MI355X vs B200 SXM6

Detailed comparison of specifications, performance, and pricing between AMD Instinct MI355X and B200 SXM6

🏆
Overall Winner
MI355X
Wins 4 of 7 categories
Performance Leader
MI355X
- TFLOPS (+0%)

Difference Analysis

Metric
MI355X
Difference
B200 SXM6
Tensor TFLOPS
-
=
-
VRAM
288GB
+60%
180GB
Memory Bandwidth
8.0 TB/s
=
-
Hardware Price
$$25k
=
-
Cloud Price/hr
-
=
$4.99

Full Specifications

Specification MI355X B200 SXM6
Brand AMD NVIDIA
Series Data Center -
Architecture CDNA4 -
VRAM 288GB 180GB
VRAM Type HBM3e -
Memory Bandwidth 8.0 TB/s -
FP16 TFLOPS - -
Tensor TFLOPS - -
TDP 500W -
Form Factor OAM -
Hardware Price $$25k -
Cloud Price (min) - $4.99/hr

Which Should You Choose?

🧠

For AI Training

Large model training needs maximum VRAM and memory bandwidth.

Recommended: MI355X
288GB VRAM · 8.0 TB/s

For AI Inference

Inference prioritizes throughput and cost efficiency.

Recommended: MI355X
Best performance per dollar

MI355X vs B200 SXM6 FAQ

It depends on your use case. The MI355X offers 0% better performance (- vs - TFLOPS). For raw performance, choose MI355X. For value, consider your budget and workload requirements.

The MI355X has more VRAM with 288GB compared to 180GB (60% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.

For AI training, the MI355X is generally better due to its larger VRAM (288GB). Large language models and deep learning workloads benefit significantly from more memory. However, if your models fit in 180GB, 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 MI355X would give you 0% more performance and 60% more VRAM. Consider if your workloads are bottlenecked by current GPU capabilities.