Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
AWS Bedrock vs self-hosted dedicated GPU in 2026 — the up-to-date comparison with current pricing and capabilities.
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
vLLM vs TensorRT-LLM for max-throughput LLM serving — ergonomics vs raw speed. The 2026 trade-off.
vLLM vs SGLang for production LLM serving in 2026 — SGLang's structured-output speed and frontend language vs vLLM's ecosystem.
Template runbook for AI on-call — structure, sections, what to include for each incident class.
Soak testing for AI services — sustained-load testing that catches memory leaks, thermal issues, KV cache fragmentation.
When the canary signals problems, the rollback needs to be fast and clean. The mechanics that make rollback reliable.
How to model LLM inference cost cleanly — tokens, hardware utilisation, ops, fallback. The formula that holds up in budget…
Prompt injection and jailbreaks are different attacks with different defences. Confusing them leads to incomplete protection.
OpenTelemetry instrumentation for AI applications — traces from gateway through embeddings, retrieval, LLM, response.
Sliding window, sparse attention, and mask-based optimisations for long-context LLM serving. The patterns and the trade-offs.
Find exactly what you need — from GPU benchmarks to deployment tutorials.
AI Hosting & Infrastructure
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