AMD AMD MI355X

0

CUDA Cores

288GB

VRAM

8000

GB/s

Data Center
Updated April 21, 2026 • 2026 Edition
AMD MI355X GPU Specifications

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 supports the latest CUDA compute capabilities 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:

NVIDIA CUDA Documentation →

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

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

Compare GPU specifications and cloud instances to find the best GPU for your workload.