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GPU comparison · CDNA 4 vs Blackwell
AMD MI355X vs NVIDIA B200.
AMD CDNA 4 against NVIDIA Blackwell. The MI355X has 1.6× the memory (288 GB against 180 GB of HBM3E), the same 8 TB/s of bandwidth, about 11% more dense FP8 throughput and twice the FP64. The B200 has NVLink 5 at 1.8 TB/s per GPU and the CUDA ecosystem. The MI355X costs $2,030 less per GPU per month; our MI355X market reference is indicative.
- 288 vs 180 GBGPU memory
- 8 TB/s eachmemory bandwidth
- $1,409 vs $3,439per GPU, per month
MI355X vs B200: which one to rent.
Choose the MI355X if
- Your model needs more memory per GPU: one MI355X holds about 220B parameters in FP8, against about 138B on a B200.
- You run FP64 scientific code: 78.6 TFLOPS against 37 on the B200.
- Your software runs on ROCm and you want the lower price: $1,409 per GPU against $3,439 a month.
Choose the B200 if
- Your stack depends on CUDA: custom kernels, TensorRT-LLM or libraries without ROCm builds.
- You train across 8 GPUs: NVLink 5 moves 1.8 TB/s per GPU, against 1.07 TB/s for AMD Infinity Fabric.
- Your models fit in 180 GB per GPU and you want the most mature software support.
MI355X vs B200 specs, side by side.
Figures from NVIDIA’s and AMD’s published specifications, per GPU. Tensor figures are peak dense throughput.
| Per GPU | AMD MI355X | NVIDIA B200 | B200 / MI355X |
|---|---|---|---|
| Architecture | CDNA 4 (gfx950), TSMC 3 nm and 6 nm | Blackwell, TSMC 4NP | — |
| Form factor | OAM module, liquid-cooled | SXM module (HGX B200) | — |
| GPU memory | 288 GB HBM3E (8 stacks of 36 GB) | 180 GB HBM3e | 0.63× |
| Memory bandwidth | 8 TB/s | Up to 8 TB/s | Same |
| GPU-to-GPU link | Infinity Fabric, 7 links of 153.6 GB/s | NVLink 5, 1.8 TB/s per GPU | 1.67× |
| FP4 tensor (dense) | 10.1 PFLOPS | 9.0 PFLOPS | 0.89× |
| FP8 tensor (dense) | 5,000 TFLOPS | 4,500 TFLOPS | 0.9× |
| FP16 / BF16 tensor (dense) | 2,500 TFLOPS | 2,250 TFLOPS | 0.9× |
| FP64 | 78.6 TFLOPS | 37 TFLOPS | 0.47× |
| Max power | 1,400 W | Up to 1,000 W, configurable | — |
| GPUs per server | 1, 2, 4, 8 | 1, 2, 4, 8 | — |
| Per GPU in our servers | 32 vCPU · 384 GB RAM · 3.84 TB | 28 vCPU · 288 GB RAM · 3.84 TB | — |
Sources: AMD Instinct MI355X · ROCm MI350 series · NVIDIA HGX · NVIDIA DGX B200. Full sheets: MI355X · B200
MI355X vs B200 rental price.
At CryptGPU, the MI355X rents for $1,409 and the B200 for $3,439 per GPU per month, 30% below the market median of public on-demand prices, paid in crypto with no KYC. Hourly figures are the monthly price divided by 730 hours.
| CryptGPU | AMD MI355X | NVIDIA B200 | B200 / MI355X |
|---|---|---|---|
| Price per GPU, per month | $1,409 | $3,439 | 2.4× |
| Equivalent per GPU-hour | $1.93 | $4.71 | — |
| Per GB of GPU memory, per month | $4.89 | $19.11 | 3.9× |
| Per PFLOPS of dense FP8, per month | $282 | $764 | 2.7× |
| Largest server | 8× · $11,272/mo | 8× · $27,512/mo | — |
| Market median, per GPU | $2,022* | $4,920 | — |
| Below the median | −30% | −30% | — |
* Indicative market reference: no provider publishes an on-demand price for this GPU yet. Same price per GPU at every server size, no hourly metering. How we compare prices · Configure an MI355X server · Configure a B200 server
Which models fit on each.
Smallest server that holds each model, by precision. Rule of thumb with headroom for the KV cache, 92% of GPU memory usable.
| Model (total parameters) | MI355X · FP8 | B200 · FP8 | MI355X · 4-bit | B200 · 4-bit |
|---|---|---|---|---|
| Qwen3.5-9B | 1× | 1× | 1× | 1× |
| Gemma 4 31B | 1× | 1× | 1× | 1× |
| Llama 3.3 70B | 1× | 1× | 1× | 1× |
| gpt-oss-120b | 1× | 1× | 1× | 1× |
| DeepSeek-V4-Flash | 2× | 4× | 1× | 2× |
| Qwen3.5-397B-A17B | 2× | 4× | 1× | 2× |
| DeepSeek-R1 (671B) | 4× | 8× | 2× | 4× |
| Kimi K2.6 (1T) | 8× | 8× | 4× | 4× |
FP8 ≈ 1.2 bytes and 4-bit ≈ 0.65 bytes per parameter. — = larger than the biggest server of that GPU. Size another model · How much VRAM does an LLM need?
MI355X vs B200 FAQ.
More on each GPU: AMD MI355X · NVIDIA B200.
Is the MI355X faster than the B200?
On paper it has about 11% more dense FP8 and 12% more dense FP4 throughput, the same 8 TB/s of memory bandwidth and 1.6× the memory. Actual speed depends on how well your software is optimized for ROCm; we do not publish benchmarks.
Why does the MI355X cost so much less than the B200?
We price both 30% below their own market median, and the markets differ: public MI355X offers start far below B200 on-demand prices, and ROCm software is younger than CUDA. Our MI355X reference is indicative, as no provider published an on-demand price when we checked.
What fits in an 8-GPU server?
2,304 GB on 8× MI355X against 1,440 GB on 8× B200. By our rule of thumb, a 1T-parameter model in FP8 (about 1,200 GB) fits on either; a 671B model in BF16 (about 1,610 GB) fits only on the MI355X server.
Other GPU comparisons.
Rent the MI355X or the B200.
Dedicated servers with 1 to 8 GPUs, one monthly price, paid in crypto. Online in under 10 minutes, no KYC.