Fine-Tuning Platform
Upload an Axolotl config and your dataset. We handle GPU provisioning, distributed training, and model delivery — with real-time visibility and transparent costs.
Sound familiar?
Provisioning instances, installing CUDA, configuring distributed training — all before you've written a line of fine-tuning code.
Runaway training jobs rack up cloud charges before you notice. There's no native way to estimate cost upfront.
Most teams spend more time on infrastructure than on the models themselves. That's the wrong problem to be solving.
The Process
From config upload to trained model in four steps — no cloud account, no DevOps, no surprises.
Drag and drop your Axolotl YAML and optional dataset. We validate the config and show you a cost estimate before you commit.
The right instance is auto-selected for your job and running within minutes. No AWS account, no CUDA setup, no DevOps.
Streaming logs, loss and learning rate charts, GPU utilization, tokens per second — all in one real-time dashboard.
When training completes you get a secure download link. The instance terminates automatically; you pay only for what you used.
The honest comparison
Most teams that go the DIY route underestimate what it actually costs. Not just money — time, expertise, and ongoing maintenance.
| Metric | Heulistic | DIY |
|---|---|---|
| Setup Time | ✓Minutes | Days to weeks |
| Skills Required | ✓Data prep and basic YAML | CUDA, PyTorch, MLOps expertise |
| Billing Model | ✓Pay only for active compute | Idle cost risk |
| Config Layer | ✓Visual builder + Axolotl YAML | Custom Python training scripts |
| Checkpointing | ✓Automatic, S3-backed | Build it yourself |
| Resume on Failure | ✓Automatic | Build it yourself |
| Infrastructure | ✓Zero | EC2, Docker, networking, storage |
A senior MLOps engineer costs $150,000–$200,000 per year. That's before they write a single line of training code.
| Cost Category | Heulistic | DIY |
|---|---|---|
| Upfront Capital | ✓$0 | $5,000–$30,000+ in hardware or cloud commitments |
| Training Compute | ✓Pay per second, stops when training stops | Idle billing risk while debugging or sleeping |
| Engineering Labor | ✓Minimal, standard developer skills | High — senior MLOps and DevOps hours on plumbing |
Config Builder
Use the interactive config builder to generate a valid Axolotl YAML from a form — no YAML knowledge required. Pick your base model, method, and hyperparameters, then download or paste the result.
Try the config builder →Pricing
Billed per minute with no seat fees and no minimum spend. You see the exact estimated cost before you submit a job.
LoRA / QLoRA
g5.xlarge · 24 GB GPU
Best for 7B models
Full Fine-Tune
g5.2xlarge · 24 GB GPU
Best for 13B+ models
Exact cost is calculated from your config and shown before any job is submitted. No surprises.
Data handling
Datasets are encrypted in transit (TLS) and at rest (AES-256) in isolated S3 buckets. Your data never touches a shared filesystem.
Each job runs in a dedicated GPU instance provisioned only for that run. The instance self-terminates on completion — no shared compute.
Datasets and output models are automatically removed from S3 after 7 days. Download your model when training finishes and we handle the rest.
Your data is used solely to run your job. We never use customer datasets to train or improve any other model.
Scope
Built for a specific job. Here's exactly what fits, and what doesn't.
Supported
Not supported
Ready to start?
Create an account, upload your Axolotl config, and your model will be training in under five minutes.
Consulting
When self-service isn't enough, our team works directly with you to build, migrate, and maintain production ML systems on any cloud.
Design and build scalable ML infrastructure — cloud architecture, container orchestration, and infrastructure as code.
Automate your ML workflow from data ingestion to model deployment with robust testing and validation.
Comprehensive observability for production models — performance tracking, drift detection, and custom alerting.
Optimize models for speed and efficiency so they can handle production load without latency spikes.
Get in touch
Questions about the platform, or interested in consulting? Drop us a message and we'll get back to you within 24 hours.
Email: business@heulistic.com