A40 vs AMD Radeon RX 7900 XTX

Detailed comparison of specifications, performance, and pricing between NVIDIA A40 and AMD Radeon RX 7900 XTX

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Overall Winner
A40
Wins 3 of 7 categories
Performance Leader
A40
150.0 TFLOPS (+23%)
The A40 is 23% faster.

Difference Analysis

Metric
A40
Difference
AMD Radeon RX 7900 XTX
Tensor TFLOPS
150.0
+23%
122.0
VRAM
48GB
+100%
24GB
Memory Bandwidth
696 GB/s
-38%
960 GB/s
Hardware Price
$$4.0k
=
-
Cloud Price/hr
$0.400
=
-

Full Specifications

Specification A40 AMD Radeon RX 7900 XTX
Brand NVIDIA AMD
Series Data Center Consumer
Architecture Ampere RDNA 3
VRAM 48GB 24GB
VRAM Type GDDR6 GDDR6
Memory Bandwidth 696 GB/s 960 GB/s
FP16 TFLOPS 74.8 122.0
Tensor TFLOPS 150.0 -
TDP 300W 355W
Form Factor PCIe -
Hardware Price $$4.0k -
Cloud Price (min) $0.400/hr -

Which Should You Choose?

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For AI Training

Large model training needs maximum VRAM and memory bandwidth.

Recommended: A40
48GB VRAM · 696 GB/s

For AI Inference

Inference prioritizes throughput and cost efficiency.

Recommended: A40
Best performance per dollar

A40 vs AMD Radeon RX 7900 XTX FAQ

It depends on your use case. The A40 offers 23% better performance (150.0 vs 122.0 TFLOPS). For raw performance, choose A40. For value, consider your budget and workload requirements.

The A40 has more VRAM with 48GB compared to 24GB (100% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.

For AI training, the A40 is generally better due to its larger VRAM (48GB). 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 A40 would give you 23% more performance and 100% more VRAM. Consider if your workloads are bottlenecked by current GPU capabilities.