Instinct MI210 Price & Used Prices: Which Local LLMs Can It Run?
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The Instinct MI210 is AMD's 2022 64GB data center card, the best-supported used AMD pick, running 30B-class at 8-bit. It's fanless; cooling is on you.
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Instinct MI210 price history
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Full Instinct MI210 specifications
- Memory64 GB · HBM2e
- Bandwidth1,638 GB/s
- FP16 / BF16181 TFLOPS
- INT8181 TOPS
- Bus width
- 4,096-bit
- Architecture
- CDNA 2 (Aldebaran)
- Cores
- 6,656
- Tensor cores
- 416
- Ecosystem
- ROCm
- Interface
- PCIe 4.0 x16
- Power
- 300 W
- Power connector
- 8-pin EPS
- Slots
- 2
- Length
- 267 mm
- Type
- Data center
- Launch date
- Mar 22, 2022
Best Instinct MI210 deals on eBay
Hand-picked deals from trusted eBay sellers. Shop with confidence.
As an eBay Partner, VRAMGlass may be compensated if you buy through the eBay links on this page. The price you pay stays the same.
UsedAMD INSTINCT MI210 64GB HBM2e PCIE GPU ACCELERATOR (102D6730500)$4,000Buy on eBay
UsedAMD Instinct MI210 64GB HBM2 PCIe 4.0x16 Professional Graphics Card Passive Cool$4,299Buy on eBay
UsedAMD 102D6730600 AMD INSTINCT MI210 64GB PCIE GPU ACCELERATOR *Read Description*$4,369Buy on eBay
UsedAMD 102D6730600 AMD INSTINCT MI210 64GB PCIE GPU ACCELERATOR (Read Description)$4,369Buy on eBay
UsedAMD Instinct MI210 64GB HBM2 PCIe 4.0 x16 Compute Accelerator Graphics Card$4,969Buy on eBay
UsedAMD Instinct MI210 64GB PCIe HBM2e GPU PCIe 4.0 x16 AI, HPC Graphics Accelerator$4,994Buy on eBay
What LLMs can a single Instinct MI210 run?
One MI210 runs up to 35B at 8-bit with full 256K context, Qwen3.8 27B at about 41 tokens/s. Its ceiling is 70B-class at 4-bit.
| Model | Size | Runs? | Speed t/s | Max context |
|---|---|---|---|---|
| 10.5 GB | Runs | 163.7 | 256K | |
| 11.8 GB | Runs | 90.9 | 256K | |
| 9.8 GB | Runs | 106.2 | 256K | |
| 11.9 GB | Runs | 171.8 | 198K | |
| 11.8 GB | Runs | 87.8 | 256K | |
| 12.3 GB | Runs | 179.1 | 256K |
| Model | Size | Runs? | Speed t/s | Max context |
|---|---|---|---|---|
| 16.9 GB | Runs | 145.4 | 256K | |
| 16.8 GB | Runs | 66.7 | 256K | |
| 16.5 GB | Runs | 67.8 | 256K | |
| 18.3 GB | Runs | 158 | 198K | |
| 18.3 GB | Runs | 60.4 | 256K | |
| 22.1 GB | Runs | 160.4 | 256K |
| Model | Size | Runs? | Speed t/s | Max context |
|---|---|---|---|---|
| 26.9 GB | Runs | 123.8 | 256K | |
| 28.6 GB | Runs | 41 | 256K | |
| 29 GB | Runs | 40.5 | 256K | |
| 31.8 GB | Runs | 135 | 198K | |
| 32.6 GB | Runs | 35.8 | 256K | |
| 36.9 GB | Runs | 138.6 | 256K |
RunsFits fully in VRAM; speed is estimated from VRAM bandwidth.
Needs RAM offloadMoE only: expert weights sit in system RAM, so speed is estimated from 70 GB/s RAM bandwidth.
Too bigWon’t fit on one card at this quantization, even with RAM offload.
Full calculation rules are on the Methodology page.
What LLMs can multiple Instinct MI210 cards run?
Two MI210s (128GB) run Qwen3.8 Flash Next at 4-bit at about 125 tokens/s; DeepSeek V4 Flash at 4-bit needs four. Infinity Fabric links up to four.
