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Run LLM Locally

Qwen3 14B on the Tesla P40

With 24 GB of VRAM, the Tesla P40 runs Qwen3 14B at Q4_K_M entirely on the GPU with an 8K context (about 11 GB needed). At Q8_0 it fits entirely.

Qwen3 14B

Q4_K_M · 8K context

Excellent

The model needs about 11 GB and fits in the 23.3 GB available, with 12.3 GB to spare.

Your hardware
Tesla P40 24 GB · 64 GB RAM
Estimated memory
~11 GB estimate
VRAM (usable memory)
23.3 GB
GPU only
Yes
CPU/GPU offload
Not required
Generation speed
26–34 tok/s estimate
Largest context in fast memory
83K tokens
Confidence: low

Based on: memory bandwidth (346 GB/s) and model size

Memory breakdown

~11 GB (10.5 GB–11.5 GB) needed · estimate

Fits entirely in VRAM · 12.3 GB left

  • Model weights8.4 GB
  • KV cache1.3 GB
  • Runtime overhead0.8 GB
  • Safety margin0.5 GB
Assumptions: context 8K tokens · KV cache f16 · llama.cpp (CUDA) · flash attention on · weights = real file size

EstimateData updated 24 days agoSource: Run LLM Locally engine, Hugging Face config.json + model card

What makes this estimate less reliable

  • no benchmark for this hardware and model yet

Other quantizations on the Tesla P40

Qwen3 14B on Tesla P40 + 64 GB RAM · 8K context
Qwen3 14B Q8_08K~17.5 GB · 16–21 tok/s estimateExcellent
Qwen3 14B Q6_K8K~14 GB · 20–26 tok/s estimateExcellent
Qwen3 14B Q5_K_M8K~12.5 GB · 23–30 tok/s estimateExcellent
Qwen3 14B Q4_K_M8K~11 GB · 26–34 tok/s estimateExcellent
Qwen3 14B IQ4_XS8K~10.1 GB · 28–38 tok/s estimateExcellent
Qwen3 14B Q3_K_M8K~9.3 GB · 31–41 tok/s estimateExcellent

Alternatives

Hardware that runs Qwen3 14B Q4_K_M entirely in memory

Prices and links follow the market you choose.

GeForce RTX 3060 12 GB

NVIDIA

CompatibleRuns Qwen3 14B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

Radeon RX 7600 XT

AMD

ExcellentRuns Qwen3 14B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

MacBook Pro 14 M3 Pro

Apple Silicon

CompatibleRuns Qwen3 14B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

AMD Ryzen AI Max+ 395

Unified memory PC

ExcellentRuns Qwen3 14B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

No current offer imported for this market: the link opens a marketplace search.

Frequently asked questions

Can the Tesla P40 run Qwen3 14B?
The model needs about 11 GB and fits in the 23.3 GB available, with 12.3 GB to spare.
Which quantization should I use on the Tesla P40?
Q8_0 is the highest-precision quantization that fits entirely in VRAM at 8K context. ~17.5 GB / 23.3 GB.
What is the largest context on the Tesla P40?
At Q4_K_M, about 83K tokens fit entirely in VRAM with an f16 KV cache. A q8_0 KV cache roughly doubles that.
How fast is Qwen3 14B (Tesla P40)?
We estimate 26–34 tok/s (estimate, confidence low). Based on: memory bandwidth (346 GB/s) and model size.