Megatron-LM
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Explore more → **Megatron-LM**
What is Megatron-LM?
Megatron-LM is a large-scale transformer training library developed by NVIDIA that enables efficient training of massive language models using techniques like tensor, pipeline, and sequence parallelism.
What other technologies are related to Megatron-LM?
Megatron-LM Competitor Technologies
DeepSpeed
Microsoft's DeepSpeed is an alternative deep learning optimization library that provides similar 3D parallelism features for training large language models.
FSDP
Fully Sharded Data Parallel (FSDP) in PyTorch is a native alternative to Megatron-LM's tensor and pipeline parallelism for large-scale model training.
JAX
JAX is Google's framework for high-performance machine learning research and serves as an alternative ecosystem for large-scale model training.
TensorFlow
TensorFlow is an alternative deep learning framework used for building and training machine learning models.
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Megatron-LM Complementary Technologies
vLLM
vLLM is an inference and serving engine that can ingest model weights trained using Megatron-LM for high-throughput generation.
SGLang
SGLang is a fast serving and execution engine for large language models, complementing Megatron-LM by handling the inference phase.
NVIDIA Triton
NVIDIA Triton Inference Server is often used to deploy and serve models that have been trained and optimized using Megatron-LM.
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Which job functions commonly mention Megatron-LM?
MLOps Engineer
0.1% of all MLOps Engineer jobs mention Megatron-LM
View 28
jobs on Sumble
Performance Engineer
0.1% of all Performance Engineer jobs mention Megatron-LM
View 44
jobs on Sumble
Machine Learning
0.1% of all Machine Learning jobs mention Megatron-LM
View 117
jobs on Sumble
AI Engineer
0.1% of all AI Engineer jobs mention Megatron-LM
View 169
jobs on Sumble
Solutions Architect
60 Solutions Architect jobs mention Megatron-LM
View 60
jobs on Sumble
Which organizations are mentioning Megatron-LM?
Oak Ridge National Laboratory
Public Administration
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