Fine-Tuning Gemma 2 Models on RunPod for Personalized Enterprise AI Solutions
Fine-tune Google’s Gemma 2 LLM on Runpod’s high-performance GPUs—customize multilingual and code generation models with Dockerized workflows, A100/H100 acceleration, and serverless deployment, all with per-second pricing.
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Building and Scaling RAG Applications with Haystack on RunPod for Enterprise Search
Build scalable Retrieval-Augmented Generation (RAG) pipelines with Haystack 2.0 on Runpod—leverage GPU-accelerated inference, hybrid search, and serverless deployment to power high-accuracy AI search and Q&A applications.
Guides
Deploying Open-Sora for AI Video Generation on RunPod Using Docker Containers
Deploy Open-Sora for AI-powered video generation on Runpod’s high-performance GPUs—create text-to-video clips in minutes using Dockerized workflows, scalable cloud pods, and serverless endpoints with pay-per-second pricing.
Guides
Fine-Tuning Llama 3.1 on RunPod: A Step-by-Step Guide for Efficient Model Customization
Fine-tune Meta’s Llama 3.1 using LoRA on Runpod’s high-performance GPUs—train custom LLMs cost-effectively with A100 or H100 instances, Docker containers, and per-second billing for scalable, infrastructure-free AI development.
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Quantum-Inspired AI Algorithms: Accelerating Machine Learning with RunPod's GPU Infrastructure
Accelerate quantum-inspired machine learning with Runpod—simulate quantum algorithms on powerful GPUs like H100 and A100, reduce costs with per-second billing, and deploy scalable, cutting-edge AI workflows without quantum hardware.
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Maximizing Efficiency: Fine‑Tuning Large Language Models with LoRA and QLoRA on Runpod
Fine-tune large language models affordably using LoRA and QLoRA on Runpod—cut VRAM requirements by up to 4×, reduce costs with per-second billing, and deploy custom LLMs in minutes using scalable GPU infrastructure.
Guides
How do I build a scalable, low‑latency speech recognition pipeline on Runpod using Whisper and GPUs?
Deploy real-time speech recognition with Whisper and faster-whisper on Runpod’s GPU cloud—optimize latency, cut costs, and transcribe multilingual audio at scale using serverless or containerized ASR pipelines.
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