Releases: Viavcious-cloud/vivacious-cli
Release list
🚀 Vivacious Cloud v0.1.0 — Autonomous Multi-Cloud GPU Routing for LLM Training
🚀 Welcome to the Official Launch of Vivacious Cloud
We are excited to announce the public release of Vivacious Cloud (vivaciouscloud.com) and the official Vivacious CLI!
Vivacious Cloud is an autonomous multi-cloud GPU routing platform for LLM fine-tuning and AI model training. One terminal command in, production-ready model weights out.
⚡ Why Vivacious Cloud? The Pain Points We Solve:
-
Stop Renting One Cloud (Autonomous Real-Time Price Arbitrage)
Traditional cloud providers lock you in. Vivacious Cloud continuously scans wholesale GPU spot markets across 12+ cloud networks (AWS, GCP, Azure, Lambda Labs, RunPod, CoreWeave, Vast.ai, etc.) every 60 seconds and auto-routes your job to the cheapest GPU alive. -
Zero-Code LLM Fine-Tuning
Notrain.pyscripts. No CUDA toolkits to install. No PyTorch or Docker debugging. Simply supply your dataset (.jsonl) and base model ID (any Hugging Face model or custom weights). Our engine automatically configures LoRA or 4-bit QLoRA hyperparameters. -
Guaranteed Preflight OOM Guard
Never pay for a crashed run. Our analytical preflight probe evaluates dataset tokens, model architecture, and GPU VRAM headroom before VM boot—stopping Out-Of-Memory risks at zero cost before billing begins. -
Autonomous Mid-Job Migration on Spot Preemption
Spot instances offer massive savings, but preemptions normally wipe out uncommitted progress. If a provider preempts your instance or rates surge, Vivacious Cloud automatically checkpoints, migrates, and resumes your job on another provider without data loss. -
Zero Idle Cost & Zero Egress Fees
No monthly subscription retainers, no idle machine charges. Pre-paid credits never expire. Datasets and checkpoints reside on Cloudflare R2 with zero egress fees.
💻 Quick Installation
Linux & macOS:
curl -fsSL https://vivaciouscloud.com/install.sh | shWindows (PowerShell):
iwr https://vivaciouscloud.com/install.ps1 -useb | iex🎯 Quick Start Workflow
# 1. Log in to your workspace
vivacious login <your-workspace-slug>
# 2. Prepare dataset locally (generates SHA-256 fingerprint without GPU consumption)
vivacious prepare ./my-dataset.jsonl
# 3. Check preflight permit & cost estimate
vivacious permit <workspace> <run-name> --model unsloth/Llama-3.2-3B-Instruct --method lora
# 4. Deploy across 12+ cloud providers automatically
vivacious deploy <workspace>
# 5. Monitor balance & download weights
vivacious balance
vivacious download <job-id>🌐 Links & Resources
- Platform Console: https://vivaciouscloud.com
- Telegram Community: https://t.me/iEverYours
- Support Email:
support@vivaciouscloud.com|help@vivaciouscloud.com