DeepSeek 7B on RTX 5090: Monthly Cost & Token Output
Dedicated RTX 5090 hosting for DeepSeek 7B (7B) inference — fixed monthly pricing with unlimited tokens.
210 Tokens per Second — the Fastest DeepSeek 7B Setup
If raw speed is your priority, the RTX 5090 delivers. At 210 tok/s, it is the fastest single-GPU option for DeepSeek 7B on GigaGPU, generating over 544 million tokens monthly. The 32 GB of VRAM means you could even co-host a second small model alongside DeepSeek without breaking a sweat.
| Metric | Value |
|---|---|
| GPU | RTX 5090 (32 GB VRAM) |
| Model | DeepSeek 7B (7B parameters) |
| Monthly Server Cost | £179/mo |
| Tokens/Second | ~210.0 tok/s |
| Tokens/Day (24h) | ~18,144,000 |
| Tokens/Month | ~544,320,000 |
| Effective Cost per 1M Tokens | £0.3289 |
Per-Token API Cost Comparison
The 5090’s sheer throughput makes the per-token economics compelling even against aggressively priced API providers:
| Provider | Cost per 1M Tokens | GigaGPU Savings |
|---|---|---|
| GigaGPU (RTX 5090) | £0.3289 | — |
| Together.ai | $0.20 | Comparable |
| Fireworks | $0.20 | Comparable |
| DeepInfra | $0.13 | Comparable |
At full utilisation on DeepInfra, 544M tokens would cost roughly $70.76 per month. GigaGPU charges £179, but that includes 25 GB of spare VRAM, no rate limits, complete data sovereignty, and the ability to run additional models on the same card.
Volume Break-Even
Against DeepInfra’s $0.13/1M token rate, break-even arrives at approximately 1,376.9M tokens/month. With continuous batching under heavy concurrent load, the 5090 can approach those numbers — something lighter GPUs cannot.
Even below break-even, the 5090 justifies its price through predictable costs, ultra-low latency, and the operational flexibility to fine-tune, quantise, or swap models without touching a billing dashboard.
Configuration Highlights
- 25 GB free VRAM: DeepSeek 7B uses ~7 GB, leaving a massive 25 GB for deep KV caches, large batch sizes, or even a second lightweight model.
- Quantisation headroom: INT8 or INT4 can push throughput past 270 tok/s when maximum speed matters more than floating-point precision.
- Multi-user ready: vLLM continuous batching can serve 100+ concurrent users from a single RTX 5090.
- Cluster scaling: Pair multiple 5090 servers for enterprise-grade throughput across thousands of concurrent sessions.
Perfect For
- High-traffic customer-facing AI products
- Enterprise RAG deployments with heavy concurrency
- Real-time content and code generation services
- Multi-model inference on a single GPU
- Large-scale batch processing with tight turnaround deadlines
Peak DeepSeek 7B Performance: £179/Month
Get the fastest single-GPU DeepSeek 7B setup available. 32 GB VRAM, 210 tok/s, flat-rate billing.
