TensorOpera AI retweeted
The future of #OnDeviceAI is here. At #CES2025, #SamsungSemiconductor and TensorOpera AI unveiled a new cross-company partnership to distribute a new generation of multi-modal #GenAI applications on devices powered by #Exynos processors. Learn more. smsng.co/TensorOpera_PR
TensorOpera AI retweeted
Salman Avestimehr ( @avestime ), co-Founder and CEO of @FEDML_AI explains the complexities of building and deploying GenAI models.
He breaks down everything from the lifecycle of an AI model, especially discussing two challenges that AI developers and enterprises are facing today in their GenAI pipeline: ownership and scalability.
Come listen to Salman explain the advantages of using FedML’s multi-cloud GenAI platform and how it manages model serving for scalability, cost and observability. go.mlops.community/n73cos
TensorOpera AI retweeted
FEDML Empowers On-Premise AI Innovation at DENSO venturebeat.com/business/fed… via @VentureBeat
TensorOpera AI retweeted
🚀🚀 FEDML GenAI App is now launched in Discord!
@FEDML_AI community members can now create stunning images right within our Discord channel (discord.com/invite/9xkW8ae6R…) using GenAI models in FEDML Nexus AI model hub, and served in FEDML cloud.
This app showcases a glimpse into the capabilities of FEDML Nexus AI platform (fedml.ai/home) for scalable GenAI model/app serving.
Join our thriving Discord community here (discord.com/invite/9xkW8ae6R…) to play around with this awesome app. Plus, get ready for even more exciting modalities (video, 3D, etc) to be added soon! 🔥🔥
TensorOpera AI retweeted
🔥🔥 @GroqInc LPU x @FEDML_AI Nexus AI: Fast and Scalable AI Agents!
We are excited to share our collaboration with @GroqInc , the innovator behind the LPU™ (Language Process Unit) Inference Engine, to bring their cutting-edge technology for high-speed inference of LLMs into our scalable platform for generative AI. This extends the versatility of Groq LPU and sets a new standard for creating powerful AI agents requiring fast real-time performance.
Developers can now leverage the FEDML-Groq API to seamlessly integrate Groq LPU into their AI agents. This integration, supported by FEDML's distributed vector database framework and remote function calling capabilities, empowers developers to build fast and scalable AI solutions.
In addition to this seamless integration, FEDML Nexus AI offers a suite of advanced features to further empower developers:
☁️☁️☁️ Cross-cloud/decentralized model service platform: Ensures flexibility and scalability for your AI deployments.
👀📊🔍 Detailed endpoint observability tools: Gain valuable insights into the performance of your AI agents, allowing for continuous optimization.
🔧🚀📈 Customize, Deploy, and Scale any model: Fine-tune your models, create dedicate endpoints, and scalably serve your endpoint.
Through this integration, we hope to bridge the gap between LPU hardware and AI application developers — empowering developers to easily leverage the world's fastest inference service to fuel application innovation.
Read our latest blogpost (blog.fedml.ai/) to gain much more insights on:
💡 Why Integrate Groq’s High-speed APIs into FEDML Nexus AI?
💡 How to use FEDML-Groq API?
💡 How to monitor Groq’s API Performance?
💡 How Does the FEDML-Groq Integration Work?
💡 Further Advances: Customize, Deploy, and Scale
Start building here: fedml.ai/
#FEDML #Groq #LLM #FastInference #AIAgents
TensorOpera AI retweeted
I'm excited to share that our InstantID has been deployed on @FEDML_AI which provides the generative AI platform and foundation models to enable developers and enterprises to build and commercialize generative AI applications. Find more info at fedml.ai/home.








