GPU comparison
MI355X vs B200: Specs, monthly price and which to rent
MI355X has 1.6× the memory of a B200 (288 vs 180 GB) at the same 8 TB/s, a little more dense FP8 (5.0 vs 4.5 PF) and FP4 (10.1 vs 9 PF), for about 45% less per month. The B200 has the faster GPU-to-GPU link (NVLink 5 at 1.8 TB/s against 1.08 TB/s) and runs every CUDA-only kernel and TensorRT-LLM. If your stack runs on ROCm, MI355X gives more memory and more compute per dollar.
- Updated Nov 4, 2026
- Specs: vendor datasheets, dense Tensor figures
- Prices: live CoreGPU catalog
| Spec | AMD Instinct MI355X | NVIDIA HGX B200 |
|---|---|---|
| Architecture | CDNA 4 | Blackwell |
| GPU memory | 288 GB HBM3E | 180 GB HBM3e |
| Memory bandwidth | 8 TB/s | 8 TB/s |
| FP8 dense | 5 PF | 4.5 PF |
| FP4 dense | 10.1 PF | 9 PF |
| Interconnect | Infinity Fabric · 1.08 TB/s | NVLink 5 · 1.8 TB/s |
| Power (TDP) | 1,400 W | 1,000 W |
| Price per GPU / month | $2,449 | $4,449 |
| Price per GB of memory | $8.50 | $24.72 |
| Price per FP8 PFLOPS | $490 | $989 |
| Availability | 21 available | Back Nov 20 |
Green marks the better value on each line. Prices are per GPU per month at CoreGPU, at least 25% below the market median.
- Large models and KV caches: 288 GB per GPU
- ROCm stacks: PyTorch, JAX, vLLM, SGLang
- Blackwell-class FP8 at a much lower monthly price
- CUDA-only kernels and TensorRT-LLM
- Tensor parallelism over NVLink 5 at 1.8 TB/s
- Teams standardised on NVIDIA tooling
MI355X vs B200: monthly price by server size
| Server | MI355X | B200 | Difference |
|---|---|---|---|
| 1 GPU | $2,449/mo | $4,449/mo | $2,000 less on the MI355X |
| 2 GPUs | $4,898/mo | $8,898/mo | $4,000 less on the MI355X |
| 4 GPUs | $9,796/mo | $17,796/mo | $8,000 less on the MI355X |
| 8 GPUs | $19,592/mo | $35,592/mo | $16,000 less on the MI355X |
Flat monthly price per GPU, the same at every server size. USD, taxes excluded.
Largest model that fits in GPU memory
| Weights | 1× MI355X | 1× B200 | 8× MI355X | 8× B200 |
|---|---|---|---|---|
| BF16 | 120B | 75B | 960B | 600B |
| FP8 | 240B | 150B | 1.9T | 1.2T |
| FP4 | 480B | 300B | 3.8T | 2.4T |
Parameters whose weights fit with 20% headroom for activations and runtime. Long contexts and large batches need more room for the KV cache: see how much GPU memory you need.
More GPU comparisons
MI355X vs B200: common questions
Already a customer? Open a ticket from the console: engineers reply within one business day.
How support worksIs the MI355X faster than the B200?
On dense FP8 Tensor throughput the MI355X is faster: 5 PF against 4.5 PF per GPU. Memory bandwidth is 8 TB/s on the MI355X and 8 TB/s on the B200, which matters most for LLM decoding.
How much does the MI355X cost per month compared with the B200?
At CoreGPU the MI355X is $2,449 and the B200 is $4,449 per GPU per month, so an 8-GPU server costs $19,592 or $35,592 a month. The MI355X is 45% cheaper per GPU. Both are at least 25% below the market median, billed monthly from a prepaid balance.
Which is better for LLM inference, the MI355X or the B200?
For large models and long contexts the MI355X has the edge with 288 GB of memory per GPU, so a model needs fewer GPUs. Choose the MI355X for large models and KV caches: 288 GB per GPU; the B200 for cUDA-only kernels and TensorRT-LLM.
Can I rent the MI355X and the B200 by the month?
Yes. Both are dedicated GPUs you rent by the month, from 1 to 8 per server, with root SSH access. Right now the MI355X is 21 available and the B200 is sold out, back Nov 20. You pay in BTC, ETH, XMR, USDT (TRC-20) or SOL.