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Instinct MI210

CPU bottleneck check, compatible CPUs, and AI models it can run

AMD Instinct MI210 / AMD made / Instinct / Released 2021 Also known as: InstinctMI210

Performance Score
35,000
VRAM
64GB
Power Draw (TDP)
—
Manufacturer
AMD
Type
Server

AMD Instinct MI210 (AMD, released in 2021, also listed as InstinctMI210) is a graphics card with a performance score of 35,000 and 64GB of VRAM. If CPU compatibility and performance balance are poor, a CPU bottleneck occurs, preventing Instinct MI210 from reaching its full potential. In our estimate, the CPUs that pair best with Instinct MI210 are Intel: Core i9-14900KS (estimated bottleneck: about 12%), and AMD: Ryzen 9 9950X3D (about 11%). Below are the top 10 compatible CPUs, CPUs to avoid, and generative AI models supported by this amount of VRAM.

Top 10 CPUs Compatible with AMD Instinct MI210

CPUs are ordered by proximity to the ideal CPU:GPU ratio of 0.9:1. A lower bottleneck percentage means more of the GPU’s performance can be used.

1. Ryzen 9 9950X3D
67,000 pts
Bottleneck 11%
2. Ryzen 9 9900X3D
55,500 pts
Bottleneck 11%
3. Ryzen 7 9800X3D
37,000 pts
Bottleneck 11%
4. Ryzen 9 7900X3D
52,000 pts
Bottleneck 11%
5. Core i9-14900KS
62,000 pts
Bottleneck 12%
6. Ryzen 7 7800X3D
35,000 pts
Bottleneck 15%
7. Core i9-13900KS
60,000 pts
Bottleneck 17%
8. Core i9-14900K
60,000 pts
Bottleneck 17%
9. Core i9-14900KF
59,500 pts
Bottleneck 17%
10. Core i9-14900
55,000 pts
Bottleneck 18%
Check Compatibility with Your CPU →

The Bottleneck Checker opens with AMD Instinct MI210 already selected.

Instinct MI210 and CPU Compatibility | Where Does a CPU Bottleneck Begin?

Instinct MI210 (InstinctMI210) has a performance score of 35,000 points. Using the same CPU:GPU ≈ 0.9:1 standard as the checker, compatibility by CPU score is shown below.

Example CPUs to PairRatingWhat It Means
— Great Match: 10% or Less Optimal balance. Nearly all of Instinct MI210 performance can be used
Core i9-14900K、Core i9-14900KF、Core i9-14900 Acceptable: 10–25% Practical with no major issue. Consider a future upgrade if targeting high fps.
Core Ultra 5 245K、Core Ultra 5 245KF、Ryzen 5 7600 CPU Too Weak: Over 25% A clear CPU bottleneck. Much of the GPU performance is wasted
— CPU Overkill Almost no desktop CPUs match this category because this GPU is already top-tier.

Note: Perceived results vary by resolution and game (GPU matters more at 4K, while CPU matters more at high-fps Full HD). For an exact estimate, use the Bottleneck Checker.

AI Models That Run on AMD Instinct MI210 (VRAM 64GB)

Runs Comfortably: Meets recommended VRAM / Barely Runs: Meets minimum VRAM (lower quality or quantization may be needed)

