DeepSeek Hosting
Self-Host DeepSeek R1, V3 & Coder on Dedicated UK GPU Servers
Run DeepSeek models on your own hardware. Full root access, zero per-token fees, complete data privacy. The most cost-effective DeepSeek hosting option at scale.
Why Self-Host DeepSeek Instead of Using the API?
DeepSeek’s reasoning and coding models have set new benchmarks in the open-weight AI space. DeepSeek-R1 matches or exceeds GPT-4-class performance on maths, science, and complex reasoning tasks — and it’s fully open-weight, meaning you can run it on your own dedicated GPU server with no per-token charges.
GigaGPU’s DeepSeek hosting service gives you a bare metal GPU server in the UK, pre-configured to run any DeepSeek model via Ollama, vLLM, or Hugging Face. You get the full GPU, NVMe storage, 128GB RAM, and root access. No shared resources, no usage limits, no data leaving your environment.
Whether you’re evaluating DeepSeek hosting options for a production chatbot, an internal reasoning engine, or a private coding assistant — a dedicated GPU server eliminates the cost unpredictability of API-based DeepSeek access and gives you full control over latency, throughput, and data sovereignty.
Trusted by AI teams, SaaS companies, and research groups across the UK and Europe for private DeepSeek deployments.
DeepSeek Models You Can Host
The complete DeepSeek model family — from compact distilled variants to the full 671B flagship — all deployable on GigaGPU dedicated GPU servers.
All DeepSeek models are available via Ollama, vLLM, Hugging Face Transformers, or llama.cpp. VRAM requirements vary by model size and quantisation level.
Best GPUs for DeepSeek Hosting
Recommended GPU configurations for the most popular DeepSeek models and workloads.
24GB handles DeepSeek-R1 14B at Q4 with strong throughput, or runs the 8B/7B distilled variants at higher precision. The best starting point for most DeepSeek hosting workloads.
32GB GDDR7 runs DeepSeek-R1 32B at Q4 with the fastest single-GPU throughput available. Blackwell 2.0 architecture makes R1 32B viable for real-time production inference and multi-user APIs.
96GB runs DeepSeek-R1 70B at full Q4 quality on a single GPU — no quantisation compromise. Also handles the full 671B R1 at aggressive quantisation. Ideal for enterprise DeepSeek hosting where output quality is non-negotiable.
32GB RDNA 4 with 644 GB/s bandwidth — a cost-effective alternative for running DeepSeek-R1 32B. Supports ROCm workflows and delivers strong throughput at a competitive price point.
Which GPU Do I Need for DeepSeek?
Answer three quick questions and we’ll recommend the right server for your DeepSeek workload.
DeepSeek Hosting Pricing — Full GPU Lineup
Token throughput figures are rough estimates under single-user, single-GPU conditions at Q4_K_M quantisation. Real-world performance varies significantly with concurrent requests, context length, cooling, and configuration. See benchmark methodology →
DeepSeek Hosting Cost: Self-Hosted GPU vs. API Providers
For higher-volume workloads, a flat-rate dedicated GPU server is a better-value alternative to per-token DeepSeek API access. Here's how the costs compare.
API-Based DeepSeek Access
GigaGPU Self-Hosted DeepSeek
Example: DeepSeek-Powered Reasoning API at 10M Tokens/Day
API cost estimates are based on publicly listed per-token pricing at time of writing and are indicative only. Actual savings depend on model choice, usage patterns, and the specific API tier used. GPU server prices retrieved live from the GigaGPU portal. Use our full GPU vs API cost calculator →
DeepSeek Hosting Benchmark — GPU Performance Comparison
Estimated DeepSeek-R1 14B tokens/sec at Q4_K_M quantisation via Ollama. See our full benchmark page for detailed methodology.
| GPU | VRAM | R1 14B tok/s (Q4) | Max DeepSeek Model (Q4) | Relative Performance |
|---|---|---|---|---|
| RTX 4060 8GB | 8 GB | ~35 tok/s | R1 7B/8B | |
| RTX 4060 Ti 16GB | 16 GB | ~55 tok/s | R1 14B | |
| RTX 3090 24GB | 24 GB | ~70 tok/s | R1 14B / R1 32B Q2 | |
| RX 9070 XT 16GB | 16 GB | ~80 tok/s | R1 14B | |
| Radeon AI Pro R9700 | 32 GB | ~90 tok/s | R1 32B | |
| RTX 5080 16GB | 16 GB | ~120 tok/s | R1 14B | |
| RTX 6000 PRO 96GB | 96 GB | ~130 tok/s (R1 70B Q4) | R1 671B Q2 | |
| RTX 5090 32GB | 32 GB | ~180 tok/s | R1 32B / R1 70B Q2 |
Figures are estimates based on single-GPU, single-user inference at Q4_K_M quantisation using Ollama. Real-world throughput varies with concurrent users, context length, system RAM, and cooling. See full benchmark methodology →
DeepSeek-R1 14B Tokens Per Second by GPU
Estimated throughput running DeepSeek-R1 14B at Q4_K_M via Ollama. Single user, single GPU. Higher is faster.
Estimates only · DeepSeek-R1 14B Q4_K_M · Single user · Full benchmark methodology →
DeepSeek Hosting Cost Calculator — GPU vs API
Estimate your monthly cost savings when switching from DeepSeek API pricing to a dedicated GPU server.
DeepSeek Hosting Use Cases
From private reasoning engines to production coding assistants — dedicated GPU servers power every DeepSeek workload.
Private DeepSeek Reasoning Engine
Self-host DeepSeek-R1 as an internal reasoning engine for complex problem-solving, data analysis, and chain-of-thought tasks — without sending sensitive prompts to third-party APIs.
