L4 vs AMD Radeon RX 7900 XTX

Detailed comparison of specifications, performance, and pricing between NVIDIA L4 and AMD Radeon RX 7900 XTX

🏆
Overall Winner
L4
Wins 3 of 7 categories
Performance Leader
L4
242.0 TFLOPS (+98%)
The L4 is 98% faster.

Difference Analysis

Metric
L4
Difference
AMD Radeon RX 7900 XTX
Tensor TFLOPS
242.0
+98%
122.0
VRAM
24GB
=
24GB
Memory Bandwidth
300 GB/s
-220%
960 GB/s
Hardware Price
$$2.8k
=
-
Cloud Price/hr
$0.390
=
-

Full Specifications

Specification L4 AMD Radeon RX 7900 XTX
Brand NVIDIA AMD
Series Data Center Consumer
Architecture Ada Lovelace RDNA 3
VRAM 24GB 24GB
VRAM Type GDDR6 GDDR6
Memory Bandwidth 300 GB/s 960 GB/s
FP16 TFLOPS 60.6 122.0
Tensor TFLOPS 242.0 -
TDP 72W 355W
Form Factor PCIe -
Hardware Price $$2.8k -
Cloud Price (min) $0.390/hr -

Which Should You Choose?

🧠

For AI Training

Large model training needs maximum VRAM and memory bandwidth.

Recommended: L4
24GB VRAM · 300 GB/s

For AI Inference

Inference prioritizes throughput and cost efficiency.

Recommended: L4
Best performance per dollar

L4 vs AMD Radeon RX 7900 XTX FAQ

It depends on your use case. The L4 offers 98% better performance (242.0 vs 122.0 TFLOPS). For raw performance, choose L4. For value, consider your budget and workload requirements.

The L4 has more VRAM with 24GB compared to 24GB (0% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.

For AI training, the L4 is generally better due to its larger VRAM (24GB). Large language models and deep learning workloads benefit significantly from more memory. However, if your models fit in 24GB, the cheaper option may be more cost-effective.

Price comparison requires both GPUs to have available pricing data. Check individual GPU pages for current market prices.

Upgrading to L4 would give you 98% more performance and 0% more VRAM. Consider if your workloads are bottlenecked by current GPU capabilities.