Pipeshift AI Launches: Fine-tuning and Inference for Open-Source LLMs

Pipeshift AI recently launched!

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^{"Replace GPT/Claude in production with specialized LLMs that are fine-tuned on your context, offering higher accuracy, lower latencies and model ownership."}

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^{TL;DR: Pipeshift is the cloud platform for finetuning and inferencing open-source LLMs, helping teams get to production with their LLMs faster than ever. With Pipeshift, companies making >1000 calls/day on frontier LLMs can use their data and logs to replace GPT/Claude with specialized LLMs that offer higher accuracy, lower latencies, and model ownership. Connect with the founders.}‍_‍^‍‍

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‍Founded by Arko C, Enrique Ferrao & Pranav Reddy

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🧨 The Problem: Building with Open-source LLMs is hard!

The open-source AI stack is missing, forcing most teams to experiment by duct-taping things like TGI/vLLM but having nothing ready for production. As you scale, it requires expensive ML talent, long build cycles, and constant optimizations.

The gap between open-source and closed-source models is shrinking (Meta's Llama 3.1 405B is a testament to that)! And open-source LLMs offer multiple benefits over their closed-source counterparts:

🔏 Model ownership and IP control

🎯 Verticalization and customizability

🏎️ Improved inference speeds and latency

💰 Reduction of API costs at scale

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🎉 The Solution: Heroku/Vercel for Open-source LLMs

Pipeshift is the cloud platform for fine-tuning and inferencing open-source LLMs, helping developers get to production with their LLMs faster than ever.

🎯 Fine-tune Specialized LLMs

Run multiple LoRA-based fine-tuning jobs to build specialized LLMs.

⚡️ Serverless APIs of Base and Fine-tuned LLMs

Run inference for your fine-tuned LLMs and pay as per your token usage.

🏎️ Dedicated Instances for High Speed and Low Latency

Use Pipeshift AI's optimized inference stack to get max throughputs and utilization on GPUs.

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Product Demo: https://youtu.be/z8z5ILyXxCI

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Pipeshift AI's inference stack is one of the best globally, hitting 150+ tokens/sec on 70B parameter LLMs without any model quantization. And, since their private beta access was opened (<2 weeks back), they have already seen 25+ LLMs being fine-tuned with over 1.8B tokens in training data across 15+ companies.

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Learn More

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^{🌐 Visit pipeshift.ai to learn more.} _‍

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^{🤝 If you’re building an AI co-pilot/agent/SaaS product and are looking to move to open-source LLMs or know someone who’s looking to do the same, then book a call or email the founders - whichever you’d like!}

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👣 Follow Pipeshift AI on LinkedIn.}

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