LLM Hosting
Deploy large language models on your own hardware. Our LLM hosting guides cover deployment with vLLM, Ollama, and other frameworks on dedicated GPU servers. Run open source LLMs like LLaMA, Mistral, and DeepSeek with full control and no per-token costs.
System Prompts for Production LLMs
Design effective system prompts for production LLM deployments. Covers persona definition, output formatting, constraint enforcement, prompt injection defense, and testing strategies on GPU servers.
LLM Output: Structured JSON Responses
Get reliable structured JSON output from self-hosted LLMs. Covers guided generation, output parsing, schema enforcement, error recovery, and vLLM structured…
LLM Streaming: SSE Implementation
Implement Server-Sent Events streaming for self-hosted LLMs. Covers vLLM streaming API, SSE protocol, client-side consumption, error handling, and token-by-token delivery…
LLM Rate Limiting: API Protection
Implement rate limiting for self-hosted LLM APIs. Covers token bucket algorithms, per-user limits, Nginx rate limiting, queue-based throttling, and abuse…
LLM Request Queuing: Concurrent Users
Handle concurrent LLM requests with proper queuing. Covers priority queues, batch scheduling, timeout management, backpressure, and scaling strategies for multi-user…
LLM Prompt Caching: Reduce Compute
Reduce LLM compute costs with prompt caching. Covers prefix caching in vLLM, KV cache reuse, system prompt deduplication, semantic caching,…
LLM A/B Testing in Production
A/B test different LLM models and configurations in production. Covers traffic splitting, metric collection, statistical significance, rollback strategies, and multi-model…
LLM Response Filtering: Content Safety
Implement content safety filtering for self-hosted LLM responses. Covers output scanning, keyword filters, classifier-based moderation, PII redaction, and guardrail integration…
LLM Fallback: Handling GPU Failures
Build resilient LLM serving with fallback strategies for GPU failures. Covers health checks, automatic failover, degraded mode, CPU fallback, and…
LLM Context Window: Sliding Strategy
Manage LLM context window limits with sliding window strategies. Covers message truncation, summarisation, token counting, priority retention, and memory-efficient conversation…
Explore GPU Hosting Solutions
From the blog to your next deployment — pick the right platform for your workload.
Dedicated GPU Hosting
Bare-metal servers with a dedicated GPU, NVMe, full root access, and 1Gbps networking from our UK datacenter.
Browse GPU ServersOpen Source LLM Hosting
Deploy LLaMA, Mistral, DeepSeek, and more on dedicated hardware with no per-token API fees.
Explore LLM HostingvLLM Hosting
High-throughput LLM inference with vLLM on dedicated GPU servers — PagedAttention, continuous batching.
Deploy vLLMOllama Hosting
The easiest way to run open source LLMs — deploy Ollama on a dedicated GPU server in minutes.
Deploy OllamaCost per Million Tokens
Estimate your LLM inference costs across GPU tiers — interactive calculator with real pricing.
Calculate CostTokens/sec Benchmarks
Real-world tokens per second data across every GPU we offer, tested on popular LLMs.
View BenchmarksReady to deploy your AI workload?
Dedicated GPU servers from our UK datacenter. NVMe storage, 1Gbps networking, full root access.
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