Image generation

Comfortable
SD 1.5 (Q4 quantized)
Image generation
GGUF Q4_K_M, ultra-lightweight
Minimum 2GB / Recommended 4GB
Comfortable
Stable Diffusion 1.5
Image generation
Basic image generation
Minimum 4GB / Recommended 6GB
Comfortable
SDXL Turbo
Image generation
1-step real-time generation
Minimum 6GB / Recommended 8GB
Comfortable
SDXL Lightning
Image generation
Fast version, 2-8 steps
Minimum 6GB / Recommended 8GB
Comfortable
SDXL (Q4 quantized)
Image generation
GGUF Q4_K_M, low VRAM
Minimum 4GB / Recommended 6GB
Comfortable
SDXL (Q8 quantized)
Image generation
GGUF Q8_0, near full quality
Minimum 6GB / Recommended 8GB
Comfortable
Stable Diffusion XL
Image generation
High quality at 1024×1024
Minimum 8GB / Recommended 12GB
Comfortable
Pony Diffusion v6
Image generation
Specialized for anime and characters
Minimum 8GB / Recommended 12GB
Comfortable
Animagine XL
Image generation
Anime image generation
Minimum 8GB / Recommended 12GB
Comfortable
Flux.1 [schnell]
Image generation
4-step fast generation, commercial use allowed
Minimum 8GB / Recommended 12GB
Comfortable
Flux.1 [dev] (Q4)
Image generation
GGUF Q4, lighter weight
Minimum 8GB / Recommended 10GB
Comfortable
Flux.1 [dev] (Q5)
Image generation
GGUF Q5, balanced
Minimum 10GB / Recommended 12GB
Comfortable
Flux.1 [dev] (Q8)
Image generation
GGUF Q8, near full quality
Minimum 12GB / Recommended 16GB
Comfortable
Flux.1 [dev] FP16
Image generation
Full precision, highest quality
Minimum 16GB / Recommended 24GB
Comfortable
ControlNet + SDXL
Image generation
Pose, line art, and depth control
Minimum 10GB / Recommended 16GB
Comfortable
IP-Adapter SDXL
Image generation
Generate from a reference image
Minimum 8GB / Recommended 12GB
Comfortable
Real-ESRGAN x4
Image generation
Image upscaling (4x)
Minimum 4GB / Recommended 6GB
Comfortable
Stable Cascade
Image generation
Würstchen-based, fast
Minimum 12GB / Recommended 16GB
Comfortable
Kolors
Image generation
Made by Kuaishou, photorealistic
Minimum 12GB / Recommended 16GB
Comfortable
Illustrious XL v2.0
Image generation
By OnomaAI, anime-focused SDXL-based model with many derivatives
Minimum 8GB / Recommended 12GB
Comfortable
Stable Diffusion 3.5 Medium
Image generation
By Stability AI, 2.5B, strong at rendering text
Minimum 10GB / Recommended 12GB
Comfortable
FLUX.1 Krea [dev] (FP8)
Image generation
BFL x Krea, photorealistic derivative of Flux dev, 12B
Minimum 12GB / Recommended 16GB
Comfortable
FLUX.2 [klein] 4B
Image generation
BFL, January 2026, generation and editing in one model, under 1 second, Apache 2.0
Minimum 12GB / Recommended 16GB
Comfortable
Qwen-Image (GGUF Q4)
Image generation
Alibaba, 20B quantized, for 12GB cards
Minimum 12GB / Recommended 16GB
Comfortable
HiDream-I1 (GGUF Q4)
Image generation
HiDream.ai, 17B, quantized version, MIT
Minimum 12GB / Recommended 16GB
Comfortable
Stable Diffusion 3.5 Large
Image generation
By Stability AI, 8.1B, high quality at 1024px
Minimum 16GB / Recommended 24GB
Comfortable
Stable Diffusion 3.5 Large Turbo
Image generation
Distilled version of Large, fast with 4 steps
Minimum 16GB / Recommended 24GB
Comfortable
FLUX.1 Kontext [dev] (FP8)
Image generation
Black Forest Labs, text-instructed image editing, 12B
Minimum 16GB / Recommended 24GB
Comfortable
Qwen-Image-2.1 (FP8)
Image generation
Alibaba, September 2026, 7B model for generation and editing, 2K output, research license
Minimum 16GB / Recommended 24GB
Comfortable
Z-Image-Turbo
Image generation
Alibaba Tongyi, 6B, photorealistic in 8 steps, Apache 2.0
Minimum 16GB / Recommended 24GB
Comfortable
HiDream-I1 (FP8)
Image generation
HiDream.ai, 17B, high quality
Minimum 16GB / Recommended 24GB
Comfortable
FLUX.2 [klein] 9B (FP8)
Image generation
BFL, January 2026, high-quality version, non-commercial license
Minimum 20GB / Recommended 24GB
Comfortable
Qwen-Image (FP8)
Image generation
Alibaba, 20B, strong at rendering text in images, Apache 2.0
Minimum 20GB / Recommended 24GB
Comfortable
FLUX.2 [dev] (GGUF Q4)
Image generation
BFL, November 2025, 32B, highest quality, non-commercial license
Minimum 24GB / Recommended 32GB
Comfortable
FLUX.2 [dev] (GGUF Q5)
Image generation
Q5_K_M, higher quality than Q4, non-commercial license
Minimum 24GB / Recommended 32GB
Comfortable
FLUX.2 [dev] (GGUF Q8)
Image generation
Q8_0, near full quality, non-commercial license
Minimum 36GB / Recommended 48GB
Comfortable
FLUX.1 [dev] (GGUF Q4)
Image generation
Q4_K_S, runs even on 8GB cards, non-commercial license
Minimum 7GB / Recommended 12GB
Comfortable
FLUX.1 [dev] (GGUF Q8)
Image generation
Q8_0, near full quality, non-commercial license
Minimum 13GB / Recommended 20GB
Comfortable
Qwen-Image (GGUF Q8)
Image generation
Q8_0, near full quality, Apache 2.0
Minimum 22GB / Recommended 32GB
Comfortable
Qwen-Image-2.1-Turbo (FP8)
Image generation
Alibaba, Oct 2026, faster 8-step version of Qwen-Image-2.1
Minimum 16GB / Recommended 24GB

