Thanks to all who joined us yesterday 🤝 We discussed about vector databases, quick AI app development stacks and ML challenges If you’re in SF on August 29th, RSVP ↓ 🔗 https://lnkd.in/dymQcvSy
About us
Serverless GPU Inference to scale your machine learning inference without any hassle of managing servers, and deploy complicated and custom models with ease. Backed by Sequoia, Antler & Blume Ventures
- Website
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https://inferless.com/
External link for Inferless
- Industry
- Software Development
- Company size
- 2-10 employees
- Type
- Privately Held
- Founded
- 2023
Employees at Inferless
Updates
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Amazon Web Services (AWS) PrivateLink + Inferless = next-level security 🔒 Keep your data in your AWS network while accessing our AI inference services Now you have • Enhanced security • Reduced latency • Simplified networking • Compliance-friendly Curious? Check our docs for the how-to https://lnkd.in/dmsi4__J
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📣 SF devs: want to talk about AI in production challenges? Join our next breakfast on August 1st, ▶︎ For devs and founders ▶︎ Discuss real-world AI deployment ▶︎ Casual, no pitches Limited slots. RSVP: 🔗 https://lu.ma/xfo5xvxq
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Llama 3.1 is now available on Inferless. Deploy Meta's latest open-source LLM with enterprise-grade performance and scalability. • Cold start: 15.44 sec • 74.79 tokens/sec • Running on A100 (80GB) Start building today: 🔗 https://lnkd.in/dTMiVQt3
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Elevate your text generation with the latest Qwen-2 72B and deploy effortlessly on our Inferless serverless platform 🚀 ⚡ Experience superb efficiency: 🔹 17.83 tokens/sec average generation speed 🔹 24.79 sec latency for 512 tokens 🔹 35.59 seconds average cold start time 🌟 Ready to revolutionize your NLP projects? 🔗 Dive into the tutorial: https://lnkd.in/g6AgiaMu
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🌟 Transform your ideas into stunning visuals using the Stable Diffusion 3, and seamlessly deploy on our Inferless serverless platform! Unparalleled Performance: 🔹 Average inference time: 4.4 sec (28 steps) 🔹 Average cold start time: 9.9 seconds ✨ Ready to unlock the potential of Stable Diffusion? Follow our step-by-step guide to get started. 🔗 Explore the Tutorial: https://lnkd.in/g8xhsjjX
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Discover how SpoofSense scaled their AI inference with Inferless Dynamic Batching and Autoscaling. 🚀 🚧 Before discovering Inferless, they attempted to tackle the challenge by deploying on on-demand GPU clusters with Nvidia Trition Inference server themselves but couldn’t get a t to scale across multiple machines and meet their autoscaling demand. 💚 That is when Inferless helped them with enhanced model performance across varying loads using dynamic batching and our fast cold-starts. Read the blog here - https://lnkd.in/gmygWrCZ #InferenceWithInferless #ServerlessGPU
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🌟 Explore the power of SLM with the Phi-3 Model from Microsoft, effortlessly deployed on the Inferless serverless platform! 🌟 🚀 Achieve unmatched efficiency with Phi-3, boasting lightning-fast cold start time of 7.82 seconds on Inferless. ✨ Ready to unlock the full potential of Phi-3? Our step-by-step guide makes it easy to get started. 🔗 Explore the Tutorial: https://lnkd.in/g4s8MsqE
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Thank you Bessemer Venture Partners for featuring us in your latest AI Infrastructure report: https://lnkd.in/giZR9Ntg Check out their latest roadmap covering the new AI infrastructure stack for AI-native and embedded AI companies. #InferenceWithInferless
Roadmap: AI Infrastructure
bvp.com
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🌐 Unlock the power of HTTPS & WebSocket for Machine Learning! 🌟 Explore our latest blog to discover how these protocols enhance the security and efficiency of real-time applications. 👉🏻 Learn: ✅ How does these protocols help in Machine Learning ✅ Real-world use cases from autonomous vehicles to video analytics ✅ Advantages and practical applications 🔗 Link to blog: https://lnkd.in/gkXwRVzi
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