AI Coding Assistant
Deploy DeepSeek-Coder-V2 or DeepSeek-Coder 33B as a private coding assistant. Integrate with VS Code Continue, Cursor, or any IDE plugin for code completion, review, and debugging.
Private DeepSeek API Hosting
Run your own OpenAI-compatible DeepSeek API via vLLM or Ollama. Drop-in replacement for the DeepSeek API or OpenAI — with zero per-token fees and full data control.
RAG with DeepSeek Reasoning
Combine DeepSeek-R1's reasoning capability with ChromaDB or Qdrant for retrieval-augmented generation. Ideal for complex document Q&A where multi-step reasoning improves answer quality.
Enterprise AI — GDPR Compliant
Keep all data on UK servers. DeepSeek-R1 delivers GPT-4-class reasoning without any data leaving your infrastructure — ideal for legal, healthcare, and financial compliance requirements.
Maths & Science Workloads
DeepSeek-R1 scores competitively on MATH, AIME, and GPQA benchmarks. Self-host it for research, tutoring platforms, or any application requiring strong mathematical reasoning.
DeepSeek-Powered Chatbot
Build a private ChatGPT-style chatbot using DeepSeek-V3 or R1 with Open WebUI or a custom frontend. No usage caps, no data sharing, no per-message fees.
Fine-Tuning DeepSeek Models
Full GPU access for LoRA or QLoRA fine-tuning of DeepSeek models. Adapt R1's reasoning capabilities to your domain — legal, medical, financial, or custom datasets.
Benefits of Self-Hosting DeepSeek
Why more teams are choosing dedicated GPU hosting over API-based DeepSeek access.
Predictable, Flat-Rate Pricing
No per-token fees, no surprise bills. A fixed monthly cost for unlimited DeepSeek inference — the most cost-effective DeepSeek hosting option at sustained volumes.
Complete Data Privacy
Your prompts and responses never leave your server. No third-party data processing agreements. Full GDPR compliance with UK-based infrastructure.
No Rate Limits or Queuing
Dedicated GPU resources mean no shared-resource throttling. No API rate limits, no request queuing during peak hours — consistent performance around the clock.
Full Model Control
Choose your quantisation level, adjust context length, swap models at will. Fine-tune DeepSeek for your domain. Run multiple model variants simultaneously on different ports.
No Vendor Lock-In
If DeepSeek changes API pricing, terms, or availability, you're unaffected. Self-hosting DeepSeek means you own the deployment — switch models or scale up on your terms.
Lower Latency for UK/EU Users
UK-based bare metal servers deliver lower latency than routing through DeepSeek's API endpoints. Critical for real-time applications and production chatbots serving European users.
Is There a Cheap Alternative to DeepSeek API Hosting?
Indicative monthly cost comparison for a 100M tokens/month DeepSeek workload. Self-hosting is typically the cheapest DeepSeek hosting option at scale.
DeepSeek API & Third-Party Providers
* API pricing scales linearly with usage. Traffic spikes mean instant cost increases. All data sent to third-party servers.
GigaGPU Self-Hosted DeepSeek
* One flat monthly rate regardless of token volume. At higher sustained usage, a dedicated GPU is the cheapest DeepSeek hosting option available — with full data sovereignty as a bonus.
API cost estimates are indicative only, based on published per-token pricing at time of writing and a 100M tokens/month workload (output tokens). Actual savings will vary. GPU server pricing is retrieved live from the GigaGPU portal above. See our GPU vs API cost calculator →
Compatible Frameworks for DeepSeek Hosting
Every GigaGPU server ships with full root access — deploy DeepSeek with any framework in minutes.
Deploy DeepSeek in 4 Steps
From order to running DeepSeek inference in under 30 minutes.
Choose Your GPU
Pick the GPU that matches your DeepSeek model size — 8GB for R1 7B, 24GB for R1 14B, 32GB for R1 32B, or 96GB for R1 70B. Select your OS and NVMe storage.
Server Provisioned
Your dedicated GPU server is provisioned and you receive SSH or RDP credentials. Typical deployment time is under one hour.
Pull DeepSeek via Ollama
Run curl -fsSL https://ollama.com/install.sh | sh then ollama run deepseek-r1:32b — model downloads in minutes and is ready for inference immediately.
Start Serving Inference
Point your app at the local API endpoint or expose it via Nginx. You're live — unlimited DeepSeek tokens, zero per-call fees, complete data privacy.
DeepSeek Hosting — Frequently Asked Questions
Everything you need to know about self-hosting DeepSeek models on dedicated GPU hardware.
/v1/chat/completions). You can point any existing OpenAI SDK, LangChain pipeline, or integration at your DeepSeek server's IP address and it will work without code changes. This makes migrating from OpenAI, the DeepSeek API, or any other provider to a self-hosted DeepSeek deployment straightforward.Available on all servers
- 1Gbps Port
- NVMe Storage
- 128GB DDR4/DDR5
- Any OS
- 99.9% Uptime
- Root/Admin Access
Our dedicated GPU servers provide full hardware resources and a dedicated GPU card, ensuring unmatched performance and privacy for DeepSeek hosting. Self-host DeepSeek-R1, DeepSeek-V3, DeepSeek-Coder, and the full model family — with no shared resources, no token fees, and complete data sovereignty.
Get in Touch
Need help choosing the right GPU for your DeepSeek workload? Our team can recommend the best configuration for your model size, throughput requirements, and budget.
Contact Sales →Or browse the knowledgebase for setup guides on Ollama, vLLM, and more.
Start Hosting DeepSeek on Your Own GPU Today
Flat monthly pricing. Full GPU resources. UK data centre. Deploy DeepSeek-R1, V3, and Coder in under an hour.
