TitanML

Our Titan Takeoff Inference Stack now supports OpenAI's latest GPT-4o model. 🙌 This update empowers companies to harness its power quickly and easily. 💪 OpenAI's GPT-4o offers significant improvements over its predecessor: ⚡ Faster performance 📈 Increased request handling capacity 💰 50% more cost-effective 🌐 Enhanced understanding of images and non-English languages With Titan Takeoff, businesses can seamlessly integrate GPT-4o and other cutting-edge AI models into their secure systems. Our stack ensures lightning-fast and efficient model execution, even when processing vast amounts of data. ⚡📊 But that's not all! TitanML has optimized over 50 popular open-source AI models, making them more accessible and efficient for companies to deploy. 🤖💼 Now, with GPT-4o support in Titan Takeoff, businesses have an unparalleled range of options for leveraging the most advanced AI language models available. 🌟 Unlock the full potential of AI for your organization with TitanML and Titan Takeoff! 🔓🚀 Visit our website or contact us to learn more about how we can help you harness the power of GPT-4o and other state-of-the-art AI models.

If you missed our recent talk about building AI products for regulated industries, don't worry! Here are three important points to remember: 1️⃣ Llama 3 is currently the best open-source model available. For a great mix of excellent performance and small memory usage, try the enterprise-ready quantized version called TitanML/Meta-Llama-3-8B-AWQ-4bit on HuggingFace. 😊 2️⃣ If you want to use self-hosted models in an enterprise setting, TitanML is an excellent choice. Building everything from scratch just to get a basic "Hello World" program in an enterprise environment can be challenging. Companies can save time and effort by using TitanML. 3️⃣ Haystack (by deepset) and LangChain are fantastic tools for creating reliable AI applications. Don't believe the hype that says we don't need frameworks. I'm a big fan of Haystack (thanks to Tuana Çelik for converting me). 4️⃣ Extra: Don't forget to always test using Evidently AI . Thank you, 🟢 Amir Feizpour for inviting me and the aggregate intellect community members to participate! And Abi for connecting us. Let's continue to create AI products that are reliable, safe, compliant, and can be hosted locally!

In this guest blog post written by Meryem Arik, co-founder and CEO TitanML, discover all the ins and outs of Dataiku's partnership with TitanML's Titan Takeoff, which gives Dataiku users the ability to effortlessly build, scale, and deploy #AIModels within their secure environment. Read about the full integration of Titan Takeoff 🚀 into the Dataiku LLM Mesh here: | https://bit.ly/3wqKE0O | #GenAI

Two of our company's leaders were selected for the "Forbes 30 Under 30" list! Meryem Arik and Jamie Dborin were named among the 30 young people under the age of 30 doing innovative work. 💡 This is further testament that our way of deploying Gen AI in the enterprise is the future: - 💻 Self-hosted (the company runs it on their computers)  - 🔓 Open-source models (the code and weights are available to see and use)  - 🚀 Powered by Titan Takeoff (our Inference Stack for the enterprise) We are very proud of Meryem and Jamie for this achievement! 👏

TitanML and Dataiku Partner to Deliver Secure, Scalable Generative AI Solutions for Enterprises! 🌟 Our advanced self-hosted inference stack, Titan Takeoff, now integrates seamlessly with Dataiku's cutting-edge LLM Mesh. This partnership empowers organizations to deploy and scale private AI applications with ease while maintaining data privacy and security. Key benefits include: ✅ Enhanced security for your data ✅ Cost control through Dataiku's LLM Cost Guard ✅ Support for thousands of AI models ✅ Smooth transition from demo to large-scale solutions We've already seen success with enterprises leveraging our combined strengths to optimize semantic search, streamline document processing, and explore new possibilities with text generation. Ready to accelerate your organization's AI journey? Contact our team of experts today

We just compared LLaMa3 🦙 on Titan Takeoff vs GPT3.5-turbo 🤖, and the results were super interesting. LLaMa3 is faster plus you have more control! Do you want to test LLaMa3 🦙? Reach out! We will send you a free trial license for Titan Takeoff so you can also start working with LLaMa3 🦙. LLaMa3 🦙runs on a consumer-grade GPU like the NVIDIA 4090 💻. On the other hand, the hardware behind GPT3.5-turbo remains undisclosed 🤫. What's fascinating is that both models offer similar output quality ✅, despite the difference in hardware accessibility. However, LLaMa3 🦙 has a notable advantage in terms of speed ⚡ and user control 🎮. For businesses 💼 and developers 👨💻 looking to integrate AI language models into their products or services, LLaMa3 🦙is the most compelling choice.

We just had our talk at the AI Summit, where Meryem shared tips, tricks, and techniques for deploying LLMs. It was a fantastic experience, and we learned a lot from the questions and comments we received over the past few days. 💬 Key takeaways: - Many companies are still in the prototype stage and are just starting to look at getting into production. 🌱 - Serving LLMs is a top priority for those moving into the production stage. 🎯 - The level of education and expertise in serving LLMs is still relatively new and developing. 📚 It was a pleasure to educate the group on what we believe are the best practices for deploying LLMs. As more organizations begin to adopt this technology, it's crucial to share knowledge and insights to help everyone succeed. 🌍

We are having great talks at the AIAI Summit in San Jose, California. Regulated industries, like healthcare and banking, are very curious and excited about rolling out generative AI in their organizations. Come and join Meryem Arik and Rod Rivera. Let's discuss how we can help you begin using AI at your company right away.

Our workshop on building AI applications at the MLOps World Summit at Microsoft in NY had a fantastic attendance! Thank you everyone for joining and if you were not able to come, contact us, and let’s explore how you can build modern AI apps in your infrastructure with open technologies.

We are delighted to announce that TitanML is now integrated within Dataiku's LLM Mesh, giving Dataiku users the ability to seamlessly and salably deploy privately hosted AI models. ......... What does TitanML and Dataiku have in common? 🎧 Great Infrastructure: At our core, we're committed to providing great infrastructure, so our clients can focus on delivering value. 🔐 Secure and Scalable AI: We ensure your AI applications are not only secure but also scalable, meeting the demands of tomorrow, today. 🤹🏻♀️ Optionality: We shouldn't tie ourselves to just one AI provider - Interoperability and optionality of providers are key. 🇪🇺 Global Presence, European Roots ....... Thank you to everyone involved that made this happen! Amanda Milberg, Jed Dougherty, Stephen Wagner, Kurt Muehmel, Clément Stenac, Florian Douetteau, Joshua Cowan, Fergus Finn, PhD, Rod Rivera, Jamie Dborin (PhD), Yicheng Wang! Check out the blog -