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AI flagship · CDNA 4
AMD MI355X servers
AMD’s CDNA 4 accelerator: 288 GB of HBM3E at a fraction of NVIDIA flagship prices.
- 288 GBHBM3E per GPU
- 8 TB/smemory bandwidth
- Infinity FabricGPU interconnect
- 1–8 GPUsper server
Price per GPU · monthly
$1,409/mo
−30%Market median $2,022≈ $1.93 per GPU-hour
Below every on-demand list price we found
Server size
Deploy an MI355X serverOnline in under 10 min · no KYC · USD per server per month, prepaid · pay in BTC, ETH, USDT, XMR, LTC
Why rent the MI355X.
GPUCenter rents dedicated AMD MI355X servers with 1, 2, 4 or 8 GPUs at $1,409 per GPU per month (about $1.93 per GPU-hour), 30% below the market median, paid in Bitcoin, Ethereum, USDT, Monero or Litecoin with no KYC. The Instinct MI355X is AMD’s latest data-center GPU available to rent. It carries 288 GB of HBM3E at 8 TB/s, supports FP4, FP6 and FP8, and keeps strong FP64. Its public price is low because on-demand supply is limited and the software ecosystem is ROCm rather than CUDA: if your stack runs on ROCm, it is the most memory per dollar in our range.
- 288 GB HBM3E
Hold a 405B model in FP8 on two GPUs by our sizing rule.
- Most memory per dollar
About $4.89 per GB per month, against $13.95 for the B300.
- Strong FP64
Suited to scientific computing as well as AI.
MI355X server prices, 1 to 8 GPUs.
Same price per GPU at every size. vCPU, DDR5 RAM and NVMe scale with the number of GPUs.
| Server | GPU memory | vCPU | RAM | NVMe | Market median | GPUCenter | Action |
|---|---|---|---|---|---|---|---|
| 1× MI355X | 288 GB | 32 | 384 GB | 3.84 TB | $1,409/mo | Configure 1× MI355X | |
| 2× MI355XInfinity Fabric | 576 GB | 64 | 768 GB | 7.68 TB | $2,818/mo | Configure 2× MI355X | |
| 4× MI355XInfinity Fabric | 1,152 GB | 128 | 1,536 GB | 15.36 TB | $5,636/mo | Configure 4× MI355X | |
| 8× MI355XInfinity Fabric | 2,304 GB | 256 | 3,072 GB | 30.72 TB | $11,272/mo | Configure 8× MI355X |
AMD MI355X specifications.
Figures from AMD’s published specifications. Tensor figures are peak dense throughput unless marked otherwise.
GPU and memory
- Architecture
- CDNA 4 (gfx950), TSMC 3 nm and 6 nm
- Form factor
- OAM module, liquid-cooled
- GPU memory
- 288 GB HBM3E (8 stacks of 36 GB)
- Memory bandwidth
- 8 TB/s
- GPU-to-GPU link
- Infinity Fabric, 7 links of 153.6 GB/s
- Host link
- PCIe 5.0 x16
- Board power
- 1,400 W
- Partitioning
- 1, 2, 4 or 8 compute partitions
Matrix throughput (dense)
- FP4 / FP6
- 10.1 PFLOPS
- FP8
- 5 PFLOPS
- FP16 / BF16
- 2.5 PFLOPS
- INT8
- 5 POPS
- FP32
- 157.3 TFLOPS
- FP64
- 78.6 TFLOPS
Compute units
- Compute units
- 256
- Stream processors
- 16,384
- Matrix cores
- 1,024
Server, per GPU
- vCPU
- 32
- RAM
- 384 GB DDR5
- NVMe
- 3.84 TB
- GPUs per server
- 1, 2, 4, 8
AMD figures, dense. AMD lists no TF32 rate: ROCm emulates TF32 through BF16. Partitioning replaces NVIDIA’s Multi-Instance GPU on AMD Instinct.
Sources: AMD Instinct MI355X · ROCm MI350 series
Which models fit on MI355X servers.
Smallest server that holds each model, by precision. Rule of thumb with headroom for the KV cache; long contexts and large batches need more.
| Model (total parameters) | FP16 | FP8 | 4-bit |
|---|---|---|---|
| Qwen3.5-9B | 1× | 1× | 1× |
| Gemma 4 31B | 1× | 1× | 1× |
| Llama 3.3 70B | 1× | 1× | 1× |
| gpt-oss-120b | 2× | 1× | 1× |
| DeepSeek-V4-Flash | 4× | 2× | 1× |
| Qwen3.5-397B-A17B | 4× | 2× | 1× |
| DeepSeek-R1 (671B) | 8× | 4× | 2× |
| Kimi K2.6 (1T) | — | 8× | 4× |
Estimate: FP16 ≈ 2.4 bytes, FP8 ≈ 1.2 bytes and 4-bit ≈ 0.65 bytes per parameter, with 92% of GPU memory usable. — = does not fit in the largest MI355X server. Several recent models ship natively in FP8 or 4-bit formats; the columns show what each precision needs. Try the sizing helper for other models and for fine-tuning, or see every open model and its VRAM.
MI355X rental prices across the market.
Monthly price per GPU. Public on-demand list prices collected on 23 Sep 2026; hyperscalers shown for reference only.
Per GPU, 730 hours a month. No provider publishes an on-demand price for this GPU yet: its market reference is the median of the public prices we found. Hyperscalers (AWS, Google Cloud, Azure, Oracle) are excluded from the median. How we compare
MI355X vs similar GPUs.
- NVIDIA · Blackwell Ultra B300 New 288 GB HBM3e · 8 TB/s Same memory +$2,610/mo $4,019/mo per GPU
- NVIDIA · Hopper H200 141 GB HBM3e · 4.8 TB/s −147 GB +$870/mo $2,279/mo per GPU
- NVIDIA · Blackwell B200 180 GB HBM3e · 8 TB/s −108 GB +$2,030/mo $3,439/mo per GPU
Detailed comparisons: MI355X vs B300 · MI355X vs B200 · MI355X vs H200 · MI355X vs H100
From the blog: How to run DeepSeek-V4 on your own GPU server · Self-host an LLM: a private ChatGPT on your own GPU server · Best GPU for LLM inference in 2026: memory, bandwidth and price
MI355X rental FAQ.
More in the full FAQ.
How much does it cost to rent an MI355X per month?
At GPUCenter, the MI355X costs $1,409 per GPU per month, about $1.93 per GPU-hour over 730 hours and 30% below the market median of $2,022. A server with 8 GPUs costs $11,272 a month. The price is fixed for the paid month: no hourly metering, no setup fee.
Can I pay for an MI355X server with Bitcoin or Monero, without KYC?
Yes. Every GPUCenter server is paid in crypto: BTC, ETH, USDT, XMR or LTC (USDT on Tron or Ethereum). There is no KYC: no ID documents, no selfie. Your server is online in under 10 minutes once the payment is confirmed on-chain. Paying with crypto
Will my PyTorch code run on the MI355X?
Most PyTorch code runs unchanged with the ROCm build of PyTorch. Custom CUDA kernels need HIP ports; check the libraries you depend on.
Why is the MI355X so much cheaper than the B300?
Both have 288 GB, but the MI355X is priced from a much lower market: the public offers we found are starting prices far below B300 on-demand prices, and the ROCm software ecosystem is younger than CUDA. We price 30% below the median of those public prices.
Can I run vLLM on it?
Yes, vLLM and SGLang both provide ROCm builds for AMD Instinct GPUs.
Build your MI355X server.
Choose 1 to 8 GPUs and pay the first month in crypto. $1,409 per GPU, the same at every size.