Video generation

Comfortable
Stable Video Diffusion
Video generation
Short video generation (4 seconds)
Minimum 12GB / Recommended 16GB
Comfortable
AnimateDiff (SD1.5)
Video generation
SD-based animation videos
Minimum 8GB / Recommended 12GB
Comfortable
AnimateDiff (SDXL)
Video generation
SDXL-based animation videos
Minimum 12GB / Recommended 20GB
Comfortable
CogVideoX-2B
Video generation
Open-source video generation
Minimum 12GB / Recommended 18GB
Comfortable
CogVideoX-5B
Video generation
High-quality video generation
Minimum 18GB / Recommended 24GB
Comfortable
HunyuanVideo (Q4)
Video generation
Tencent, quantized version
Minimum 16GB / Recommended 24GB
Comfortable
Mochi-1 (Genmo)
Video generation
Open-source video generation
Minimum 24GB / Recommended 40GB
Comfortable
LTX-Video
Video generation
Lightricks, fast video generation
Minimum 12GB / Recommended 16GB
Comfortable
Wan 2.1 14B
Video generation
Alibaba, high-quality 14B, 720p
Minimum 24GB / Recommended 40GB
Comfortable
Wan 2.1 T2V-1.3B
Video generation
Alibaba, official figure 8.19GB, short 480p videos
Minimum 8GB / Recommended 12GB
Comfortable
FramePack
Video generation
lllyasviel, 13B based on HunyuanVideo, memory use stays constant for long videos, uses a lot of system RAM
Minimum 8GB / Recommended 12GB
Comfortable
Wan 2.2 TI2V-5B
Video generation
Alibaba, 720p, runs in 8GB with ComfyUI automatic offloading, official script needs 24GB
Minimum 8GB / Recommended 16GB
Comfortable
HunyuanVideo 1.5
Video generation
Tencent, November 2025, 8.3B, official minimum 14GB with offloading
Minimum 16GB / Recommended 24GB
Comfortable
LTX-2.5 (FP8)
Video generation
Lightricks, August 2026, 22B, generates video and audio together
Minimum 16GB / Recommended 24GB
Comfortable
Wan 2.2 A14B (FP8)
Video generation
Alibaba, MoE with 14B active, T2V and I2V, high quality
Minimum 24GB / Recommended 32GB
△ Barely
HunyuanVideo full
Video generation
13B, highest quality video
Minimum 60GB / Recommended 80GB

Large language models (LLM)

