GPUniq Blog — GPU rental guides, LLM infrastructure and cloud GPU price analytics
- LLM Deployment & Inference·OCTOBER 6, 2026
Run 70B Models: GPU Fit & Speed
Llama 3.3 70B fits on a single RTX 4090 (24 GB) using fp8 quantization, requiring 95.5 GB of effective memory across GPU and system RAM, and delivers 24.5 tokens/second. On an H100 (80 GB) with int4, it reaches 54.5 tokens/second at 62.9% VRAM use. The RTX 5090 at $1,999 has the…
GTGPUniq Team·9 min read - LLM Deployment & Inference·SEPTEMBER 22, 2026
Llama 3.3 70B VRAM Calculator
Llama 3.3 70B requires 95.5 GB at fp8 and 56.3 GB at int4. A single RTX 4090 (24 GB) cannot run it at any quantization level. The RTX 5090 (32 GB) reaches the int4 minimum only as a dual-card NVLink pair (64 GB combined), hitting 47.7 tokens/sec at 87.9% use. Source: GPUniq…
GTGPUniq Team·7 min read
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