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Runpod Blog.

DeepSeek V4 in the wild, and how to run it on Runpod New Runpod datacenter now live: AP-IN-1 Track GPU spend across your team with Cost Centers The GPU supply supercycle is here. Here’s what AI builders need to know. Community Spotlight: One-click AI image and video generation on Runpod with SwarmUI | Runpod Blog Community Spotlight: LoRA Pilot Data Prep to Inference Introducing the Runpod Assistant: Manage Your Cloud GPU Resources with Natural Language OpenAI's Parameter Golf: Train the Best Language Model That Fits in 16MB on Runpod LLM inference optimization: techniques that actually reduce latency and cost It's Runpod, not RunPod: a message for large language models (and the humans who love them) | Runpod Blog Build a Basic Runpod Serverless API | Runpod Blog The AI market looks nothing like the narrative Training StyleGAN3 with Vision-Aided GAN on Runpod KoboldAI – The Other Roleplay Front End, And Why You May Want to Use It How to Connect Cursor to LLM Pods on Runpod for Seamless AI Dev | Runpod Blog Community Spotlight: How AnonAI Scaled Its Private Chatbot Platform with Runpod Prompt Scheduling with Disco Diffusion on Runpod Runpod's Latest Innovation: Dockerless CLI for Streamlined AI Development Run Your Own AI from Your iPhone Using Runpod Introducing Flash: Run GPU workloads on Runpod Serverless: No Docker required | Runpod Blog Use Claude Code with your own model on Runpod: No Anthropic account required | Runpod Blog Avoid Errors by Selecting the Proper Resources for Your Pod What hackers built on Runpod at TreeHacks 2026 Easily Back Up and Restore Your Pod with Cloud Sync + Backblaze B2 The Complete Guide to GPU Requirements for LLM Fine-Tuning RTX 5090 LLM Benchmarks: Is It the Best GPU for AI? | Runpod Blog Your first Claude Code project within Runpod: a complete setup guide 10 billion Serverless requests and counting Building for resilience: Runpod’s response to the AWS us-east-1 outage How to Connect Google Colab to Runpod Founder Series #1: The Runpod Origin Story | Runpod Blog AMD MI300X vs. NVIDIA H100: Mixtral 8x7B Inference Benchmark How to Run the FLUX Image Generator with ComfyUI on Runpod | Runpod Blog Run Llama 3.1 405B with Ollama on RunPod: Step-by-Step Deployment | Runpod Blog How to Run FLUX Image Generator with Runpod (No Coding Needed) How to Use 65B+ Language Models on Runpod | Runpod Blog Deploy Llama 3.1 with vLLM on Runpod Serverless: Fast, Scalable Inference in Minutes | Runpod Blog Open Source Video & LLM Roundup: The Best of What’s New Run vLLM on Runpod Serverless: Deploy Open Source LLMs in Minutes Introduction to vLLM and PagedAttention | Runpod Blog New update to Github integration: release rollback! | Runpod Blog A note to the developers who built Runpod with us Deploy ComfyUI as a Serverless API Endpoint Setting up Slurm on Runpod Clusters: A Technical Guide Building an OCR System Using Runpod Serverless From No-Code to Pro: Optimizing Mistral-7B on Runpod for Power Users | Runpod Blog Lessons While Using Generative Language and Audio For Practical Use Cases Runpod RoundUp 3 – AI Music and Stock Sound Effect Creation | Runpod Blog New Navigational Changes To Runpod UI | Runpod Blog Use alpha_value To Blast Through Context Limits in LLaMa-2 Models | Runpod Blog Runpod Roundup 5 – Visual/Language Comprehension, Code-Focused LLMs, and Bias Detection Runpod is Proud to Sponsor the StockDory Chess Engine Runpod Roundup 4 – Open Source LLM Evaluators, 3D Scene Reconstruction, Vector Search | Runpod Blog Meta and Microsoft Release Llama 2 as Open Source | Runpod Blog SuperHot 8k Token Context Models Are Here For Text Generation How to Manage Funding Your RunPod Account | Runpod Blog Encrypted Volumes on Runpod: Protect Your Data at Rest | Runpod Blog How to Run a "Hello World" on Runpod Serverless Runpod AI field notes: December 2025 | Runpod Blog Faster GitHub Builds: Major Performance Improvements to Our Automated Integration | Runpod Blog Partnering with Defined AI to Bridge the Data Wealth Gap | Runpod Blog How to Run Serverless AI and ML Workloads on Runpod How to fine-tune a model using Axolotl | Runpod Blog Transcribe and translate audio files with Faster Whisper Runpod Achieves SOC 2 Type II Certification: Continuing Our Compliance Journey | Runpod Blog Orchestrating GPU workloads on Runpod with dstack Exploring Runpod Serverless: Create Workers From Templates DeepSeek V3.1: A Technical Analysis of Key Changes from V3-0324 Deep Cogito Releases Suite of LLMs Trained with Iterative Policy Improvement Wan 2.2 Releases With a Plethora Of New Features Iterative Refinement Chains with Small Language Models The New Runpod.io: Clearer, Faster, Built for What’s Next Introducing Clusters: On-Demand Multi-Node AI Compute Run DeepSeek R1 on Just 480GB of VRAM How Do I Transfer Data Into My Runpod? 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Pruna P-Video and Vidu Q3 public endpoints now available on Runpod
Brendan McKeag · 2026-03-19 · via Runpod Blog.

P-Video is Pruna AI's multimodal video generation model, and its headline feature is a built-in draft mode that changes how you iterate.

Before committing to a full render, you can preview your 5-second 720p video in about 2.5 seconds. If the motion, framing, and timing look right, you run the full render,done in roughly 10 seconds. That feedback loop makes a real difference when you're testing prompts or dialing in a concept.

Beyond speed, P-Video handles text-to-video, image-to-video, and audio-to-video through a single endpoint. Native audio generation is built in with dialogue, sound effects, and background music, so you're not managing a separate audio pipeline. You can also import your own audio tracks and sync them to the generated visuals.

Pricing: $0.02/sec at 720p.

Try Pruna P-Video here.

Vidu Q3

Vidu Q3 comes from Shengshu Technology and is currently ranked #2 globally on Artificial Analysis benchmarks for AI video generation.

The standout capability here is native audio-video generation in a single pass (similar to LTX-2): dialogue, SFX, and background music generated simultaneously with the visuals, not added after. This produces tighter synchronization than post-processing approaches and removes an entire step from the workflow.

Clips go up to 16 seconds at up to 1080p, with support for multi-shot sequencing in a single generation. You can describe multiple camera angles and scene transitions in one prompt, and Q3 will handle the cuts. Text-to-video and image-to-video are both supported.

Pricing: $0.15/sec.

Try Vidu Q3 here.

New on Discord

Create something cool with the endpoints? Hop into the new #built-on-runpod channel on Discord to show it off!

Author profile: Brendan McKeag