Home / Models / Llama 3.1 8B Instruct / NVIDIA RTX 4090 24 GB

Calculated memory fit · performance is a separate section

Can Llama 3.1 8B Instruct run on NVIDIA RTX 4090 24 GB?

Yes. Calculated memory fit: Llama 3.1 8B Instruct can run entirely in this GPU’s usable VRAM at one or more supported quantizations.

Can it run?

Can it run?: Yes, full GPU fit (calculated estimate).
Full GPU fit?: Yes
Model: Llama 3.1 8B Instruct · 8.0B
GPU: NVIDIA RTX 4090 24 GB · 24 GB advertised

What else can NVIDIA RTX 4090 24 GB run? · Find other GPUs for Llama 3.1 8B Instruct

Memory calculation

Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.

Model weights	4.7 GB
KV cache	1.0 GB
Runtime reserve	0.7 GB
Safety margin	0.4 GB
Required (estimated)	6.8 GB
GPU usable VRAM	21.6 GB

Result: FITS IN VRAM

Quantization table

Quantization	2K	4K	8K	16K	32K	64K	128K
BF16	Fits	Fits	Fits	Fits	Fits	Limited context	Limited context
FP16	Fits	Fits	Fits	Fits	Fits	Limited context	Limited context
Q3	Fits	Fits	Fits	Fits	Fits	Fits	Fits
Q4	Fits	Fits	Fits	Fits	Fits	Fits	Limited context
Q5	Fits	Fits	Fits	Fits	Fits	Fits	Limited context
Q6	Fits	Fits	Fits	Fits	Fits	Fits	Limited context
Q8	Fits	Fits	Fits	Fits	Fits	Fits	Limited context

What fits entirely in VRAM?

BF16 at 16K context
BF16 at 2K context
BF16 at 32K context
BF16 at 4K context
BF16 at 8K context
FP16 at 16K context
FP16 at 2K context
FP16 at 32K context
FP16 at 4K context
FP16 at 8K context
Q3 at 128K context
Q3 at 16K context

What requires RAM offload?

Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.

Performance

Separate from memory fit. Runtime is llama.cpp · quantization bucket Q4 (GGUF Q4_0 maps to Q4). Workload is llama-bench pp512 / tg128 (short context, batch 1, full GPU offload). This is not a ranking and not a 8K–128K speed claim.

Model: Llama 3.1 8B Instruct
GPU: NVIDIA RTX 4090 24 GB
Runtime: llama.cpp · CUDA · model 1.0.0
Decode: ~143 tok/s · Calibrated estimate · HIGH confidence (spread ~126 tok/s–~160 tok/s)
Prefill: ~12398 tok/s at a 512-token prompt · Calibrated estimate · MEDIUM confidence
Time to first token: ~41 ms for a 512-token prompt (512 / prefill tok/s). Not estimated at 8K–128K.

decode_tps = GPU_efficiency × memory_bandwidth / model_weight_bytes; efficiency from same-gpu Llama 2 7B Q4_0 efficiency

Performance methodology · Performance explorer

Available graphics cards

These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.

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MSI

MSI GAMING GeForce RTX 4090 X TRIO 24G NVIDIA 24 GB GDDR6X

24 GB · Amazon EXACT

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ASUS

ASUS ROG -STRIX-RTX4090-O24G-WHITE NVIDIA GeForce RTX 4090 24 GB GDDR6X

24 GB · Amazon EXACT

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GIGABYTE

GIGABYTE AERO GeForce RTX 4090 OC 24G NVIDIA 24 GB GDDR6X

24 GB · Amazon EXACT

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GIGABYTE

GIGABYTE GAMING GeForce RTX 4090 OC 24G NVIDIA 24 GB GDDR6X

24 GB · Amazon EXACT

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ASUS

ASUS TUF Gaming TUF-RTX4090-O24G-GAMING NVIDIA GeForce RTX 4090 24 GB GDDR6X

24 GB · Amazon EXACT

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MSI

MSI SUPRIM GeForce RTX 4090 LIQUID X 24G NVIDIA 24 GB GDDR6X

24 GB · Amazon EXACT

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GIGABYTE

GIGABYTE AORUS XTREME AORUS GeForce RTX 4090 XTREME WATERFORCE 24G NVIDIA 24 GB GDDR6X

24 GB · Amazon EXACT

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GIGABYTE

GIGABYTE GeForce RTX 4090 WINDFORCE V2 24G NVIDIA 24 GB GDDR6X

24 GB · Amazon EXACT

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GIGABYTE

GIGABYTE AORUS GeForce RTX 4090 MASTER 24G NVIDIA 24 GB GDDR6X

24 GB · Amazon EXACT

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MSI

MSI GAMING GEFORCE RTX 4090 X SLIM 24G graphics card NVIDIA 24 GB GDDR6X

24 GB · Amazon EXACT

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GIGABYTE

GIGABYTE GeForce RTX 4090 WINDFORCE 24G NVIDIA 24 GB GDDR6X

24 GB · Amazon EXACT

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ASUS

ASUS ROG -STRIX-RTX4090-O24G-GAMING NVIDIA GeForce RTX 4090 24 GB GDDR6X

24 GB · Amazon unmatched

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MSI

MSI SUPRIM GeForce RTX 4090 X 24G NVIDIA 24 GB GDDR6X

24 GB · Amazon unmatched

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ASUS

ASUS TUF Gaming TUF-RTX4090-O24G-OG-GAMING NVIDIA GeForce RTX 4090 24 GB GDDR6X

24 GB · Amazon unmatched

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ASUS

ASUS ROG -STRIX-RTX4090-24G-GAMING NVIDIA GeForce RTX 4090 24 GB GDDR6X

24 GB · Amazon unmatched

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MSI

MSI VENTUS GeForce RTX 4090 3X E 24G OC NVIDIA 24 GB GDDR6X

24 GB · Amazon unmatched

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Sources

Model: official config meta-llama/Llama-3.1-8B-Instruct (official-fallback-config). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: FITS_IN_VRAM. Amazon: affiliate commerce match, not a spec source.