AMD's next-gen CDNA 4 competitor to Nvidia Blackwell.
Weekly median price per GPU per hour · Get the data
By provider shows one card per company, placed where its best offer ranked. By configuration lists every offer.
What you can rent comes first: in stock, then waitlist, then not reported, then out of stock. Priced offers rank ahead of quote-only, and on-demand ahead of other billing types.
Within a group, five factors set the order:
We match the provider, its country, GPU model, form factor, billing type, availability and instance name. Matching is partial and case-insensitive. Everyday words work too, so "interruptible" finds spot and "sold out" finds out of stock.
No providers match .
Heads up: A provider's own page may quote a different figure, for example on tax, region or a promotion. A monthly-only plan shows a derived hourly rate. Verify before provisioning. More on how we price.
One MI355X has 288 GB of VRAM. In practice, that's enough memory for roughly 460B parameters at 4-bit or 125B at 16-bit, assuming a 32K context. Below are some open-weight LLMs, with the estimated memory and GPUs each one needs.
| Model | Memory (INT4 / FP4) | MI355Xs needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
Qwen3.8-27B
27B
|
18 GB
|
1
|
–
|
–
|
Gemma 4 31B
30.7B
|
22 GB
|
1
|
–
|
–
|
GPT-OSS-120B
117B · 5.1B active
|
67 GB
|
1
|
–
|
–
|
GLM-5.3-Flash
320B · 18B active
|
178 GB
|
1
|
–
|
–
|
MiniMax-M3
428B · 23B active
|
239 GB
|
1
|
–
|
–
|
DeepSeek V4.1 Flash
552B · 16B active
|
306 GB
|
8
|
–
|
–
|
Kimi K3
2.8T · 104B active
|
1,544 GB
|
8
|
–
|
–
|
Estimates based on the median on-demand rate. Memory is weights plus FP8 KV cache at 32K context per request (FP16/BF16 in the 16-bit column). GPU counts assume 90% of advertised VRAM is usable. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.
AMD MI355X · Per GPU
| Compute · dense | |
|---|---|
| FP4 | 10,066.3 TFLOPS |
| FP8 | 5,033.2 TFLOPS 10,066.4 with sparsity |
| FP16 / BF16 | 2,516.6 TFLOPS 5,033.2 with sparsity |
| INT8 | 5,033.2 TOPS 10,066.4 with sparsity |
| FP32 | 157.3 TFLOPS |
| FP64 | 78.6 TFLOPS |
| Precision support | FP4FP6FP8FP16BF16FP32FP64INT8 |
| Memory | |
|---|---|
| Capacity | 288 GB HBM3e |
| Bandwidth | 8,000 GB/s |
| Bus width | 8,192-bit |
| ECC | Yes |
| Silicon | |
|---|---|
| Architecture | CDNA 4 |
| Process | TSMC 3nm / 6nm FinFET |
| Transistors | 185 billion |
| Shader cores | 16,384 Stream processors |
| Matrix cores | 1,024 |
| Compute units | 256 |
| Fabric and host | |
|---|---|
| GPU interconnect | Infinity Fabric 1,075 GB/s |
| Host interface | PCIe 5.0 x16 |
| Power | |
|---|---|
| Board power | 1,400 W |
| Platform | |
|---|---|
| Partitioning | Up to 8 partitions |
Source: official AMD MI355X datasheet.
As of October 29, 2026, we track 15 configs from 6 providers. Prices are per GPU per hour.
| Billing type | Configs | Cheapest |
|---|---|---|
On-demand | 6 | $5.99 (not verified in stock, Daytona) |
Spot | 7 | $3.44 (not verified in stock, Daytona) |
No median for on-demand and spot: we only show this when at least 3 providers list the GPU on that billing type. 2 providers also quote the MI355X on a custom contract, priced per deal.
GetDeploying currently tracks MI355X configs from 6 providers. See the full price comparison above for every provider and config.
One MI355X runs models up to roughly 460B parameters at 4-bit quantization or 125B at 16-bit, assuming a 32K context. Larger models run across multiple GPUs: the model table above shows the estimated memory and GPU count for popular open-weight LLMs.
288GB HBM3e with FP4 support on CDNA 4 architecture. Next-generation AMD compute for both training and inference. Competitive with Nvidia Blackwell on memory capacity.
Latest generation with minimal cloud availability. ROCm software stack, while rapidly improving, may lag behind CUDA for some workloads. Evaluate software compatibility before committing.
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