Radeon Instinct MI300

Data Center GPU

CDNA 3.0 Radeon Instinct MI Series Data Center Server HBM3 2023

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At a Glance

Entry Type: Data Center GPU
Architecture: CDNA 3.0
Series: Radeon Instinct MI Series
GPU Die: Aqua Vanjaram
Launch Date: 2023-01-04
Stream Processors: 14,080
TMUs: 880
Memory: 128 GB HBM3
Bus Width: 8192-bit
TDP/TBP: 600 W
Rec. PSU: 1000 W
Interface: PCIe 5.0 x16
Data Confidence: Partial

GPU Specs

What do these fields mean?Partial

Identity
Entry Type	Data Center GPU
Official Name	AMD Radeon Instinct MI300
Architecture	CDNA 3.0
Launch Date	2023-01-04
Core Specs
GPU Die	Aqua Vanjaram
Chip Variant / Package	MCM
Process Node	TSMC 5 nm
Transistor Count	153 billion
Die Size	1017 mm²
Stream Processors	14080
TMUs	880
Base Clock	1,000 MHz
Boost Clock	1,700 MHz
Texture Fillrate	1496 GT/s
FP32 Throughput	47.87 TFLOPS
FP16 Throughput	383 TFLOPS
FP64 Throughput	47.87 TFLOPS
Memory
Memory Size	128 GB
Memory Type	HBM3
Memory Bus Width	8192-bit
Memory Clock	1,600 MHz
Memory Bandwidth	6550 GB/s
L2 Cache	16 MB
L1 Cache	16 KB
Board and Display
TDP / TBP	600 W
Recommended PSU	1000 W
Interface	PCIe 5.0 x16
Card Length	267 mm
Software
OpenCL Support	OpenCL 3.0

This GPU Wiki entry is being expanded and source-checked.

Why It Mattered

This entry is currently a specification record. Historical notes will be added after source review.

Known Issues

Known issues pending source review.

SourcesPartial

Sources reviewed: 2026-06-23

This entry is still being source-checked.

Data confidence and source status

Partial entry. Core specifications may be present, but history, variant notes, known issues, and source review may be incomplete.

Verified: core specifications and historical notes have been reviewed against listed sources.
Partial: core specifications may be present, but history, variant notes, known issues, and source review may be incomplete.
Imported: spec-only imported entry pending editorial source review.
Needs source review: narrative notes are incomplete until reviewed.

Independent reference sources

TechPowerUp GPU SpecsOpen source

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