Comfortable
Qwen 2.5 0.5B (Q4)
Large language models (LLM)
Lightest model, for embedded devices
Minimum 1GB / Recommended 2GB
Comfortable
Qwen 2.5 1.5B (Q4)
Large language models (LLM)
Ultra-lightweight, runs on phones
Minimum 2GB / Recommended 3GB
Comfortable
Phi-3 mini 3.8B (Q4)
Large language models (LLM)
Small, high-performance model by Microsoft
Minimum 3GB / Recommended 4GB
Comfortable
Gemma 3 4B (Q4)
Large language models (LLM)
Lightweight model by Google
Minimum 3GB / Recommended 4GB
Comfortable
Llama 3.2 3B (Q4)
Large language models (LLM)
Small mobile model by Meta
Minimum 3GB / Recommended 4GB
Comfortable
Llama 3.2 1B (Q4)
Large language models (LLM)
Smallest mobile model by Meta
Minimum 2GB / Recommended 3GB
Comfortable
Mistral 7B (Q2)
Large language models (LLM)
Extreme quantization, quality trade-off
Minimum 3GB / Recommended 4GB
Comfortable
Mistral 7B (Q4)
Large language models (LLM)
Efficient, recommended setting
Minimum 5GB / Recommended 6GB
Comfortable
Mistral 7B (Q5)
Large language models (LLM)
Balanced quantization
Minimum 6GB / Recommended 7GB
Comfortable
Mistral 7B (Q8)
Large language models (LLM)
High-quality quantization
Minimum 8GB / Recommended 10GB
Comfortable
Llama 3.1 8B (Q4)
Large language models (LLM)
Meta, standard for chat
Minimum 6GB / Recommended 8GB
Comfortable
Llama 3.1 8B (Q5)
Large language models (LLM)
Balanced quantization
Minimum 7GB / Recommended 9GB
Comfortable
Llama 3.1 8B (Q8)
Large language models (LLM)
Near full quality
Minimum 10GB / Recommended 12GB
Comfortable
Llama 3.1 8B (BF16)
Large language models (LLM)
Full precision
Minimum 16GB / Recommended 18GB
Comfortable
Qwen 2.5 7B (Q4)
Large language models (LLM)
Strong in Japanese, by Alibaba
Minimum 5GB / Recommended 7GB
Comfortable
Gemma 2 9B (Q4)
Large language models (LLM)
Mid-size model by Google
Minimum 6GB / Recommended 8GB
Comfortable
Phi-4 14B (Q4)
Large language models (LLM)
Compact, high-performance model by Microsoft
Minimum 9GB / Recommended 12GB
Comfortable
Qwen 2.5 14B (Q4)
Large language models (LLM)
Mid-size model by Alibaba
Minimum 9GB / Recommended 12GB
Comfortable
Qwen 2.5 32B (Q4)
Large language models (LLM)
Mid-scale, high performance
Minimum 19GB / Recommended 24GB
Comfortable
Llama 3.3 70B (Q2)
Large language models (LLM)
Extreme quantization, quality trade-off
Minimum 28GB / Recommended 32GB
Comfortable
Llama 3.3 70B (Q4)
Large language models (LLM)
GPT-4 class, large scale
Minimum 40GB / Recommended 48GB
Comfortable
Mixtral 8x7B (Q4)
Large language models (LLM)
MoE architecture, high performance
Minimum 24GB / Recommended 32GB
Comfortable
DeepSeek-R1 Distill 7B (Q4)
Large language models (LLM)
Specialized for reasoning, lightweight
Minimum 5GB / Recommended 7GB
Comfortable
DeepSeek-R1 Distill 32B (Q4)
Large language models (LLM)
Specialized for reasoning, mid-size
Minimum 19GB / Recommended 24GB
Comfortable
Command-R 35B (Q4)
Large language models (LLM)
By Cohere, specialized for RAG
Minimum 20GB / Recommended 24GB
Comfortable
Qwen 2.5 72B (Q4)
Large language models (LLM)
Among the strongest open models
Minimum 40GB / Recommended 48GB
Comfortable
ELYZA-Llama 8B (Q4)
Large language models (LLM)
Llama specialized for Japanese
Minimum 6GB / Recommended 8GB
Comfortable
Swallow 70B (Q4)
Large language models (LLM)
Enhanced for Japanese, Institute of Science Tokyo
Minimum 40GB / Recommended 48GB
Comfortable
LLaVA 1.6 7B (Q4)
Large language models (LLM)
Multimodal model for image understanding
Minimum 7GB / Recommended 9GB
Comfortable
Qwen2-VL 7B (Q4)
Large language models (LLM)
Video and image understanding
Minimum 7GB / Recommended 9GB
Comfortable
Qwen3 8B (Q4)
Large language models (LLM)
2025 generation, efficient 8B with switchable thinking mode
Minimum 5GB / Recommended 6GB
Comfortable
Qwen3 14B (Q4)
Large language models (LLM)
2025 generation, balanced 14B
Minimum 8GB / Recommended 10GB
Comfortable
Qwen3 30B-A3B (Q4)
Large language models (LLM)
MoE. 30B-class quality at 3B-class speed
Minimum 20GB / Recommended 24GB
Comfortable
Qwen3 32B (Q4)
Large language models (LLM)
