FasterTransformer

Overview

FasterTransformer is an open-source framework that accelerates transformer model inference. It implements optimized kernels and memory management for models like BERT and GPT. Written in C++, it provides high-performance execution on NVIDIA GPUs.

Best for

Best for
Developers seeking maximum inference performance for transformer models on NVIDIA hardware

Use cases

• Deploying large BERT models for low-latency inference
• Running GPT-based text generation with higher throughput
• Optimizing transformer inference on NVIDIA GPUs

Notes

FasterTransformer is an open-source framework that accelerates transformer model inference. It implements optimized kernels and memory management for models like BERT and GPT. Written in C++, it provides high-performance execution on NVIDIA GPUs.

6,418 stars on GitHub. Last updated 2024-03-27. Licensed Apache-2.0.

Use cases

• Deploying large BERT models for low-latency inference
• Running GPT-based text generation with higher throughput
• Optimizing transformer inference on NVIDIA GPUs

Pros

• Delivers state-of-the-art inference speed for supported transformers
• Actively maintained with strong community adoption (6,418 stars)
• Fine-tuned for NVIDIA GPU architectures

Cons

• Limited to NVIDIA GPUs, no CPU or other hardware support
• C++ codebase requires compilation and integration effort
• Does not offer a high-level API; manual configuration needed

Indexed from awesome-llm and enriched against its public facts.