Migrate from Hugging Face to Dedicated GPU: Savings Calculator
How much can you save by moving from Hugging Face (Inference Endpoints) to a dedicated GPU server?
Projected Savings
Hugging Face Inference Endpoints are the obvious choice for deploying HF models — until you compare the hourly GPU rates to a dedicated monthly server running the exact same models from the exact same model hub. At £250/month Hugging Face spend:
- £161/month (64% reduction)
- £1,932/year in total savings
Savings by Current Hugging Face Spend
| Current Hugging Face Spend | GigaGPU RTX 3090 Cost | Monthly Savings | Annual Savings |
|---|---|---|---|
| £100/mo | £89/mo | £11/mo | £132/yr |
| £250/mo | £89/mo | £161/mo | £1,932/yr |
| £500/mo | £89/mo | £411/mo | £4,932/yr |
| £1000/mo | £89/mo | £911/mo | £10,932/yr |
| £2500/mo | £89/mo | £2411/mo | £28,932/yr |
| £5000/mo | £89/mo | £4911/mo | £58,932/yr |
GigaGPU pricing is fixed monthly. No per-token, per-image, or per-request fees.
Same Model Hub, Lower Hosting Costs
Hugging Face Inference Endpoints charge hourly rates for dedicated instances. GigaGPU dedicated servers offer comparable hardware at lower monthly rates with no hourly billing complexity. The models are identical — you download them from the same Hugging Face Hub. The only difference is where they run and how you are billed for the compute.
Your Own HF Model Server
- Dedicated hardware: A full RTX 3090 server exclusively for your workloads. No sharing, no noisy neighbours.
- Full HF ecosystem access: Download and run any Hugging Face model — same transformers library, same model weights, lower hosting cost.
- Fixed pricing: £89/month regardless of how many tokens, images, or requests you process.
- Full control: SSH access, custom model deployment, fine-tuning capability, no vendor lock-in.
- Data sovereignty: Your data stays on your server. No third-party data processing or logging.
Moving Your Inference Endpoints
- Audit current usage: Review your Hugging Face Inference Endpoints dashboard — note instance types, model IDs, and average utilisation.
- Select your GPU server: Based on your throughput needs, choose from GigaGPU dedicated plans starting at £89/month.
- Deploy your model: GigaGPU servers come with CUDA, Docker, and inference frameworks pre-installed. Pull your HF model and deploy via TGI (Hugging Face’s own inference server) in under 15 minutes.
- Update API endpoints: Point your application to your new server. TGI provides the same API format as Inference Endpoints.
- Run parallel testing: Run both Hugging Face and your self-hosted model in parallel for 1-2 weeks to validate quality and performance.
- Cut over: Once validated, switch fully to your dedicated server and delete your Inference Endpoints.
TGI Compatibility
Hugging Face Inference Endpoints run TGI (Text Generation Inference) under the hood. GigaGPU servers support TGI natively — same server software, same API format, same model loading process. Migration is often as simple as replicating your TGI configuration on your dedicated server and updating the endpoint URL.
Run HF Models for Less
Stop paying hourly for Hugging Face Inference Endpoints. Get a dedicated RTX 3090 for £89/month and run the same models.
