Radeon Instinct MI210

Data Center GPU

CDNA 2.0 Radeon Instinct MI Series Data Center Server HBM2e 2021

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At a Glance

Entry Type: Data Center GPU
Architecture: CDNA 2.0
Series: Radeon Instinct MI Series
GPU Die: Aldebaran
Launch Date: 2021-12-01
Stream Processors: 6,656
TMUs: 416
Memory: 64 GB HBM2e
Bus Width: 4096-bit
TDP/TBP: 300 W
Rec. PSU: 700 W
Interface: PCIe 4.0 x16
Data Confidence: Partial

GPU Specs

What do these fields mean?Partial

Identity
Entry Type	Data Center GPU
Official Name	AMD Radeon Instinct MI210
Architecture	CDNA 2.0
Launch Date	2021-12-01
Core Specs
GPU Die	Aldebaran
Process Node	TSMC 6 nm
Transistor Count	58.2 billion
Die Size	724 mm²
Stream Processors	6656
TMUs	416
Base Clock	1,000 MHz
Boost Clock	1,700 MHz
Texture Fillrate	707.2 GT/s
FP32 Throughput	22.63 TFLOPS
FP16 Throughput	181 TFLOPS
FP64 Throughput	22.63 TFLOPS
Memory
Memory Size	64 GB
Memory Type	HBM2e
Memory Bus Width	4096-bit
Memory Clock	1,600 MHz
Memory Bandwidth	1640 GB/s
L2 Cache	16 MB
L1 Cache	16 KB
Board and Display
TDP / TBP	300 W
Recommended PSU	700 W
Interface	PCIe 4.0 x16
Slot Width	Dual-slot
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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