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Cost & Pricing

DeepSeek 7B on RTX 5080: Monthly Cost & Token Output

How much does it cost to run DeepSeek 7B on an RTX 5080 per month? Full cost breakdown, token throughput, and API price comparison for dedicated GPU hosting.

DeepSeek 7B on RTX 5080: Monthly Cost & Token Output

Dedicated RTX 5080 hosting for DeepSeek 7B (7B) inference — fixed monthly pricing with unlimited tokens.

324 Million Tokens: Your Monthly Capacity

With 125 tokens per second of sustained throughput, a dedicated RTX 5080 can generate 324 million DeepSeek 7B tokens in a single month. Divide the £109 price tag by that volume and each million tokens costs you just £0.34 — a fraction of what most API providers charge.

MetricValue
GPURTX 5080 (16 GB VRAM)
ModelDeepSeek 7B (7B parameters)
Monthly Server Cost£109/mo
Tokens/Second~125.0 tok/s
Tokens/Day (24h)~10,800,000
Tokens/Month~324,000,000
Effective Cost per 1M Tokens£0.3364

Flat-Rate vs. Per-Token Pricing

API providers meter every token. Here is how GigaGPU’s fixed £109/month stacks up against pay-as-you-go alternatives:

ProviderCost per 1M TokensGigaGPU Savings
GigaGPU (RTX 5080)£0.3364
Together.ai$0.20Comparable
Fireworks$0.20Comparable
DeepInfra$0.13Comparable

The value proposition sharpens as usage grows. At 324M tokens through DeepInfra, you would pay roughly $42. On GigaGPU, £109 covers that volume and any overflow, with data privacy and low latency included.

Break-Even Analysis

Compared to DeepInfra at $0.13/1M tokens, the break-even is approximately 838.5M tokens/month. Above that line, every additional token is free on dedicated hardware.

For teams handling sensitive data or requiring consistent sub-100ms inference, the switch to dedicated hardware often makes sense well before break-even. Compare the full cost picture including ops overhead and data compliance.

Technical Details

  • VRAM layout: DeepSeek 7B uses ~7 GB. The RTX 5080’s 16 GB leaves 9 GB for concurrent KV caches and batched requests.
  • Throughput tuning: INT8 or INT4 quantisation can push throughput beyond 160 tok/s with minimal quality loss.
  • Inference engine: vLLM or TGI with continuous batching for multi-user serving and OpenAI-compatible API endpoints.
  • Scale-out: Add RTX 5080 nodes behind a load balancer for linear throughput scaling.

Target Applications

  • Medium-traffic production chatbots with real-time response requirements
  • Enterprise search powered by retrieval-augmented generation
  • Automated report generation and summarisation
  • Code analysis and completion services
  • High-throughput text classification pipelines

125 tok/s, £109/Month — No Surprises

Deploy DeepSeek 7B on a dedicated RTX 5080 with full root access and zero metered fees.

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