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Migrate from DeepInfra to Dedicated GPU: Savings Calculator

Calculate how much you can save by migrating from DeepInfra to a dedicated GPU server. Cost comparison, migration steps, and projected annual savings.

Migrate from DeepInfra to Dedicated GPU: Savings Calculator

How much can you save by moving from DeepInfra (Inference API) to a dedicated GPU server?

Projected Savings

DeepInfra positions itself as the budget-friendly inference API — and they deliver on that promise with some of the lowest per-token rates in the market. Yet even against the cheapest API provider, a dedicated GPU breaks even quickly for teams processing tokens every day. At £160/month DeepInfra spend:

  • £41/month (26% reduction) on the recommended RTX 5060 Ti tier (£119/mo)
  • £492/year in total savings

Savings by Current DeepInfra Spend

Current DeepInfra SpendGigaGPU TierGigaGPU CostMonthly SavingsAnnual Savings
£100/moRTX 3050 (entry)£79/mo£21/mo£252/yr
£100/moRTX 5060 Ti (recommended)£119/mo-£19/mo (below break-even)-£228/yr
£250/moRTX 3050 (entry)£79/mo£171/mo£2,052/yr
£250/moRTX 5060 Ti (recommended)£119/mo£131/mo£1,572/yr
£500/moRTX 3050 (entry)£79/mo£421/mo£5,052/yr
£500/moRTX 5060 Ti (recommended)£119/mo£381/mo£4,572/yr
£1,000/moRTX 3050 (entry)£79/mo£921/mo£11,052/yr
£1,000/moRTX 5060 Ti (recommended)£119/mo£881/mo£10,572/yr
£2,500/moRTX 3050 (entry)£79/mo£2,421/mo£29,052/yr
£2,500/moRTX 5060 Ti (recommended)£119/mo£2,381/mo£28,572/yr
£5,000/moRTX 3050 (entry)£79/mo£4,921/mo£59,052/yr
£5,000/moRTX 5060 Ti (recommended)£119/mo£4,881/mo£58,572/yr

GigaGPU pricing is fixed monthly. No per-token, per-image, or per-request fees.

Beating the Budget API Provider

DeepInfra offers some of the lowest per-token API rates in the market. That makes them hard to beat at low volumes. But the mathematics of fixed vs. variable pricing are universal: once your daily usage is consistent, a flat monthly fee always wins. Even against DeepInfra’s aggressive pricing, a dedicated GPU breaks even at surprisingly modest volumes and saves increasingly more as usage grows.

Even Cheaper Than Budget API Pricing

  • Dedicated hardware: A full GigaGPU server exclusively for your workloads — choose RTX 3050 (£79/mo entry) or RTX 5060 Ti (£119/mo recommended). No sharing, no noisy neighbours.
  • Recommended alternative: LLaMA 3 8B / DeepSeek 7B delivers comparable quality to Inference API for most production use cases.
  • Fixed pricing: From £79/month (RTX 3050) or £119/month (RTX 5060 Ti) 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.

Simple Transition

  1. Audit current usage: Export your DeepInfra usage data — calculate your average daily token volume to confirm the breakeven point.
  2. Select your GPU server: Based on your throughput needs, choose from GigaGPU dedicated plans starting at £79/month (RTX 3050) — most teams pick the £119/month RTX 5060 Ti.
  3. Deploy your model: GigaGPU servers come with CUDA, Docker, and inference frameworks pre-installed. Deploy LLaMA 3 8B / DeepSeek 7B in under 15 minutes.
  4. Update API endpoints: DeepInfra uses an OpenAI-compatible API. Change the base URL and key — your code stays the same.
  5. Run parallel testing: Run both DeepInfra and your self-hosted model in parallel for 1-2 weeks to validate quality and performance.
  6. Cut over: Once validated, switch fully to your dedicated server and cancel your DeepInfra subscription.

API Compatibility

DeepInfra supports OpenAI-compatible API endpoints. GigaGPU servers provide the same format via vLLM or TGI. Migration is a configuration change — swap the URL and authentication, keep everything else identical.

Beat Budget Pricing with Fixed Pricing

Undercut even DeepInfra. Get a dedicated GigaGPU server from £79/month (RTX 3050) or £119/month (RTX 5060 Ti, recommended) and eliminate per-token billing entirely.

View Dedicated GPU Plans   Calculate Exact Savings

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