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Migrate from Perplexity to Dedicated GPU: Savings Calculator

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

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 SpendGigaGPU RTX 3090 CostMonthly SavingsAnnual 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

  1. Audit current usage: Export your Perplexity usage data — understand query volumes and whether responses need web search or can use internal documents.
  2. Select your GPU server: Based on your throughput needs, choose from GigaGPU dedicated plans starting at £89/month.
  3. 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.
  4. Index your knowledge base: Embed and index your document corpus. For web search integration, add a search API as a retrieval source.
  5. Run parallel testing: Compare Perplexity responses against your self-hosted pipeline for 1-2 weeks, focusing on answer quality and citation accuracy.
  6. 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.

View Dedicated GPU Plans   Calculate Exact Savings

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