Delivers Qwen2.5 72B-class performance at 32B
Minimum 19GB / Recommended 24GB
Comfortable
Qwen3.5 9B (Q4)
Large language models (LLM)
February 2026 version, 262K long context
Minimum 6GB / Recommended 8GB
Comfortable
Qwen3.5 27B (Q4)
Large language models (LLM)
February 2026 version, dense 27B
Minimum 18GB / Recommended 24GB
Comfortable
Qwen3.5 35B-A3B (Q4)
Large language models (LLM)
February 2026, MoE with 35B total and 3B active, 262K long context
Minimum 22GB / Recommended 24GB
Comfortable
Qwen3.6 27B (Q4)
Large language models (LLM)
April 2026, dense 27B. Among the strongest for coding, 1M context
Minimum 18GB / Recommended 24GB
Comfortable
Qwen3.6 35B-A3B (Q4)
Large language models (LLM)
April 2026, latest MoE with 35B total and 3B active. Specialized for agents and coding
Minimum 22GB / Recommended 24GB
Comfortable
Gemma 3 12B (Q4)
Large language models (LLM)
Google Gemma 3, mid-size, accepts image input
Minimum 7GB / Recommended 9GB
Comfortable
Gemma 3 27B (Q4)
Large language models (LLM)
Google Gemma 3, largest 27B model, multimodal
Minimum 18GB / Recommended 24GB
Comfortable
Gemma 4 E2B (Q4)
Large language models (LLM)
Google, April 2026, smallest phone-class model, accepts image and audio input
Minimum 4GB / Recommended 6GB
Comfortable
Qwen3.5 2B (Q4)
Large language models (LLM)
Alibaba, 2026, small multimodal model with thinking mode
Minimum 4GB / Recommended 6GB
Comfortable
Gemma 4 E4B (Q4)
Large language models (LLM)
Google, April 2026, lightweight multimodal, Apache 2.0
Minimum 6GB / Recommended 8GB
Comfortable
Qwen3.5 4B (Q4)
Large language models (LLM)
Alibaba, 2026, high performance for 4B class, 262K context
Minimum 6GB / Recommended 8GB
Comfortable
Gemma 4 12B (Q4)
Large language models (LLM)
Google, added June 2026, mid-size model for image and audio
Minimum 8GB / Recommended 10GB
Comfortable
Ministral 3 14B (Q4)
Large language models (LLM)
Mistral, December 2025, 14B, a reasoning version is also available
Minimum 10GB / Recommended 12GB
Comfortable
Ministral 3 8B (FP8)
Large language models (LLM)
Mistral, December 2025, supports Japanese and image input, official FP8 needs 12GB
Minimum 12GB / Recommended 16GB
Comfortable
gpt-oss-20b (MXFP4)
Large language models (LLM)
OpenAI's first open model, MoE with 21B total and 3.6B active, official quantization that runs in 16GB, Apache 2.0
Minimum 16GB / Recommended 20GB
Comfortable
GPT-OSS Swallow 20B (MXFP4)
Large language models (LLM)
Institute of Science Tokyo and AIST, Japanese-enhanced gpt-oss-20b, Apache 2.0
Minimum 16GB / Recommended 20GB
Comfortable
Mistral Small 3.2 24B (Q4)
Large language models (LLM)
Mistral, general-purpose 24B with image input, Apache 2.0
Minimum 16GB / Recommended 24GB
Comfortable
Devstral Small 2 24B (Q4)
Large language models (LLM)
Mistral, specialized for coding agents, runs on one RTX 4090
Minimum 16GB / Recommended 24GB
Comfortable
Gemma 4 26B A4B (Q4)
Large language models (LLM)
Google, MoE with 26B total and 4B active, focused on speed
Minimum 18GB / Recommended 24GB
Comfortable
Qwen3.8 27B (Q4)
Large language models (LLM)
Alibaba, August 2026, dense 27B that reads images and video, Apache 2.0
Minimum 18GB / Recommended 24GB
Comfortable
Qwen3 Swallow 8B (BF16)
Large language models (LLM)
Institute of Science Tokyo and AIST, Japanese-enhanced Qwen3, vLLM recommended
Minimum 18GB / Recommended 24GB
Comfortable
Gemma 4 31B (Q4)
Large language models (LLM)
Google Gemma 4's largest dense model. Memory grows with long text due to the KV cache
Minimum 20GB / Recommended 24GB
Comfortable
GLM-4.7-Flash (Q4)
Large language models (LLM)
Z.ai, MoE 30B with about 3B active, local coding
Minimum 20GB / Recommended 24GB
Comfortable
Muse Glimmer 30B (Q4)
Large language models (LLM)
Meta, August 2026, 30B for agents, accepts image input, Apache 2.0
Minimum 24GB / Recommended 32GB
Comfortable
Nemotron 3 Nano 30B-A3B (Q4)
Large language models (LLM)
NVIDIA, MoE with Mamba hybrid layers, 1M context
Minimum 24GB / Recommended 32GB
Comfortable
llm-jp-4.1 8B thinking (Q4)
Large language models (LLM)
