CUDA Cores
VRAM
GB/s
7,424
CUDA Cores
795
Base MHz
2040
Boost MHz
24GB GDDR6
192-bit bus
30
FP32 TFLOPS
120
FP16 TFLOPS
72W
TDP
2
Available Instances
$0.43/hr
Starting Price
| Architecture | Ada Lovelace (Unknown) |
| Release Date | 2023-03-21 |
| Launch Price | $3,000.00 |
| Process | 4nm |
| Transistors | 35.8B |
Gen 4
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
6.1in
Length
2.7in
Width
1-slot
Height
The NVIDIA L4 is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 24GB of VRAM and 7,424 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2023, the L4 features Ada Lovelace 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 L4, pricing starts at $0.43/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 300 GB/s enabling fast data transfer for large datasets.
The L4 features CUDA compute capability 8.9 and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 4nm 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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