AMD AMD MI300X
0
CUDA Cores
192GB
VRAM
5300
GB/s
Technical Specifications
0
CUDA Cores
2100
Base MHz
2100
Boost MHz
192GB HBM3
8192-bit bus
Performance
163.4
FP32 TFLOPS
1307.4
FP16 TFLOPS
750W
TDP
Cloud Availability
1
Available Instances
$14.80/hr
Starting Price
Detailed Specifications
| Architecture | CDNA 3 (Unknown) |
| Release Date | 2023-12-06 |
| Launch Price | $2,000.00 |
| Process | 5nm | 6nm FinFET |
| Transistors | 153B |
AI Features
Gen 3
Tensor Cores
Disabled
Transformer Engine
Not Supported
Flash Attention
Physical Specifications
Additional Specifications
Passive
Cooling
OAM Module
Form Factor
About AMD MI300X GPU
The AMD AMD MI300X was introduced in 2023 on the CDNA 3 architecture. Its specification combines its vendor-specific compute units with 192GB of HBM3, which defines both the workloads it can run and the batch sizes it can hold.
Based on its 192GB memory capacity, the AMD MI300X is best evaluated for large-model training, high-batch inference, and memory-intensive scientific computing. Always size the model, optimizer state, KV cache, and framework overhead together rather than choosing a GPU from core count alone.
GPUvec currently tracks 1 cloud listing for the AMD MI300X, with the lowest observed hourly rate at $14.80. Prices and availability can change by provider, region, and instance configuration, so verify the final rate before starting a workload.
For software planning, the AMD MI300X combines 5,300 GB/s of memory bandwidth, CUDA compute capability the latest, and a 5nm | 6nm FinFET manufacturing process. Confirm the minimum CUDA, PyTorch, TensorFlow, or driver version required by your application before renting or purchasing hardware.
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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 MI300X
Complete Specifications for the AMD MI300X
The AMD MI300X uses the CDNA 3 architecture and combines vendor-specific compute units with 192GB of HBM3. GPUvec records 5,300 GB/s memory bandwidth alongside architecture, release date, process node, accelerator features, and physical specifications so the page can be evaluated from source data instead of model-name assumptions.
Compare AMD MI300X Cloud Rental Prices per Hour
GPUvec currently tracks 1 cloud listing, with an observed starting rate of $14.80 per hour. Provider rates can vary by region, host configuration, billing model, and availability. Use the provider directory and related-GPU links to compare an available alternative when this exact accelerator is not listed.
Is the AMD MI300X the Right GPU for Your AI Workload?
Start with the 192GB memory limit, then evaluate 5,300 GB/s memory bandwidth, compute features, and software compatibility for your workload. Model weights, KV cache, activations, optimizer state, and framework overhead all consume memory. Compare this page with related accelerators rather than assuming that a higher core count alone guarantees a better training or inference result.
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.