| Model | Size | Cards | Total price | Total VRAM | Speed t/s | Total power |
|---|---|---|---|---|---|---|
| 78.9 GB | 2 cards | $9,988 | 128 GB | 139.8 | 600 W | |
| 96.8 GB | 2 cards | $9,988 | 128 GB | 120.5 | 600 W | |
| 107.2 GB | 2 cards | $9,988 | 128 GB | 66.9 | 600 W | |
| 108.7 GB | 2 cards | $9,988 | 128 GB | 103 | 600 W | |
| 253.9 GB | 8 cards | $39,952 | 512 GB | 59.8 | 2,400 W | |
| 307.2 GBest. | 8 cards | $39,952 | 512 GB | 46.7 | 2,400 W | |
| 311.2 GB | 8 cards | $39,952 | 512 GB | 54.2 | 2,400 W | |
| 339.5 GB | 8 cards | $39,952 | 512 GB | 70.2 | 2,400 W | |
| 340.5 GB | 8 cards | $39,952 | 512 GB | 70.1 | 2,400 W |
| Model | Size | Cards | Total price | Total VRAM | Speed t/s | Total power |
|---|---|---|---|---|---|---|
| 111.3 GB | 2 cards | $9,988 | 128 GB | 124.5 | 600 W | |
| 155.1 GB | 4 cards | $19,976 | 256 GB | 95.9 | 1,200 W | |
| 182.2 GB | 4 cards | $19,976 | 256 GB | 52.1 | 1,200 W | |
| 199.7 GB | 4 cards | $19,976 | 256 GB | 72.5 | 1,200 W | |
| 467.3 GB | 8 cards | $39,952 | 512 GB | 38.7 | 2,400 W | |
| 467.3 GB | 8 cards | $39,952 | 512 GB | 33.9 | 2,400 W | |
| 510.3 GB | 8 cardsEngram in RAM | $39,952 | 512 GB | 64 | 2,400 W |
| Model | Size | Cards | Total price | Total VRAM | Speed t/s | Total power |
|---|---|---|---|---|---|---|
| 161.9 GB | 4 cards | $19,976 | 256 GB | 93.7 | 1,200 W | |
| 188.2 GB | 4 cards | $19,976 | 256 GB | 98.8 | 1,200 W | |
| 317.7 GB | 8 cards | $39,952 | 512 GB | 37.2 | 2,400 W | |
| 341 GB | 8 cards | $39,952 | 512 GB | 49.7 | 2,400 W |
Rows marked “Engram in RAM” need about 203 GB of extra system RAM. Full calculation rules are on the Methodology page.
Who it suits
Good fit
- Running 27B to 31B models at 8-bit on one card
Qwen3.8 27B at 8-bit runs at about 41 tokens/s with the full 256K of context
- You want vLLM
Its official documentation lists the MI200 series as supported, which is rare among used Instinct cards
- You want to run big MoE models on two cards
Two are enough for Qwen3.8 Flash Next at 4-bit, at about 125 tokens/s
Not a good fit
- Going into a regular desktop
It's passively cooled, so you have to build your own airflow
- You need FP8
This generation of chips doesn't support FP8
- You can't do without Windows
ROCm supports it only on Linux
Before you buy
Power is EPS 8-pin
The MI210 has a single 8-pin power connector, but it uses the EPS pinout for CPU power, not the PCIe 8-pin pinout graphics cards normally use, and no power cable comes with the card. With a desktop power supply, you can use a spare CPU 8-pin cable or an adapter clearly labeled “PCIe to EPS”. Check the pinout before plugging in, and don't force a graphics card's PCIe 8-pin cable into it.
Designed only for server airflow
The MI210 has no fan and is designed for strong front-to-back server airflow. One or two can make do in a tower case with a shroud and fans; if you plan to run four with Infinity Fabric bridges, we recommend going straight to a GPU server that supports passive cards.
The most complete software support among used Instinct cards
Compared with the MI50 and MI100, the MI210 has the fullest software support: it's on the ROCm 10.0 support list (Linux only: Ubuntu, RHEL, SLES), vLLM's official documentation lists the MI200 series, and AMD's own llama.cpp containers list the MI210 as a validated card. Two caveats: it's not on the list of chips validated for vLLM in the ROCm 10.0 compatibility table, so go by vLLM's own documentation on whether it works; and AWQ and GPTQ don't work on AMD cards, so pick original BF16 weights or GGUF.
Compared with similar GPUs
Instinct MI210 vs Instinct MI100, A100 40GB PCIe, and CMP 170HX 64GB: price, VRAM, bandwidth, compute and local LLM speed compared.
| Spec | Instinct MI210 | Instinct MI100 | ||
|---|---|---|---|---|
| Memory | 64 GB | 32 GB50% less | 40 GB38% less | 64 GBSame |
| Bandwidth | 1,638 GB/s | 1,229 GB/s25% lower | 1,555 GB/s5% lower | 1,493 GB/s9% lower |
| BF16 / FP16 compute | 181 TFLOPS | 92 TFLOPS49% lower | 312 TFLOPS72% higher | 202 TFLOPS12% higher |
| INT8 compute | 181 TOPS | 92 TOPS49% lower | 624 TOPS245% higher | 404 TOPS123% higher |
| Qwen3.8 27B speed (2-bit) | 106.2 t/s | 82.8 t/s22% slower | 101.6 t/s4% slower | 98.1 t/s8% slower |
| Largest dense model (4-bit) | 107B | 51B52% less | 65B39% less | 107BSame |
| Power | 300 W | 300 WSame | 250 W17% lower | 250 W17% lower |
| GPU interconnect | — | — | NVLink 600 GB/s | Not supported |
| Interface | PCIe 4.0 x16 | PCIe 4.0 x16 | PCIe 4.0 x16 | PCIe 2.0 x4 |
| Released | 2022-03 | 2020-11 | 2020-06 | 2021-06 |
| eBay median |
As an eBay Partner, VRAMGlass may be compensated if you buy through the eBay links on this page. The price you pay stays the same.