LLM-jp, Sep 2026, Japanese reasoning model, 8B, Apache 2.0
Minimum 7GB / Recommended 10GB
Comfortable
llm-jp-4.1 33B thinking (Q4)
Large language models (LLM)
LLM-jp, Sep 2026, Japanese reasoning model, 33B, Apache 2.0
Minimum 22GB / Recommended 24GB
Comfortable
llm-jp-4.1 32B-A3B thinking (Q4)
Large language models (LLM)
LLM-jp, Sep 2026, Japanese reasoning MoE with 32B total and 3B active, Apache 2.0
Minimum 24GB / Recommended 32GB
Comfortable
ELYZA-Thinking-1.0 33B (Q4)
Large language models (LLM)
ELYZA, Oct 2026, Japanese reasoning model built on llm-jp-4, Apache 2.0
Minimum 22GB / Recommended 24GB
Comfortable
ELYZA-Thinking-1.0 32B-A3B (Q4)
Large language models (LLM)
ELYZA, Oct 2026, Japanese reasoning MoE with 32B total and 3B active, Apache 2.0
Minimum 23GB / Recommended 32GB
Comfortable
llm-jp-4 VL 9B (Q4)
Large language models (LLM)
LLM-jp, Aug 2026, Japanese 9B that can read images, Apache 2.0
Minimum 7GB / Recommended 10GB
Comfortable
MiniCPM5 2B (Q4)
Large language models (LLM)
OpenBMB, Sep 2026, small 2.5B model with long context and tool calling, Apache 2.0
Minimum 4GB / Recommended 6GB
Comfortable
Qwen3.8 27B (Q3)
Large language models (LLM)
UD-Q3_K_XL, for running on 16GB cards
Minimum 15GB / Recommended 20GB
Comfortable
Qwen3.8 27B (Q6)
Large language models (LLM)
UD-Q6_K, higher quality than Q4
Minimum 24GB / Recommended 32GB
Comfortable
Qwen3.8 27B (Q8)
Large language models (LLM)
Near full quality
Minimum 31GB / Recommended 48GB
Comfortable
Qwen3.6 35B-A3B (Q3)
Large language models (LLM)
UD-Q3_K_M, for 20GB cards
Minimum 19GB / Recommended 20GB
Comfortable
Qwen3.6 35B-A3B (Q8)
Large language models (LLM)
Near full quality
Minimum 39GB / Recommended 48GB
Comfortable
Qwen3.6 27B (Q3)
Large language models (LLM)
For running on 16GB cards
Minimum 16GB / Recommended 20GB
Comfortable
Qwen3.6 27B (Q8)
Large language models (LLM)
Near full quality
Minimum 31GB / Recommended 32GB
Comfortable
Qwen3.5 9B (Q8)
Large language models (LLM)
Near full quality
Minimum 12GB / Recommended 16GB
Comfortable
Qwen3.5 9B (BF16)
Large language models (LLM)
Full precision
Minimum 20GB / Recommended 24GB
Comfortable
Gemma 4 31B (Q3)
Large language models (LLM)
For running on 16-20GB cards
Minimum 17GB / Recommended 20GB
Comfortable
Gemma 4 31B (Q8)
Large language models (LLM)
Near full quality
Minimum 35GB / Recommended 48GB
Comfortable
Gemma 4 26B A4B (Q3)
Large language models (LLM)
UD-Q3_K_M, for 16GB cards
Minimum 15GB / Recommended 16GB
Comfortable
Gemma 4 26B A4B (Q8)
Large language models (LLM)
Near full quality
Minimum 29GB / Recommended 32GB
Comfortable
Gemma 4 12B (Q8)
Large language models (LLM)
Near full quality
Minimum 15GB / Recommended 16GB
Comfortable
Gemma 4 12B (BF16)
Large language models (LLM)
Full precision
Minimum 26GB / Recommended 32GB
Comfortable
Gemma 4 E4B (Q8)
Large language models (LLM)
Near full quality
Minimum 10GB / Recommended 12GB
Comfortable
Gemma 4 E4B (BF16)
Large language models (LLM)
Full precision
Minimum 17GB / Recommended 20GB
Comfortable
Mistral Small 3.2 24B (Q3)
Large language models (LLM)
For running on 12-16GB cards
Minimum 13GB / Recommended 16GB
Comfortable
Mistral Small 3.2 24B (Q8)
Large language models (LLM)
Near full quality
Minimum 27GB / Recommended 32GB
Comfortable
GLM-4.7-Flash (Q3)
Large language models (LLM)
For running on 16-20GB cards
Minimum 17GB / Recommended 20GB
Comfortable
GLM-4.7-Flash (Q8)
Large language models (LLM)
Near full quality
Minimum 34GB / Recommended 48GB
Comfortable
Qwen3 8B (Q8)
Large language models (LLM)
Near full quality
Minimum 11GB / Recommended 12GB
Comfortable
Qwen3 8B (BF16)
Large language models (LLM)
Full precision
Minimum 18GB / Recommended 20GB
Comfortable
Llama 3.3 70B (Q3)
Large language models (LLM)
Better quality than Q2, for 48GB
Minimum 36GB / Recommended 48GB
Comfortable
Llama 3.3 70B (Q5)
Large language models (LLM)
Balanced quantization
Minimum 52GB / Recommended 64GB
△ Barely
Command-R+ 104B (Q4)
Large language models (LLM)
Cohere's most capable model, commercial use
Minimum 60GB / Recommended 80GB

