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GPU comparison · CDNA 4 vs Hopper
AMD MI355X vs NVIDIA H200.
AMD CDNA 4 against NVIDIA Hopper. The MI355X has twice the memory (288 GB against 141 GB), 1.7× the bandwidth, about 2.5× the dense FP8 throughput and FP4, for less per month. The H200 runs the CUDA ecosystem unchanged.
- 288 vs 141 GBGPU memory
- 8 vs 4.8 TB/smemory bandwidth
- $1,409 vs $2,279per GPU, per month
MI355X vs H200: which one to rent.
Choose the MI355X if
- You serve large models or long contexts: 288 GB per GPU.
- Your frameworks support ROCm and you want the lower price: $1,409 against $2,279 a month.
- You need FP64 (78.6 TFLOPS vector) as well as AI throughput.
Choose the H200 if
- Your code relies on CUDA kernels, TensorRT-LLM or CUDA-only libraries.
- Your models fit in 141 GB and you want the most mature software support.
- You prefer a market price with many public references (our MI355X reference is indicative).
MI355X vs H200 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 H200 | H200 / MI355X |
|---|---|---|---|
| Architecture | CDNA 4 (gfx950), TSMC 3 nm and 6 nm | Hopper | — |
| Form factor | OAM module, liquid-cooled | SXM module | — |
| GPU memory | 288 GB HBM3E (8 stacks of 36 GB) | 141 GB HBM3e | 0.49× |
| Memory bandwidth | 8 TB/s | 4.8 TB/s | 0.6× |
| GPU-to-GPU link | Infinity Fabric, 7 links of 153.6 GB/s | NVLink 4, 900 GB/s per GPU | 0.84× |
| FP4 tensor (dense) | 10.1 PFLOPS | Not supported | — |
| FP8 tensor (dense) | 5,000 TFLOPS | 1,979 TFLOPS | 0.4× |
| FP16 / BF16 tensor (dense) | 2,500 TFLOPS | 989 TFLOPS | 0.4× |
| FP64 | 78.6 TFLOPS | 34 / 67 TFLOPS | 0.43× |
| Max power | 1,400 W | Up to 700 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 | 24 vCPU · 256 GB RAM · 3.84 TB | — |
Sources: AMD Instinct MI355X · ROCm MI350 series · NVIDIA H200. Full sheets: MI355X · H200
MI355X vs H200 rental price.
Our monthly prices, set 30% below the market median of public on-demand prices and paid in crypto. Hourly figures are the monthly price divided by 730 hours.
| CryptGPU | AMD MI355X | NVIDIA H200 | H200 / MI355X |
|---|---|---|---|
| Price per GPU, per month | $1,409 | $2,279 | 1.62× |
| Equivalent per GPU-hour | $1.93 | $3.12 | — |
| Per GB of GPU memory, per month | $4.89 | $16.16 | 3.3× |
| Per PFLOPS of dense FP8, per month | $282 | $1,152 | 4.1× |
| Largest server | 8× · $11,272/mo | 8× · $18,232/mo | — |
| Market median, per GPU | $2,022* | $3,259 | — |
| 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 H200 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 | H200 · FP8 | MI355X · 4-bit | H200 · 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× | 2× | 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× | — | 4× | 8× |
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 H200 FAQ.
More on each GPU: AMD MI355X · NVIDIA H200.
Is the MI355X faster than the H200?
On paper it has 1.7× the memory bandwidth and about 2.5× the dense FP8 throughput. Actual speed depends on how well your software is optimized for ROCm; we do not publish benchmarks.
Does vLLM run on the MI355X?
Yes: vLLM and SGLang ship ROCm builds for AMD Instinct GPUs, and PyTorch runs with its ROCm build.
What fits on one MI355X?
By our rule of thumb, a model of about 220B parameters in FP8, or a 405B model in 4-bit, on a single 288 GB GPU.
Other GPU comparisons.
Rent the MI355X or the H200.
Dedicated servers with 1 to 8 GPUs, one monthly price, paid in crypto. Online in under 10 minutes, no KYC.