GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
FP16 vs INT8 vs INT4: When to Use Each for LLM Inference
A practical guide to choosing between FP16, INT8, and INT4 precision for LLM inference, with speed, quality, and VRAM trade-offs across popular models and GPUs.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
FlashAttention: How It Reduces VRAM Usage
How FlashAttention reduces VRAM consumption and speeds up LLM inference through IO-aware attention computation, with benchmarks and setup instructions for…
Fintech AI: Low-Latency Inference on Dedicated Hardware
Deploy low-latency AI inference for fintech applications on dedicated GPU servers. Covers fraud detection, risk scoring, NLP for compliance, GPU…
RTX 3090 vs RTX 5080: Throughput per Dollar
Comparing the RTX 3090 and RTX 5080 on throughput per dollar for LLM inference workloads, with benchmarks across model sizes…
RTX 3090: Maximum LLM Throughput (Requests/sec)
Maximum LLM request throughput benchmarks for the RTX 3090 — requests per second at batch sizes from 1 to 64…
Replace Pinecone with Self-Hosted Vector DB: Migration
Step-by-step migration from Pinecone to self-hosted vector databases (Qdrant, ChromaDB, Milvus) on dedicated servers — with cost comparison and deployment…
Replace OpenAI API with Self-Hosted LLaMA: Step-by-Step
Step-by-step migration guide from OpenAI API to self-hosted LLaMA on dedicated GPU — covering API compatibility, code changes, deployment, and…
Replace Google Vision with Self-Hosted OCR: Migration
Step-by-step migration from Google Cloud Vision API to self-hosted PaddleOCR on dedicated GPU — covering deployment, accuracy tuning, and cost…
Replace ElevenLabs with Self-Hosted TTS: Migration Guide
Step-by-step migration from ElevenLabs API to self-hosted TTS on dedicated GPU — covering model selection, deployment, API compatibility, and cost…
Qwen 2.5 Quantization: Performance by Format & GPU
Performance comparison of Qwen 2.5 7B and 72B across GPTQ, AWQ, GGUF, and FP16 on multiple GPUs, with quality benchmarks…
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