GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Customer Feedback Loop Design
Designing the feedback collection mechanism for production AI — UX, infrastructure, what to do with the data.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
AI Feature Rollout Strategy: Summary
How to safely roll out AI features — the consolidated rollout strategy across feature flags, canary, eval, monitoring.
AI Billing Metering Implementation
Metering AI usage for SaaS billing — tokens, requests, storage, fine-tunes. The implementation that holds up to audit.
Evaluator Bias Mitigation
Practical methods to reduce LLM-as-judge bias — position randomisation, blind grading, multi-judge consensus.
AI Checkpoint Versioning Strategy
Versioning model checkpoints — weights, fine-tunes, LoRA adapters. The discipline that survives audits.
AI Microservices vs Monolith
Should the AI tier be a microservice or part of a monolith? The trade-offs depend on team size and integration…
Event-Driven Architecture for AI
Async / event-driven patterns for AI — Kafka / Pub/Sub / SQS triggering inference, parallelisation, batching.
AI + Data Platform Integration
Integrating self-hosted AI with Snowflake / Databricks / BigQuery / dbt — the patterns for data-platform-aligned teams.
Fine-Tune Data Curation
Quality of fine-tuning data matters more than quantity. The curation discipline that produces useful fine-tunes.
Prompt Caching Deep Dive
vLLM's prefix caching, semantic caching, hosted-API prompt caching — the layers and how they compound.
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