Hugging Face and SambaNova Create One-Click Chatbot Integration for Developers
On 7 November 2024, Hugging Face’s ML Growth Lead, Ahsen Khaliq, took to LinkedIn to announce a new integration that lets developers integrate chatbots like ChatGPT with a single click. The integration is suitable for text-only and multimodal chatbots that handle both text and images. Developers can use models such as Llama 3.2-11B-Vision-Instruct on SambaNova’s cloud platform. Performance data indicates processing speeds reaching 358 tokens per second on standard hardware. As previously reported by AIM, SambaNova Systems also recently launched a new demo on Hugging Face. It offered a high-speed, open-source alternative to OpenAI’s o1 model. The demo directly used Meta’s Llama 3.1 Instruct model, which competes directly with OpenAI’s latest release. The timing of this integration meets a growing need for fast, scalable AI solutions in enterprises. While consumer AI chatbots from OpenAI and Anthropic make headlines, SambaNova’s approach is focused on directly supporting developers with advanced, enterprise-ready tools. In August this year, Microsoft also announced something similar with the launch of  ‘GitHub Models’ which will offer developers access to leading LLMs, including Llama 3.1, GPT-4o, GPT-4o Mini, Phi 3, and Mistral Large 2. Github Models seemed to be inspired by Hugging Face’s provision of the ability to test out different models. Performance Metrics Deploying traditional chatbots can be complex since it often requires an understanding of APIs, technical documentation, and deployment protocols. This new system claims to simplify the process to a single “Deploy to Hugging Face” button. The integration has shown promising performance metrics, especially for the Llama3 405B model, which achieved an average power usage of 8,411 KW on unconstrained hardware, underscoring its potential for large-scale applications. During an exclusive interview with AIM recently, SambaNova’s chief architect, Sumti Jairath, and architect and founding engineer Raghu Prabhakar revealed that among the three—Groq, Cerebras, and SambaNova—SambaNova is the only platform offering Llama 3.1 405B.For technical leaders, this streamlined workflow could mean reduced costs and faster rollout of AI-driven features, especially for conversational interfaces. But faster deployment brings new responsibilities: companies must consider how AI will be used, what problems it will solve, and how user privacy and ethical practices will be ensured.
Developers can now use models such as Llama 3.2-11B-Vision-Instruct on SambaNova’s cloud platform.
Developers can now use models such as Llama 3.2-11B-Vision-Instruct on SambaNova’s cloud platform.
["Hugging Face", "SambaNova Systems"]
["Anthropic", "Hugging Face", "ChatGPT", "OpenAI", "AI", "GPT-4o", "ML", "SambaNova Systems", "RAG", "Aim", "Mistral Large 2"]
["AI", "ML", "GPT-4o", "ChatGPT", "OpenAI", "Anthropic", "Mistral Large 2", "Aim", "Hugging Face", "RAG"]
An information designer who loves to learn about and try new developments in the field of tech and AI. She likes to spend her spare time reading and exploring absurdism in literature.