CUDA Cores
VRAM
GB/s
1,664
CUDA Cores
773
Base MHz
1502
Boost MHz
8GB GDDR5
256-bit bus
4.2
FP32 TFLOPS
8.4
FP16 TFLOPS
120W
TDP
1
Available Instances
$0.45/hr
Starting Price
| Architecture | Maxwell (Unknown) |
| Release Date | 2015-06-29 |
| Launch Price | $999.00 |
| Process | 28nm |
| Transistors | 5.2B |
none
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
9.5in
Length
4.4in
Width
1-slot
Height
The NVIDIA Quadro M4000 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 8GB of VRAM and 1,664 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2015, the Quadro M4000 features Maxwell architecture with advanced AI accelerators including Tensor Cores and Transformer Engine support. This makes it ideal for large language models, computer vision tasks, and generative AI applications.
When considering cloud rental options for the Quadro M4000, pricing starts at $0.45/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 192 GB/s enabling fast data transfer for large datasets.
The Quadro M4000 features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 28nm manufacturing process ensures efficient power consumption relative to performance output.
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Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
| Category | Rank 1 | Rank 2 | Rank 3 |
|---|---|---|---|
| Best for Training | NVIDIA H200 | NVIDIA H100 | NVIDIA B200 |
| Best for Inference | NVIDIA A40 | NVIDIA A100 | NVIDIA A10 |
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