AMD Instinct Accelerators
AMD Instinct delivers industry-leading memory capacity for enterprise AI. MI300X offers 192GB HBM3 on CDNA 3, MI325X extends to 256GB HBM3E with optimized performance, and MI355X brings CDNA 4 architecture with 288GB HBM3E and 8TB/s bandwidth. The competitive alternative for large-scale AI training and inference.
Why AMD Instinct
Competitive performance with industry-leading memory capacity
AMD Instinct Lineup
Choose the right Instinct accelerator for your workload
Technical Specifications
Complete AMD Instinct technical details
| Specification | MI300X | MI325X | MI355X |
|---|---|---|---|
| Architecture | |||
| GPU Architecture | CDNA 3 | CDNA 3 | CDNA 4 |
| Process Node | TSMC 5nm / 6nm | TSMC 3nm | |
| Compute Units | 304 CUs | 256 CUs | |
| Stream Processors | 19,456 | 16,384 | |
| Memory | |||
| Memory Capacity | 192GB HBM3 | 256GB HBM3E | 288GB HBM3E |
| Memory Bandwidth | 5.3TB/s | 6TB/s | 8TB/s |
| Memory Bus Width | 8192-bit | ||
| L2 Cache | 256MB | TBD | |
| ECC Memory | Yes | ||
| Performance | |||
| FP64 | 81.7 TFLOPS | 81.7 TFLOPS | 78.6 TFLOPS |
| FP32 | 163.4 TFLOPS | 163.4 TFLOPS | 157.2 TFLOPS |
| FP16 | 1307 TFLOPS | 1307 TFLOPS | 5 PFLOPS |
| FP8 | 2614 TFLOPS | 2614 TFLOPS | 10.1 PFLOPS |
| FP6/FP4 | N/A | N/A | 20.1 PFLOPS |
| Connectivity | |||
| Infinity Fabric | 7 links @ 64GB/s (448GB/s) | Enhanced IF | |
| PCIe | PCIe 5.0 x16 | ||
| Form Factor | OAM | ||
| Power & Thermal | |||
| TDP | 750W | ~800W | 1400W |
| Cooling | Liquid Required | ||
| Software | |||
| Software Stack | ROCm 6.0+ | ||
| Framework Support | PyTorch, TensorFlow | ||
| Virtualization | SR-IOV | ||
Ideal Use Cases
AMD Instinct excels at memory-intensive AI workloads
Large Language Models
Industry-leading memory capacity (up to 288GB) enables running larger LLMs without model parallelism overhead.
AI Training
Massive memory bandwidth (up to 8TB/s) accelerates training of foundation models without memory bottlenecks.
High-Throughput Inference
MI355X's FP4 support delivers 20+ PFLOPS for efficient large-scale inference deployments.
Scientific Computing
Strong FP64 performance (~80 TFLOPS) for HPC workloads including climate simulation and physics.
Memory-Bound Workloads
8TB/s bandwidth eliminates memory bottlenecks for data-intensive analytics and graph processing.
Open Source AI
ROCm provides open-source software stack with native PyTorch and TensorFlow support for flexibility.
Architecture Comparison
How AMD Instinct compares to NVIDIA data center GPUs
MI355X vs B200
- Memory: 288GB vs 192GB
- Bandwidth: 8TB/s vs 8TB/s
- FP4: 20.1 PFLOPS vs 20 PFLOPS
- TDP: 1400W vs 1000W
- Ecosystem: ROCm vs CUDA
- Price: Often lower
MI300X vs H100
- Memory: 192GB vs 80GB (+140%)
- Bandwidth: 5.3TB/s vs 3.35TB/s (+58%)
- FP32: 163.4 vs 67 TFLOPS (+144%)
- TDP: 750W vs 700W
- Ecosystem: ROCm vs CUDA
- Price: $10-15K vs $35-40K
Frequently Asked Questions
What is the difference between MI300X, MI325X, and MI355X?
MI300X (CDNA 3): 192GB HBM3, 5.3TB/s bandwidth, 750W - the proven baseline. MI325X (CDNA 3): 256GB HBM3E, 6TB/s bandwidth with tuned performance. MI355X (CDNA 4): 288GB HBM3E, 8TB/s bandwidth, 1400W with new FP6/FP4 support delivering 20+ PFLOPS for AI inference.
How does AMD Instinct compare to NVIDIA?
AMD Instinct offers competitive or superior memory capacity (192-288GB) and bandwidth at often lower price points. NVIDIA has the more mature CUDA ecosystem while AMD uses ROCm with native PyTorch/TensorFlow support. For memory-intensive workloads, AMD often provides better value.
What software stack does AMD Instinct use?
AMD Instinct uses ROCm (Radeon Open Compute) software stack version 6.0+ with native support for PyTorch and TensorFlow. ROCm provides a CUDA-compatible programming model through HIP, though some CUDA code may require modifications for optimal performance.
When is MI355X available?
MI355X reached General Availability (GA) in October 2025. It's available through major OEM partners including Dell, HPE, Supermicro, Lenovo, and cloud providers like Oracle Cloud Infrastructure. Contact SLYD for current availability.
What cooling does AMD Instinct require?
All AMD Instinct accelerators require liquid cooling infrastructure. MI300X has 750W TDP, MI325X has 1000W TDP, and MI355X has 1400W peak board power. The OAM form factor is designed for high-performance server platforms with integrated liquid cooling.
Should I choose AMD Instinct or NVIDIA?
Choose AMD Instinct if you need maximum memory capacity, value competitive pricing, or prefer open-source software (ROCm). Choose NVIDIA if you need maximum CUDA ecosystem compatibility, specific NVIDIA features, or proven enterprise support. Both deliver excellent performance for AI workloads.
Deploy AMD Instinct
Get enterprise AMD Instinct systems through our OEM partnerships with expert configuration and deployment support.