#Vast.ai
10 related articles
·3 分钟
Training a 1.3B Parameter LLM from Scratch: Complete Workflow and Core Challenges
A deep dive into the complete workflow of training a 1.3B parameter LLM from scratch, covering Transformer architecture design, data preparation, and distributed training optimization.
阅读全文 →
·4 分钟
Cross-Cloud GPU Preemption Migration: How to Slash 40% of Compute Costs
Deep analysis of how cross-cloud GPU preemption migration technology helps MLOps teams cut 40% of compute costs through predictive telemetry, cross-cloud state migration, and compute arbitrage.
阅读全文 →
·3 分钟
Cloud GPU Platform Selection: A Practical Guide from HuggingFace to Cloud Reproduction
In-depth analysis of five key dimensions for cloud GPU platform selection, covering RunPod, Lambda, Paperspace, Vast.ai, and more to solve environment setup challenges for open-source model reproduction.
阅读全文 →
·2 分钟
Training AI to Play Devil May Cry 3 with Reinforcement Learning: Challenges and Practices in Action Game AI
An indie developer trains AI to autonomously play Devil May Cry 3 using reinforcement learning. Explore the core challenges of action game AI including sparse rewards, high-dimensional action spaces, and real-time decision-making.
阅读全文 →
·2 分钟
Training AI to Play Devil May Cry 3 with Reinforcement Learning: Challenges and Practices for Action Game AI
An indie developer trains AI to autonomously play Devil May Cry 3 using reinforcement learning. This article analyzes the core challenges including sparse rewards, high-dimensional action spaces, and real-time decision-making.
阅读全文 →
·7 分钟
The Complete AI Character LoRA Training Workflow: Hands-On Multi-Character Consistency Generation with Local Deployment
A detailed guide to a complete local AI character generation workflow: from the five golden rules of LoRA training and automated ComfyUI dataset construction to hands-on comparisons of Crea2, Ideogram4, and Wan for multi-character same-frame interaction—all running free on personal hardware.
阅读全文 →
·2 分钟
Farewell Perplexity: Why a Free User Left and What It Reveals About AI Search Monetization
A Reddit user's Perplexity farewell exposes AI search's core tension: free trials hook users, then reasoning model quotas drive them away. Here's what it means for the industry.
阅读全文 →
·3 分钟
GPU Rental vs. Buying: How Low-Usage Teams Should Actually Do the Math
Should low-usage teams rent or buy GPUs? Based on real billing data, we break down hardware costs, electricity, and hidden time losses to help small teams decide.
阅读全文 →
·2 分钟
Getting Started with LLMs: A Complete Roadmap from Zero to Practice
How to learn LLMs from scratch? This guide covers personalized learning paths for 3 types of learners, hardware tips (16GB RAM is enough), Python prep, and cloud GPU options.
阅读全文 →
产品体验·3 分钟
Pixal3D Hands-On Comparison with Tripl3/Trellis/Hunyuan: Full Analysis of Pixel-Perfect Alignment Pros and Cons
In-depth hands-on test of Tencent's open-source Pixal3D 3D generation model, analyzing pixel-level alignment technology with multi-model comparisons against Trellis 2, Hunyuan, and Tripl3.
阅读全文 →