HARDWARE FIT CHECK • Meta Llama 3.3 70B Instruct + 2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM)49.96 GB / 48 GB VRAM

Can I Run Meta Llama 3.3 70B Instruct on 2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM)?

Full VRAM footprint analysis, tokens/sec generation benchmark, and copy-paste Ollama & vLLM runtime commands for running Meta Llama 3.3 70B Instruct (70.6B) on 2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM) (48 GB).

⚠️ Exceeds VRAM — Requires Partial CPU/RAM Offload (Slow)49.96 GB (104%)~3 t/s

Model & Target Hardware

interactive

Model70.6B Dense

Standard 70B Dense Enterprise Baseline for 48GB–64GB Rigs

Target Hardware48GB • 936 GB/s

▼ Fine-Tune Precision (Q4_K_M, 32K ctx, Q8_0 KV)quant / context

Meta Llama 3.3 70B Instruct on 2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM)

⚠️ Partial Offload — Slow CPU/RAM Spillover

⚡ PARTIAL OFFLOAD

Required VRAM

49.96 GB

104% of hardware capacity (48 GB)

Est. Decode Speed

~3 tok/s

Dense model @ 936 GB/s

Available Headroom

-1.96 GB

Needs +1.96 GB more VRAM

Memory Allocation & Headroom

49.96 GB allocated of 48 GB capacity

104% utilized

Weights: 42.36 GB

KV: (32K): 5.37 GB

Overhead: 2.23 GB

Deficit: -1.96 GB

⚡ Architecture & Throughput Transparency: Single-user decode speed (~3 tok/s) is memory-bandwidth bound at batch size = 1 on 2x NVIDIA RTX 3090 Dual Rig (48GB Total VRAM) (936 GB/s). Prompt prefill / TTFT (~44 tok/s) is compute-bound and utilizes GPU Tensor cores. Actual latency varies with FlashAttention-2 and runtime engine (Ollama/vLLM/llama.cpp).

OLLAMA_FLASH_ATTENTION=1 OLLAMA_KV_CACHE_TYPE=q8_0 ollama run llama3.3:70b

⚠️ Out of VRAM? Don't downgrade model quality.

Out of VRAM

Spin up an on-demand cloud GPU instance in 60 seconds with pre-installed Ollama and vLLM. (Meta Llama 3.3 70B Instruct @ 49.96 GB VRAM)

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Quantization Precision Matrix

32K ctx • KV: Q8_0

Quantization	Weights	KV Cache	Total VRAM	Est. Speed	Fit Status
FP1616 bpw	141.2 GB	5.37 GB	152.26 GB (317%)	0 t/s	OOM
Q8_08.5 bpw	74.84 GB	5.37 GB	83.58 GB (174%)	0 t/s	OOM
Q6_K6.56 bpw	57.89 GB	5.37 GB	66.04 GB (138%)	0 t/s	OOM
Q5_K_M5.68 bpw	50.13 GB	5.37 GB	58 GB (121%)	~2 t/s	PARTIAL
Q4_K_M4.8 bpw	42.36 GB	5.37 GB	49.96 GB (104%)	~3 t/s	PARTIAL
FP44.25 bpw	37.42 GB	5.37 GB	44.85 GB (93%)	~15 t/s	FITS
IQ3_XS3.3 bpw	28.95 GB	5.37 GB	36.08 GB (75%)	~19 t/s	FITS