 2019-08 | 5B parametersreasoningcode execution | Current |
| Megatron GPT 1.3B | Use when the workload needs 1.3B parameters. | 2019-08 | 1.3B parameters | Current |
Release Timeline
1 release groupSpecifications(3 models)
| Model | Released | Parameters | Reasoning | Code Exec |
|---|---|---|---|---|
| Megatron GPT 20B | 2019-08 | 20B | No | No |
| Megatron GPT 5B | 2019-08 | 5B | Yes | Yes |
| Megatron GPT 1.3B | 2019-08 | 1.3B | No | No |




