
Missed a lecture? This AI agent at Bar-Ilan University helps students catch up
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The post Missed a lecture? This AI agent at Bar-Ilan University helps students catch up appeared first on Source.
Flash now ships a first-class Nix flake. Run the CLI with nix run github:runpod/flash, get a pinned dev shell, and send GPU work to Runpod Serverless.
Google Colab meters compute and does not guarantee a GPU. Runpod gives you a specific GPU, for as long as you want it, billed by the second.
Optimize multi-node GPU cluster performance and cost-efficiency by aligning parallelism strategies, network fabric selection, and performance benchmarking.
You can teach an open-weight LLM to text like a specific persona: their slang, their reply length, their humor, even how they write in a roleplay scene, creative writing exercise, or chatbot customer interactions.
VACE introduces a powerful all-in-one framework for AI video generation and editing, combining text-to-video, reference-based creation, and precise.
We sponsored TreeHacks 2026 at Stanford, where teams built on Runpod across 36 hours, shipping projects ranging from GPU-accelerated cancer drug discovery.
Runpod now integrates directly with AI IDEs like Cursor and Claude Code using MCP. Launch Pods, deploy endpoints, and manage infrastructure, right from.
Curious about JAX-based diffusion models? This post walks through setting up and running them on Runpod using our GPU pods. It covers environment setup.
This post features a video tutorial by generativelabs.co that walks users through deploying a Stable Diffusion A1111 API using Runpod Serverless. It.
Learn how to quickly create, test, and deploy Runpod Serverless workers using GitHub templates, accelerating AI workloads with pay-per-use efficiency and.
Want a custom spin on Stable Diffusion? This post shows you how to create and launch your own Vlad Diffusion template inside Runpod.
San Francisco-based Deep Cogito used Runpod infrastructure to train Cogito v1, a high-performance open model family aiming at artificial.
Learn how to train, deploy, and scale AI/ML models using Runpod Serverless. This guide covers real-world examples, deployment best practices, and how.
Learn how to build and deploy a simple API using Runpod's Serverless platform. This guide covers writing a worker, exposing endpoints, and testing your.
How to switch from OpenAI's API to a self-hosted LLM built on open-source models on Runpod, for teams tired of usage limits and API costs.
Runpod's new Faster-Whisper endpoint delivers 2-4x faster transcription speeds than the original Whisper API, at a fraction of the cost.
Learn how to deploy Meta's Llama 3.1 8B Instruct model using the vLLM inference engine on Runpod Serverless for blazing-fast performance and scalable AI.
Learn how to use GuideLLM to simulate real-world inference loads, fine-tune performance, and optimize cost for vLLM deployments on Runpod.
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