Speech and music

Comfortable
Whisper Tiny
Speech and music
Ultra-lightweight speech recognition
Minimum 1GB / Recommended 2GB
Comfortable
Whisper Small
Speech and music
Lightweight speech recognition
Minimum 2GB / Recommended 3GB
Comfortable
Whisper Medium
Speech and music
Standard speech recognition
Minimum 5GB / Recommended 6GB
Comfortable
Whisper Large v3
Speech and music
High-accuracy speech recognition
Minimum 10GB / Recommended 12GB
Comfortable
Whisper Turbo
Speech and music
Large-level accuracy, fast
Minimum 6GB / Recommended 8GB
Comfortable
XTTS v2 (voice cloning)
Speech and music
Voice-cloning TTS
Minimum 4GB / Recommended 6GB
Comfortable
RVC (real-time voice conversion)
Speech and music
Voice conversion for streaming
Minimum 4GB / Recommended 8GB
Comfortable
Bark TTS
Speech and music
Multilingual TTS with emotional expression, 8GB for the small model
Minimum 8GB / Recommended 12GB
Comfortable
MusicGen Medium
Speech and music
Meta, music generation
Minimum 6GB / Recommended 8GB
Comfortable
MusicGen Large
Speech and music
High-quality music generation
Minimum 10GB / Recommended 14GB
Comfortable
AudioCraft / AudioGen
Speech and music
Sound effect generation
Minimum 6GB / Recommended 10GB
Comfortable
Stable Audio Open
Speech and music
By Stability AI, music
Minimum 8GB / Recommended 12GB
Comfortable
Whisper Base
Speech and music
OpenAI, 74M, lightweight speech recognition
Minimum 1GB / Recommended 2GB
Comfortable
Kokoro-82M
Speech and music
82M ultra-lightweight TTS, multilingual including Japanese, practical on CPU
Minimum 1GB / Recommended 2GB
Comfortable
Parakeet TDT 0.6B v3
Speech and music
NVIDIA, 25 European languages, no Japanese support, very fast
Minimum 2GB / Recommended 4GB
Comfortable
Parakeet TDT-CTC 0.6B ja
Speech and music
NVIDIA, Japanese only, with punctuation, runs on NeMo
Minimum 2GB / Recommended 4GB
Comfortable
Style-Bert-VITS2 (JP-Extra)
Speech and music
A standard Japanese TTS, with emotion style control. Inference works on CPU, training needs 8GB or more
Minimum 2GB / Recommended 4GB
Comfortable
faster-whisper large-v3 (INT8)
Speech and music
Whisper on CTranslate2, faster and lighter on memory than the original
Minimum 3GB / Recommended 4GB
Comfortable
kotoba-whisper v2.2
Speech and music
Kotoba Technologies, specialized for Japanese, about 6x faster than large-v3, with speaker separation and punctuation
Minimum 4GB / Recommended 6GB
Comfortable
Qwen3-ASR 0.6B
Speech and music
Alibaba, lightweight, for high-volume processing
Minimum 4GB / Recommended 6GB
Comfortable
GPT-SoVITS v2Pro
Speech and music
Clones a voice from 1 minute of audio, supports Japanese
Minimum 4GB / Recommended 6GB
Comfortable
Qwen3-TTS 0.6B
Speech and music
Alibaba, lightweight TTS, supports streaming
Minimum 4GB / Recommended 6GB
Comfortable
Irodori-TTS v4.1 Small
Speech and music
Japanese-only TTS, voice cloning, speaking style set with emoji, MIT
Minimum 4GB / Recommended 6GB
Comfortable
faster-whisper large-v3 (FP16)
Speech and music
Whisper on CTranslate2, same accuracy at higher speed
Minimum 5GB / Recommended 6GB
Comfortable
Qwen3-ASR 1.7B
Speech and music
Alibaba, January 2026, 30 languages including Japanese, among the best open speech recognition
Minimum 6GB / Recommended 8GB
Comfortable
F5-TTS v1
Speech and music
Zero-shot voice cloning TTS from reference audio
Minimum 6GB / Recommended 8GB
Comfortable
Qwen3-TTS 1.7B
Speech and music
Alibaba, January 2026, 10 languages including Japanese, voice design and cloning
Minimum 6GB / Recommended 8GB
Comfortable
Chatterbox Multilingual
Speech and music
Resemble AI, 23 languages including Japanese, voice cloning, MIT
Minimum 6GB / Recommended 8GB
Comfortable
ACE-Step 1.5
Speech and music
April 2026, generates songs with vocals, 2B model, MIT
Minimum 6GB / Recommended 12GB
Comfortable
ACE-Step 1.5 XL
Speech and music
Higher-quality version. Under 20GB needs CPU offloading and quantization
Minimum 12GB / Recommended 24GB
Comfortable
Voxtral Mini 4B Realtime
Speech and music
Mistral, February 2026, real-time transcription, supports Japanese
Minimum 16GB / Recommended 24GB
Comfortable
Voxtral 4B TTS
Speech and music
Mistral, March 2026, voice cloning, no Japanese support, non-commercial license
Minimum 16GB / Recommended 24GB
Comfortable
YuE2-3B
Speech and music
m-a-p, Sep 2026, generates songs with vocals, about 11GB peak on an RTX 4090, non-commercial license
Minimum 12GB / Recommended 16GB
Comfortable
MiniMax-Music3
Speech and music
MiniMax, Aug 2026, music generation, under 24GB at full precision (about 22GB with CPU offload), custom license
Minimum 22GB / Recommended 24GB
Comfortable
MiniMax-Music3 (int8)
Speech and music
Community int8 version, VRAM is an estimate
Minimum 14GB / Recommended 16GB
Comfortable
VibeVoice-ASR-Streaming 1.5B
Speech and music
Microsoft, Sep 2026, streaming speech recognition, MIT
Minimum 8GB / Recommended 10GB
Comfortable
VibeVoice-ASR-Streaming 7B
Speech and music
Microsoft, Sep 2026, higher-accuracy streaming speech recognition, MIT
Minimum 19GB / Recommended 24GB
Comfortable
VibeVoice-ASR-Streaming 7B (Q8)
Speech and music
GGUF Q8, runs with audio-cpp
Minimum 12GB / Recommended 16GB
Comfortable
Granite Speech 5.0 470M
Speech and music
IBM, Aug 2026, lightweight 470M speech recognition, Apache 2.0
Minimum 3GB / Recommended 4GB

