NVIDIA A40 48GB 48GB GPU memory, main body cost separate
696 GB/s 384-bit 48GB ECC VRAM. This is a high-capacity GPU that can load 70B class 4-bit or 27B~35B high-precision models on a single card in used workstation and server environments.
Speed and memory for the same model
Hardware core specifications
- Available memory
- 46GB
- Memory bandwidth
- 696GB/s
- Estimated sustained LLM load
- About 400W
- Korean price range (KRW)
- 630 × KRW 10,000–630 × KRW 10,000
Who it fits
- Utilizes 46GB of available memory
- CUDA-based local inference
- Qwen3.8-Flash-Next level high-speed generation
Skip it if
Prices cover the GPU alone; electricity estimates cover the entire PC including the GPU. Add the host PC, power supply and cooling to your purchase budget.
Recommended format for each device 4K input
The model you will experience with this equipment
K2 Horizon 0.9B
Required 1.03GB · spare time
llama.cpp CUDA · Q4_K_M
Decode
945.5 ~ 1050.6 tok/s
First token
0.30 to 0.52 seconds
Qwen3.8-Flash-Next
recommendedRequired 107.13GB · tight
llama.cpp CUDA · Q4_K_M
Decode
8 ~ 8.2 tok/s
First token
3.6 to 6.1 seconds
Actual speed varies with runtime version, cooling, context length and quantization file.
On sales pages, look at memory before chips.
The model and speed assumptions above change if the product is not the 48GB configuration.
Frequently asked questions
- Which local LLM can be run on an NVIDIA A40 48GB?
- K2 Horizon 0.9B, Qwen3.8-Flash-Next and others with a 4K input and the recommended format. Required memory varies by model and context length.
- How much power does a local LLM on an NVIDIA A40 48GB consume?
- Sustained load is about 400 W, with an actual range of 330–500 W.
- Are the displayed token speeds ground truth?
- This is a range aligned to collected benchmark measurements under the same conditions. Combinations without a matching measurement are estimated from the nearest result and vary with runtime, cooling, quantization file and context length.
Equipment to compare together
similar memory
Mac mini M4 Pro 48GB
When you repeatedly read documents and edit code with a 27B model, each wait matters as well as capacity. This page uses the 20-core GPU, 48GB configuration. Distinguish it from less expensive listings with a 16-core GPU.
similar memory
Mac mini M4 32GB
Consider this configuration if you want to run 27B Q4 without building a new PC. Moving up makes sense if 24GB was running out of memory. If the model and cache already fit, however, choosing 32GB does not make the chip itself faster.
similar memory
Mac mini M6 32GB
If you plan to run a Qwen 27B-class Q4 model while keeping a browser or document app open, the 32GB configuration belongs on the shortlist. It has the same 170GB/s memory bandwidth as the 24GB M6, so the reason to buy 8GB more is the headroom left after loading the model. It launched on September 22, 2026, and can now be compared using current configurations and prices.