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@sambhav
Sambhav Kothari sambhav
Head of AI Productivity @bloomberg. Open-sourcerer. Maintainer for various CNCF and Python projects.

@bloomberg London, UK

@karpathy
Andrej karpathy
I like to train Deep Neural Nets on large datasets.

Stanford

@llamastack
Llama Stack llamastack
Building blocks for an AI Platform
@lattner
Chris Lattner lattner

Bay Area, California, USA

@zanetworker
Adel Zaalouk zanetworker
Just another Samurai!

Red Hat Germany

@llm-d-incubation
llm-d incubation llm-d-incubation
Incubating components of llm-d, a Kubernetes-native high-performance distributed LLM inference framework
@shimmyshimmer
Michael Han shimmyshimmer
Hi I'm Michael. I'm currently building Unsloth!

Unsloth AI Sydney

@danielhanchen
Daniel Han danielhanchen
Unsloth - 2x faster 70% less VRAM finetuning Llama-3.1, Mistral, Gemma-2, Phi-3

San Francisco

@trustyai-explainability
TrustyAI trustyai-explainability
TrustyAI Explainability Toolkit
@ai-dynamo
Dynamo ai-dynamo

United States of America

@liquibase
Liquibase liquibase
Easily track, version, and deploy database schema changes.

United States of America

@spinnaker
spinnaker
Spinnaker is an open source, multi-cloud continuous delivery platform for releasing software changes with high velocity and confidence.
@Cloud-CV
CloudCV Cloud-CV
Building platforms for reproducible AI research

Georgia Tech

@modelcontextprotocol
Model Context Protocol modelcontextprotocol
An open protocol that enables seamless integration between LLM applications and external data sources and tools.
@chengzeyi
C chengzeyi
Building the Fastest Inference Performance Optimization Framework for Generative AI Models

https://wavespeed.ai/ wavespeed.ai

@terrytangyuan
Yuan Tang terrytangyuan
Senior Principal Engineer at Red Hat | Lead @argoproj @kubeflow @kserve @cncf | Maintainer @tensorflow XGBoost | Author | Speaker | Advisor

Red Hat USA

@BoxiangW
Boxiang Wang BoxiangW
There are no solutions, there are only trade-offs.

@NVIDIA Sunnyvale, CA

@ScalingIntelligence
Scaling Intelligence Lab ScalingIntelligence
AI and Systems Laboratory led by Professor Azalia Mirhoseini

United States of America

@sayakpaul
Sayak Paul sayakpaul
ML at @huggingface | One PR at a time

@huggingface India

@openshift-psap
PSAP openshift-psap
Performance and Scale for AI Platforms
@skypilot-org
skypilot-org
Run, manage, and scale AI workloads on any AI infrastructure.
@dstackai
dstack dstackai
dstack is an open-source engine for running GPU workloads. It simplifies development, training, and deployment of gen AI models on any cloud.

Germany

@neuralmagic
Neural Magic neuralmagic
Neural Magic (Acquired by Red Hat) empowers developers to optimize & deploy LLMs at scale. Our model compression & acceleration enable top performance with vLLM

Boston

@efeslab
Efeslab efeslab
Efeslab at the University of Washington
@FedML-AI
TensorOpera (Formerly FEDML) FedML-AI
TensorOpera - Your Generative AI Platform at Scale

United States of America

@fixie-ai
Fixie.ai fixie-ai
Fixie is the platform for building and managing LLM powered applications

United States of America

@merrymercy
Lianmin Zheng merrymercy
Training by day, inference by night.

xAI Bay Arena, CA

@zhuzilin
Zilin Zhu zhuzilin
☀️ RL infra @Z.ai, ex WeChat AI

Z.ai Beijing

@hao-ai-lab
Hao AI Lab hao-ai-lab

United States of America

@SafeAILab
SafeAI Lab (SAIL) SafeAILab
We are an AI lab with a focus on making AI safer and accessible to everyone, led by Hongyang Zhang.
@ishaan-jaff
Ishaan Jaff ishaan-jaff
Co-Founder & CTO LiteLLM

@BerriAI

@opendatahub-io
Open Data Hub opendatahub-io
Organization for Open Data Hub community
@WarrenWen666
Warren Wen WarrenWen666
Venture investor who focusing mainly on Data&AI

Glory Ventures Shanghai

@samos123
Sam Stoelinga samos123
Creator of KubeAI, a K8s operator to serve LLMs in production.

San Francisco Bay Area

@thunlp
THUNLP thunlp
Natural Language Processing Lab at Tsinghua University

FIT Building, Tsinghua University, Beijing

@robertgshaw2-redhat
Robert Shaw robertgshaw2-redhat
vllm and llm-d

@redhat Boston

@mit-han-lab
MIT HAN Lab mit-han-lab
Efficient AI Computing. PI: Song Han

MIT

@FasterDecoding
FasterDecoding FasterDecoding
Think deeper, decode faster

United States of America

@SJTU-IPADS
SJTU-IPADS SJTU-IPADS
Institute of Parallel and Distributed Systems (IPADS)

Shanghai, China