Leading with open Models, frameworks, and systems
Deploying Large Language Models in Production: LLM Deployment Challenges
Deploying Large Language Models in Production: LLM Deployment Challenges
Learn about the deployment challenges that come up when users want to deploy LLMs within their own environment.
www.seldon.io
On Optimizing the communication of model parallelism
How to Maximize Throughput of Your Deep Learning Inference Pipeline
How to Maximize Throughput of Your Deep Learning Inference Pipeline
Learn the latest features that equip you with the ability to get even more compute power out of your hardware devices.
deci.ai
Scaling Up LLM Pretraining: Parallel Training
Larger-scale model training on multi-GPU systems
LLM Inference Hardware: Emerging from Nvidia's Shadow
LLM Inference Hardware: Emerging from Nvidia's Shadow
Subscribe • Previous Issues Beyond Nvidia: Exploring New Horizons in LLM Inference The landscape of large language models (LLMs) and Generative AI (GenAI) is undergoing rapid transformation, fueled by surging interest from executives and widespread inter
gradientflow.substack.com
7 Ways To Speed Up Inference of Your Hosted LLMs
7 Ways to Speed Up Inference of Your Hosted LLMs
TLDR; techniques to speed up inference of LLMs to increase token generation speed and reduce memory consumption
betterprogramming.pub
Harmonizing Multi-GPUs: Efficient Scaling of LLM Inference
Harmonizing Multi-GPUs: Efficient Scaling of LLM Inference
Massively parallel hardware accelerators, such as GPUs, have played a key role in providing the computational power required to train…
medium.com
7 Frameworks for Serving LLMs
Finally, a comprehensive guide into LLMs inference and serving with detailed comparison.
betterprogramming.pub
Exploring Parallel Computing Strategies for GPU Inference
Exploring Parallel Computing Strategies for GPU Inference - NADDOD Blog
The importance of optical transceivers in GPU parallel computing: efficient data transfer, collaboration, scalability, and flexibility.
www.naddod.com
[D] Attention Mystery: Which Is Which - q, k, or v?
From the MachineLearning community on Reddit: [D] Attention Mystery: Which Is Which - q, k, or v?
Explore this post and more from the MachineLearning community
www.reddit.com
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