AMD AMD MI355X
0
CUDA Cores
288GB
VRAM
8000
GB/s
Technical Specifications
0
CUDA Cores
2400
Base MHz
2400
Boost MHz
288GB HBM3E
8192-bit bus
Performance
157.3
FP32 TFLOPS
2500
FP16 TFLOPS
1400W
TDP
Cloud Availability
1
Available Instances
$20.72/hr
Starting Price
Detailed Specifications
| Architecture | CDNA 4 (Unknown) |
| Release Date | 2025-06-12 |
| Launch Price | $2,000.00 |
| Process | 3nm | 6nm FinFET |
| Transistors | 185B |
AI Features
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
Physical Specifications
Additional Specifications
Passive & Active
Cooling
OAM Module
Form Factor
About AMD MI355X GPU
The AMD AMD MI355X is a powerful GPU designed for AI/ML workloads, offering exceptional performance for both training and inference tasks. With 288GB of VRAM and 0 CUDA cores, it provides the memory capacity and computational power needed for modern deep learning models.
Released in 2025, the AMD MI355X features CDNA 4 architecture with advanced AI accelerators including Tensor Cores and Transformer Engine support. This makes it ideal for large language models, computer vision tasks, and generative AI applications.
When considering cloud rental options for the AMD MI355X, pricing starts at $20.72/hour from various providers. This GPU offers excellent price-to-performance for AI training workloads, with its high memory bandwidth of 8000 GB/s enabling fast data transfer for large datasets.
The AMD MI355X features CUDA compute capability the latest and is compatible with all major deep learning frameworks including PyTorch, TensorFlow, and JAX. Its 3nm | 6nm FinFET manufacturing process ensures efficient power consumption relative to performance output.
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External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
What You Need to Know About the AMD MI355X
Complete Specifications for the AMD AMD MI355X
Get detailed technical specifications for the AMD AMD MI355X including VRAM capacity of , CUDA core count, Tensor Core count, memory bandwidth, and CUDA compute capability of . This GPU is designed for demanding AI training, inference, and high-performance computing workloads. Understanding these specifications helps you determine whether it is the right fit for PyTorch, TensorFlow, or custom CUDA-based applications.
Compare AMD AMD MI355X Cloud Rental Prices per Hour
Find the best cloud rental prices for the AMD AMD MI355X across providers like RunPod, Vast.ai, Lambda Labs, and CoreWeave. GPUvec aggregates real-time pricing data so you can compare costs per hour, find available instances, and choose the most cost-effective provider. GPU cloud pricing for this model varies by region and instance type, so comparing multiple options can save significantly on compute costs.
Is the AMD AMD MI355X the Right GPU for Your AI Workload?
Learn whether the AMD AMD MI355X is the right choice for your specific AI and ML workloads. We cover use cases including large language model training, fine-tuning, inference serving, computer vision, scientific computing, and rendering. Compare its specifications and pricing against other GPUs like the H100, A100, and RTX 5090 to make an informed decision for your infrastructure needs.
Top GPUs for Training and Inference
| Category | Rank 1 | Rank 2 | Rank 3 |
|---|---|---|---|
| Best for Training | NVIDIA H200 | NVIDIA H100 | NVIDIA B200 |
| Best for Inference | NVIDIA A40 | NVIDIA A100 | NVIDIA A10 |
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