readygpu

NVIDIA GeForce RTX 4060 Ti 16GB vs NVIDIA Tesla P40

For running models locally, priced in India. At 32k context the first runs 13 models fully in memory, the second 26.

In short

The NVIDIA Tesla P40 has more memory for models: 24 GB against 16 GB. At 32k context the NVIDIA Tesla P40 runs 26 of the models we track fully in memory and the NVIDIA GeForce RTX 4060 Ti 16GB 13; only the NVIDIA Tesla P40 holds Qwen 3.8 27B. On the models both run fully in memory, the NVIDIA Tesla P40 is about 1.2× as fast as the NVIDIA GeForce RTX 4060 Ti 16GB (estimated, median across models).

Updated . Speeds are estimates; how they are worked out.

NVIDIA GeForce RTX 4060 Ti 16GB

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NVIDIA Tesla P40

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Specifications

SpecNVIDIA GeForce RTX 4060 Ti 16GBNVIDIA Tesla P40
GPUGeForce RTX 4060 Ti 16GBTesla P40
Memory16 GB GDDR624 GB GDDR5
Memory bus128-bit384-bit
Memory bandwidth288 GB/s346 GB/s
FP16 compute44 TFLOPS11.8 TFLOPS
SoftwareCUDACUDA
Board power165 W250 W
PCIe generationGen 4Gen 3
PCIe lanesx8x16

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelNVIDIA GeForce RTX 4060 Ti 16GBNVIDIA Tesla P40
Qwen 3.8 27Boffload10tok/sUD-Q5_K_M
Qwen 3.6 27Boffload10tok/sQ5_K_M
Gemma 4 31Boffload10tok/sQ4_K_M
Qwen 3.6 35B-A3Boffload50tok/sUD-Q4_K_M
Qwen 3.5 27Boffload10tok/sQ5_K_M
Gemma 4 26B-A4Boffload29tok/sUD-Q6_K
Qwen 3.5 35B-A3Boffload50tok/sQ4_K_M
GLM 4.7 Flashoffload24tok/sQ5_K_M
Devstral Small 2 24Boffload10tok/sQ5_K_M
gpt-oss 20B33tok/sMXFP440tok/sMXFP4
Qwen3 Coder 30B-A3Boffload26tok/sQ4_K_M
Gemma 4 12B13tok/sQ8_016tok/sQ8_0
Qwen 3.5 9B17tok/sQ8_020tok/sQ8_0
Gemma 3 27Boffload10tok/sQ5_K_M
Mistral Small 3.2 24Boffload10tok/sQ5_K_M
Qwen3 14B12tok/sQ4_K_M10tok/sQ8_0
Ministral 3 14B12tok/sQ5_K_M11tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B13tok/sQ8_016tok/sQ8_0
Qwen3 8B13tok/sQ8_016tok/sQ8_0
Phi-4 14Boffload10tok/sQ8_0
Qwen 3.5 4B32tok/sQ8_038tok/sQ8_0
Ministral 3 8B13tok/sQ8_016tok/sQ8_0
Granite 4.2 8B12tok/sQ8_015tok/sQ8_0
Gemma 4 E4B20tok/sQ8_023tok/sQ8_0
LFM2.5 8B-A1B40tok/sQ8_048tok/sQ8_0
Llama 3.1 8B16tok/sQ6_K20tok/sQ6_K
Qwen 3.5 122B-A10Boffloadoffload
Qwen3 Coder Nextwon't runoffload
Mistral Small 4 119Boffloadoffload
GLM 4.5 Airwon't runoffload
Qwen3 Next 80B-A3Bwon't runoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 32Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
Qwen 3.8 Flash Nextwon't runwon't run
MiniMax M2.7won't runwon't run
Nemotron 3 Super 120B-A12Bwon't runwon't run
gpt-oss 120Bwon't runwon't run
Llama 3.3 70Bwon't runwon't run

Questions

Which is better for local AI, the NVIDIA GeForce RTX 4060 Ti 16GB or the NVIDIA Tesla P40?
Choose the NVIDIA Tesla P40 to run bigger models. Choose the NVIDIA Tesla P40 for speed.
Which can run bigger models, the NVIDIA GeForce RTX 4060 Ti 16GB or the NVIDIA Tesla P40?
At 32k context the NVIDIA Tesla P40 runs 26 of the models we track fully in memory and the NVIDIA GeForce RTX 4060 Ti 16GB 13; only the NVIDIA Tesla P40 holds Qwen 3.8 27B.
Which is faster for local AI, the NVIDIA GeForce RTX 4060 Ti 16GB or the NVIDIA Tesla P40?
On the models both run fully in memory, the NVIDIA Tesla P40 is about 1.2× as fast as the NVIDIA GeForce RTX 4060 Ti 16GB (estimated, median across models).

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