Cerebrium

We're excited to announce that we're part of the?Y Combinator W22 batch! Sign up for early access here: https://www.cerebrium.ai/ Y Combinator is the most renowned startup accelerator in the world and has backed companies like?Airbnb,?Stripe,?Coinbase?and?Reddit, Inc.?and we’re honored to be joining this community of founders. We would like to thank our group partners, Tim Brady, Dalton Caldwell, Harj Taggar, and Tom Blomfield for helping us on this journey as well as Charl Jacobs and our customers that continue to believe in us and have shown us continued support. Please follow us as we work to enable businesses to be data and AI-driven without a single line of code or an entire data team. Additionally, if you want to be a part of something special, check out our careers page below (link in comments)

The way we write code is changing faster than ever - and with tools like?v0.dev, bolt.new, Lovable or Cursor, we get to be a part of that revolution. But, have you ever wondered how they all work under the hood? Have you ever wanted to build your own AI coding assistant? We've just published a tutorial to help you do just that. In the tutorial, we break down how to build a system that: - Plans frontend component architecture - Generates code in real-time based on your commands - Deploys your code to a secure sandboxed environment (On E2B) for testing You can use any LLM that fits your needs - We're using Qwen 2.5. The guide covers everything: model setup, prompt engineering, streaming responses, and deployment; It's all built on top of Cerebrium and E2B (Both have generous free tiers). Demo:?https://lnkd.in/dBzrXFc4 Tutorial:?https://lnkd.in/dfiEajFW Source Code:?https://lnkd.in/dQh5RUjZ #AICodeGeneration #DeveloperTools #ai

We’ve built a real-time AI commentator that delivers instant analysis and dynamic narration for live events. This demo, featuring a 1980s radio-style voice, provides basketball insights in just ~600ms, showcasing what’s possible in media and entertainment. Powered by Cerebrium for scalable AI inference, LiveKit for real-time video streaming, and Cartesia for expressive voice synthesis, this system pushes the boundaries of AI-driven broadcasting. While there’s room for improvement, this is a glimpse into the future of real-time AI commentary. ?? Demo here: https://lnkd.in/dcR4j8Kg Full tutorial here: https://lnkd.in/dWcXWRJD Source code here: https://lnkd.in/dvmFz-UZ

Our clients keep asking for lower latency and higher throughput when it comes to LLMs for various use cases. Using their optimized GPU kernerls from nCompass, vLLM can run 3x more efficiently! Glad to have collaborated with the team at to make this possible!

In June we shipped the (then) world's fastest voice AI agent — 500ms voice-to-voice latency including network transport. The (not-so-) secret sauce behind that demo was Pipecat + Cerebrium's serverless AI infrastructure + Daily's WebRTC infrastructure. The team at Cerebrium is live on Product Hunt today. They've built infrastructure that is super impressive: very fast cold-start times, access to a bunch of different GPUs, support for realtime AI, seamless scaling. I've learned a *lot* from working with Cerebrium over the past few months on customer-facing deployments and several fun demos. Go check out what Cerebrium is doing if you're interested in deploying your own AI models and services! https://lnkd.in/gntv8GsF

?????? I love merch ?? ?? Thanks for the hat ("Built different") Michael Louis, and above all big shoutout to the Cerebrium team, who just launched on Product Hunt! They’ve built a serverless AI infrastructure platform with ultra-low cold start times, support for real-time applications, and access to 12+ types of GPUs. It’s a game-changer for building and scaling AI applications effectively. If you believe in supporting an incredible team on a mission, please check out Cerebrium on Product Hunt and drop an upvote! Proud of what they’re doing, honored to have them as users of Lago as well!! Link to vote in the 1st comment!

There are two parts of Cerebrium's Product Hunt launch that feel like magic. 1. The real-time diffusion model image generation. Every word Michael Louis types into the prompt instantly creates a new image. 2. How easy it is to set up GPU inference. Maybe magic isn't the right word. It feels like cheating. Check out the link in the comments.

?? Cerebrium is Live on Product Hunt! ?? Today marks a big milestone for our team! Cerebrium, our serverless AI infrastructure platform, just went live on Product Hunt, and we’d be so grateful for your support and upvote. ?? From humble beginnings in South Africa to competing on a global stage and going up against giants with hundreds of engineers, we’ve had our share of long nights and big questions about whether we were crazy to take this on. But seeing the impact we make for our customers and how big the opportunity is in front of us — reminds us why we’re here. Cerebrium makes it easy to build, deploy, and scale AI applications with low cold start times, over 12 GPU types to choose from, support for large-scale batch jobs, real-time voice applications, and more. ?? Today, we’re proudly supporting companies and engineering teams across every continent, in many industries. If you’ve ever believed in underdogs or want to see us change the way business build and implement AI, we’d love an upvote, a comment, or a review! Upvote us here: https://lnkd.in/dA-qH8Ch Thank you to our early customers who’ve believed in us from the start — this launch is for you. ?? #startup #AI #machineLearning #productHunt

Cerebrium built a demo that lets you practice everything from handling angry customers to preparing for YC interviews – with AI voices that respond as fast as humans do. Key capabilities powered by Cartesia:? ? Sub-100ms voice generation (fastest in the market) ? End-to-end responses in under 500ms ? Ultra-realistic voices (ranked the most human-like over every alternative by Artificial Analysis) ? Dynamic emotion & speed control ? Natural conversation handling Built in collaboration with:? Cerebrium - Serverless AI infrastructure? Tavus - AI avatars? Mistral AI - Language model Huge kudos to the incredible Cerebrium team for pushing the boundaries of what's possible with AI voices! ?? Try the demo and read the full deep-dive - link in comments ??

In preparation for our Product Hunt launch on the 11th, we're giving away awesome Windbreakers to those who contribute to our examples Github repo! In order to submit an example: 1. Fork the repo 2. Add your example and let us know here or on our communities 3. Get your PR merged 4. Fill out the shipping form We are giving away bonus swag for blog posts or tutorial videos! Looking for some ideas? - RAG app that can chat with a PDF document? - Someone say Discord Bot? - TensorTRT example - Using Blender to render 3D graphics - Integrating Cerebrium with LlamaIndex or Tailscale - Realtime SDXL image generator using WebSockets Subscribe and be notified of PH Launch here: https://lnkd.in/dsXkRGfS Examples repo: https://lnkd.in/dX8qG99u