GPU Hosting & AI Engineering Blog
Benchmarks, GPU comparisons, deployment guides, and cost analysis — everything you need to run AI on dedicated GPU servers.
Blackwell vs Ada – The Generational Leap for AI Workloads
What actually changed between RTX 40-series Ada and RTX 50-series Blackwell for AI, in plain terms, without marketing noise.
Latest Articles
Fresh benchmarks, comparisons, and deployment guides from the GigaGPU team.
Batch Size Scaling on Multi-GPU LLM Servers
More GPUs means bigger batches - but the curve is not linear and the right batch size shifts with your…
AMD Radeon AI Pro R9700 vs RTX 5080 for Stable Diffusion XL
32GB AMD workstation card versus 16GB Blackwell flagship - which actually renders SDXL faster in a production pipeline?
AMD R9700 vs Intel Arc Pro B70 – 32GB Non-CUDA Tier
The two 32GB workstation cards on GigaGPU that do not require CUDA - when to pick AMD and when to…
RTX 6000 Pro vs Dual RTX 5090 for LLM Inference
One 96GB card or two 32GB cards lashed together - which architecture serves 70B models better in production?
RTX 5080 vs RTX 5090 – The Real-World Gap for AI
Both are Blackwell. Both are fast. The 5090 costs more. How much performance do you actually get for the upgrade?
RTX 5060 Blackwell vs RTX 3050 – Budget Starter GPU for AI
Two entry-level cards compared for anyone hosting their first AI workload on a dedicated server.
RTX 4060 vs RTX 5060 – Same 8GB, Different Silicon
Two 8GB cards that look interchangeable on a spec sheet - until you look at bandwidth, FP8, and what AI…
RTX 4060 Ti 16GB vs RTX 5060 Blackwell for LLM Serving
The 16GB Ada card versus the 8GB Blackwell newcomer - which one actually serves LLMs better on a dedicated server?
RTX 3090 vs RTX 4060 Ti 16GB – Value Per VRAM in 2026
Older 24GB Ampere flagship versus current 16GB Ada mid-range - which one gives you more usable VRAM per pound on…
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