Migrate from AWS Bedrock to Dedicated GPU: Savings Calculator
How much can you save by moving from AWS Bedrock (Managed LLM API) to a dedicated GPU server?
Projected Savings
£600/month on AWS Bedrock buys you rate limits, cold starts, and no data control. The same budget on dedicated hardware buys an always-on GPU server with £491 left over. Here is the breakdown:
- £491/month (82% reduction)
- £5,892/year in total savings
Savings by Current AWS Bedrock Spend
| Current AWS Bedrock Spend | GigaGPU RTX 5080 Cost | Monthly Savings | Annual Savings |
|---|---|---|---|
| £100/mo | £109/mo | API cheaper at this spend | — |
| £250/mo | £109/mo | £141/mo | £1,692/yr |
| £500/mo | £109/mo | £391/mo | £4,692/yr |
| £1000/mo | £109/mo | £891/mo | £10,692/yr |
| £2500/mo | £109/mo | £2391/mo | £28,692/yr |
| £5000/mo | £109/mo | £4891/mo | £58,692/yr |
GigaGPU pricing is fixed monthly. No per-token, per-image, or per-request fees.
The AWS Markup on Models You Can Run Yourself
AWS Bedrock adds AWS margin on top of base model pricing. You are paying Amazon’s infrastructure premium to access models like LLaMA and Mistral that are freely available. Self-hosting the same open-source models eliminates the cloud provider markup entirely. Plus, you escape the broader AWS billing complexity — no cross-service charges, no data transfer fees, no reserved capacity commitments.
Dedicated Hardware Without AWS Overhead
- Dedicated hardware: A full RTX 5080 server exclusively for your workloads. No sharing, no noisy neighbours.
- Recommended alternative: LLaMA 3 8B or Mistral 7B delivers comparable quality to Managed LLM API for most production use cases.
- Fixed pricing: £109/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.
Escaping the AWS Ecosystem
- Audit current usage: Export your AWS Bedrock usage from Cost Explorer — separate model inference costs from other AWS charges.
- Select your GPU server: Based on your throughput needs, choose from GigaGPU dedicated plans starting at £109/month.
- Deploy your model: GigaGPU servers come with CUDA, Docker, and inference frameworks pre-installed. Deploy LLaMA 3 8B or Mistral 7B in under 15 minutes.
- Update API endpoints: Replace Bedrock API calls with OpenAI-compatible endpoints. vLLM and TGI provide drop-in compatibility.
- Run parallel testing: Run both AWS Bedrock 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 decommission your Bedrock configuration.
Bedrock API Transition
AWS Bedrock uses a proprietary SDK format that differs from standard OpenAI endpoints. Migration requires swapping the Bedrock SDK for a standard OpenAI-compatible client. GigaGPU servers support this format natively via vLLM or TGI, so the change is straightforward — replace the boto3 Bedrock client with an OpenAI client pointing to your server.
Break Free from AWS Markup
Stop paying AWS margin on open-source models. Get a dedicated RTX 5080 server for £109/month and keep 100% of your savings.
