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Can NVIDIA A6000 run EssentialAI/rnj-1?

Runs Q448GB VRAM availableRequires 5GB+

NVIDIA A6000 meets the minimum VRAM requirement for Q4 inference of EssentialAI/rnj-1. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.

What this means for you

NVIDIA A6000 can run EssentialAI/rnj-1 with Q4 quantization. At approximately 97 tokens/second, you can expect Good speed - acceptable for interactive use.

You have 43GB headroom, which is sufficient for system overhead and smooth operation.

Quantization breakdown

QuantizationVRAM neededVRAM availableEstimated speedVerdict
Q45GB48GB96.81 tok/s✅ Fits comfortably
Q810GB48GB74.77 tok/s✅ Fits comfortably
FP1619GB48GB37.49 tok/s✅ Fits comfortably

Best current price

NVIDIA A6000
$4,899.00 on Amazon
Check Price

Suitable alternatives

AMD Instinct MI300X
192GB
565.11 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
491.11 tok/s
Price: —
AMD Instinct MI300X
192GB
418.60 tok/s
Price: —
NVIDIA H100 SXM5 80GB
80GB
370.30 tok/s
Price: —
NVIDIA H200 SXM 141GB
141GB
364.26 tok/s
Price: —

More questions

NVIDIA A6000 specs & pricingFull guide for EssentialAI/rnj-1EssentialAI/rnj-1 speed on NVIDIA A6000EssentialAI/rnj-1 Q4 requirements