GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
On-Premise vs Cloud vs Dedicated: AI Hosting Guide
Comparing on-premise hardware, cloud GPU instances, and dedicated GPU servers for AI workloads. Total cost of ownership, performance consistency, and data sovereignty across all three models.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Monolith vs Microservices for AI Inference
Monolithic versus microservices architecture for AI inference pipelines. Comparing deployment complexity, latency, scaling, and when to split your AI stack…
API-First vs Model-First AI Architecture
Comparing API-first and model-first approaches to AI system design. When to build around API contracts versus optimising for model performance,…
Single GPU vs Multi-GPU vs Multi-Server: Scaling Guide
Compare single GPU, multi-GPU, and multi-server configurations for AI inference and training. Understand when each scaling tier delivers the best…
Kubernetes vs Docker Compose for AI: When to Scale
Kubernetes versus Docker Compose for AI workload orchestration. Understanding when the complexity of K8s is justified for GPU inference versus…
Docker vs Bare Metal for AI Inference: Performance Comparison
Docker containers versus bare metal for AI inference performance. Measuring GPU overhead, deployment flexibility, and operational trade-offs on dedicated GPU…
AssemblyAI vs Self-Hosted Whisper: Transcription Comparison
AssemblyAI's transcription API versus self-hosted Whisper models. Comparing accuracy, features, cost, and scalability for audio processing on dedicated GPU hosting.
Ollama vs llama.cpp: Ease vs Performance Trade-Off
Comparing Ollama's one-command simplicity with llama.cpp's raw performance on GPU servers. Discover which tool fits your workflow and when ease…
Deepgram vs Self-Hosted Whisper: STT Comparison
Deepgram's speech-to-text API versus self-hosted Whisper for transcription. Comparing accuracy, latency, cost, and deployment options on dedicated GPU hosting.
ElevenLabs vs Self-Hosted TTS: Voice Quality Comparison
ElevenLabs API versus self-hosted TTS models for voice quality. Cost comparison at scale, voice naturalness benchmarks, and data privacy considerations…
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