Pipeshift AI recently launched!

Launch YC: Pipeshift AI - Fine-tuning and inference for open-source LLMs
"Replace GPT/Claude in production with specialized LLMs that are fine-tuned on your context, offering higher accuracy, lower latencies and model ownership."

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.

Founded by Arko C, Enrique Ferrao & Pranav Reddy

🧨 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


🎉 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.

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

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.

Image Credits: Pipeshift AI

Learn More

🌐 Visit pipeshift.ai to learn more.

🤝 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!

👣 Follow Pipeshift AI on
LinkedIn.

Posted 
October 11, 2024
 in 
Launch
 category
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