Migrate from Perplexity to Dedicated GPU: Savings Calculator
How much can you save by moving from Perplexity (pplx-api) to a dedicated GPU server?
Projected Savings
Perplexity combines search and LLM generation in a single API call — convenient, but you are paying per-query for capabilities that a self-hosted RAG pipeline can replicate at fixed cost. At £250/month Perplexity spend:
- £161/month (64% reduction)
- £1,932/year in total savings
Savings by Current Perplexity Spend
| Current Perplexity 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.
Building Your Own Search-Augmented LLM
Perplexity API combines search and LLM capabilities at per-query pricing. The appeal is simplicity — one API call returns a grounded, cited answer. Self-hosting a RAG pipeline with open-source models and a vector database replicates this at fixed cost. You trade Perplexity’s web search integration for your own knowledge base — often a better fit for enterprise use cases where you need answers grounded in internal documents rather than the open web.
Self-Hosted Search + Generation
- Dedicated hardware: A full RTX 3090 server exclusively for your workloads. No sharing, no noisy neighbours.
- Recommended alternative: LLaMA 3 8B + RAG pipeline delivers comparable quality to pplx-api for most production use cases — grounded in your own data instead of web search.
- 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 queries, documents, and generated responses stay on your server.
Replacing Perplexity with Your Own Pipeline
- Audit current usage: Export your Perplexity usage data — understand query volumes and whether responses need web search or can use internal documents.
- Select your GPU server: Based on your throughput needs, choose from GigaGPU dedicated plans starting at £89/month.
- Build your RAG stack: Deploy an LLM (LLaMA 3 8B), embedding model (BGE), and vector database (Qdrant or Milvus) on your GigaGPU server. All components run on one machine.
- Index your knowledge base: Embed and index your document corpus. For web search integration, add a search API as a retrieval source.
- Run parallel testing: Compare Perplexity responses against your self-hosted pipeline for 1-2 weeks, focusing on answer quality and citation accuracy.
- Cut over: Once validated, switch fully to your dedicated server and cancel your Perplexity subscription.
Architecture Differences
Perplexity’s API is not a simple LLM endpoint — it includes web search retrieval. Migrating requires building a retrieval pipeline (embeddings + vector search + LLM generation). GigaGPU servers have the compute to run all three components simultaneously. If you only need answers grounded in your own documents rather than web search, the self-hosted approach is actually simpler than Perplexity.
Own Your Search-Augmented AI
Stop paying per-query for search-grounded answers. Build your own RAG pipeline on a dedicated RTX 3090 for £89/month.