Migrate from Groq to Dedicated GPU: Savings Calculator
How much can you save by moving from Groq (LPU Inference) to a dedicated GPU server?
Projected Savings
Groq’s LPU chips deliver blazing-fast inference — hundreds of tokens per second with minimal latency. But speed has a price, and most production workloads prioritise cost-per-token over tokens-per-second. At £150/month Groq spend:
- £31/month (21% reduction) on the recommended RTX 5060 Ti tier (£119/mo)
- £372/year in total savings
Savings by Current Groq Spend
| Current Groq Spend | GigaGPU Tier | GigaGPU Cost | Monthly Savings | Annual Savings |
|---|---|---|---|---|
| £100/mo | RTX 3050 (entry) | £79/mo | £21/mo | £252/yr |
| £100/mo | RTX 5060 Ti (recommended) | £119/mo | -£19/mo (below break-even) | -£228/yr |
| £250/mo | RTX 3050 (entry) | £79/mo | £171/mo | £2,052/yr |
| £250/mo | RTX 5060 Ti (recommended) | £119/mo | £131/mo | £1,572/yr |
| £500/mo | RTX 3050 (entry) | £79/mo | £421/mo | £5,052/yr |
| £500/mo | RTX 5060 Ti (recommended) | £119/mo | £381/mo | £4,572/yr |
| £1,000/mo | RTX 3050 (entry) | £79/mo | £921/mo | £11,052/yr |
| £1,000/mo | RTX 5060 Ti (recommended) | £119/mo | £881/mo | £10,572/yr |
| £2,500/mo | RTX 3050 (entry) | £79/mo | £2,421/mo | £29,052/yr |
| £2,500/mo | RTX 5060 Ti (recommended) | £119/mo | £2,381/mo | £28,572/yr |
| £5,000/mo | RTX 3050 (entry) | £79/mo | £4,921/mo | £59,052/yr |
| £5,000/mo | RTX 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.
Speed vs. Cost: What Matters for Your Workload
Groq offers ultra-fast inference at competitive per-token rates. Their LPU hardware excels at latency-sensitive applications where every millisecond counts. But for batch processing, background tasks, and workloads where response time of 500ms-2s is acceptable, dedicated GPUs deliver the same models at a lower effective per-token cost with no rate limits. The question is whether your use case actually needs sub-100ms time-to-first-token.
Cost-Optimised Inference
- 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 / Mixtral 8x7B delivers comparable quality to LPU Inference 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.
Trading Speed for Savings
- Audit current usage: Export your Groq usage data — identify which requests genuinely need sub-100ms latency vs. those that tolerate standard GPU response times.
- 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.
- Deploy your model: GigaGPU servers come with CUDA, Docker, and inference frameworks pre-installed. Deploy LLaMA 3 8B / Mixtral 8x7B in under 15 minutes.
- Update API endpoints: Groq uses an OpenAI-compatible API. Point your application to your GigaGPU server — same format, different URL.
- Run parallel testing: Run both Groq and your self-hosted model in parallel for 1-2 weeks, paying particular attention to latency impact on user experience.
- Cut over: Once validated, switch fully to your dedicated server and cancel your Groq subscription.
Seamless API Swap
Groq uses OpenAI-compatible API endpoints. GigaGPU servers support the same format via vLLM or TGI. Migration requires changing only the base URL and API key. The one difference: response latency will be higher on GPU hardware than Groq’s LPU. For most applications, this difference is imperceptible to end users.
Prioritise Cost Efficiency Over Raw Speed
Stop paying per-token to Groq. Get a dedicated GigaGPU server from £79/month (RTX 3050) or £119/month (RTX 5060 Ti, recommended) with unlimited inference.
