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FasterTransformer Alternatives
Similar projects and alternatives to FasterTransformer
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TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
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transformer-deploy
Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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parallelformers
Parallelformers: An Efficient Model Parallelization Toolkit for Deployment
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optimum
🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools
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DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
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wenet
Production First and Production Ready End-to-End Speech Recognition Toolkit
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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fastT5
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
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transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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server
The Triton Inference Server provides an optimized cloud and edge inferencing solution. (by triton-inference-server)
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CodeGen
CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
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lightseq
LightSeq: A High Performance Library for Sequence Processing and Generation
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better FasterTransformer alternative or higher similarity.
FasterTransformer reviews and mentions
Posts with mentions or reviews of FasterTransformer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-08.
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Train Your AI Model Once and Deploy on Any Cloud
https://docs.nvidia.com/ai-enterprise/overview/0.1.0/platfor...
RIVA: NVIDIA® Riva, a premium edition of NVIDIA AI Enterprise software, is a GPU-accelerated speech and translation AI SDK
FasterTransformer: https://github.com/NVIDIA/FasterTransformer an
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Whether the ML computation engineering expertise will be valuable, is the question.
There could be some spectrum of this expertise. For instance, https://github.com/NVIDIA/FasterTransformer, https://github.com/microsoft/DeepSpeed
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Exploring Ghostwriter, a GitHub Copilot alternative
Replit built Ghostwriter on the open source scene based on Salesforce’s Codegen, using Nvidia’s FasterTransformer and Triton server for highly optimized decoders, and the knowledge distillation process of the CodeGen model from two billion parameters to a faster model of one billion parameters.
- Why are self attention not as deployment friendly?
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[P] What we learned by making T5-large 2X faster than Pytorch (and any autoregressive transformer)
Nvidia FasterTransformer is a mix of Pytorch and CUDA/C++ dedicated code. The performance boost is huge on T5, they report a 10X speedup like TensorRT. However, the speedup is computed on a translation task where sequences are 25 tokens long on average. In our experience, improvement on very short sequences tend to decrease by large margins on longer ones. Still we plan to dig deeper into this project as it implements very interesting ideas.
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[P] Python library to optimize Hugging Face transformer for inference: < 0.5 ms latency / 2850 infer/sec
On the other side of the spectrum, there is Nvidia demos (here or there) showing us how to build manually a full Transformer graph (operator by operator) in TensorRT to get best performance from their hardware. It’s out of reach for many NLP practitioners and it’s time consuming to debug/maintain/adapt to a slightly different architecture (I tried). Plus, there is a secret: the very optimized model only works for specific sequence lengths and batch sizes. Truth is that, so far (and it will improve soon), it’s mainly for MLPerf benchmark (the one used to compare DL hardware), marketing content, and very specialized engineers.
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A note from our sponsor - WorkOS
workos.com | 16 Apr 2024
Stats
Basic FasterTransformer repo stats
7
5,411
4.3
20 days ago
NVIDIA/FasterTransformer is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of FasterTransformer is C++.
Popular Comparisons
- FasterTransformer VS TensorRT
- FasterTransformer VS onnxruntime
- FasterTransformer VS transformer-deploy
- FasterTransformer VS parallelformers
- FasterTransformer VS wenet
- FasterTransformer VS DeepSpeed
- FasterTransformer VS optimum
- FasterTransformer VS fastT5
- FasterTransformer VS transformers
- FasterTransformer VS lightseq
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