GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Real-Time Audio to Whisper: WebSocket Setup
Build a real-time audio streaming pipeline to Whisper using WebSockets. Covers server setup, audio chunking, VAD integration, partial results, and low-latency transcription on GPU servers.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
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 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…
NCCL Error: Multi-GPU Communication Troubleshooting
Fix NCCL errors on multi-GPU servers. Covers RuntimeError unhandled system error, connection timeouts, initialization failures, and network configuration for distributed…
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 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 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…
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