AI training and fine-tuning

Comfortable
LoRA training (SD1.5)
AI training and fine-tuning
Training characters and styles
Minimum 6GB / Recommended 8GB
Comfortable
LoRA training (SDXL)
AI training and fine-tuning
LoRA for SDXL
Minimum 12GB / Recommended 16GB
Comfortable
DreamBooth (SDXL)
AI training and fine-tuning
Full fine-tuning
Minimum 16GB / Recommended 24GB
Comfortable
Flux LoRA training
AI training and fine-tuning
LoRA for Flux, high quality
Minimum 16GB / Recommended 24GB
Comfortable
Llama LoRA (7B)
AI training and fine-tuning
Lightweight LLM fine-tuning
Minimum 12GB / Recommended 16GB
Comfortable
Llama QLoRA (70B)
AI training and fine-tuning
4-bit training, value when using Unsloth
Minimum 41GB / Recommended 48GB
Comfortable
gpt-oss-20b QLoRA training (Unsloth)
AI training and fine-tuning
Value when using Unsloth; the standard method needs 65GB or more
Minimum 14GB / Recommended 16GB
Models That Cannot Run (9)

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Other GPUs in the Same Series

AMD Instinct MI300X AMD Instinct MI250X AMD Instinct MI100 AMD Radeon Pro W7900 AMD Radeon Pro W7800 AMD Radeon Pro W6800 AMD Radeon Pro W6600 Radeon RX 9070 XT Radeon RX 9070 Radeon RX 9060 XT Radeon RX 7900 XTX Radeon RX 7900 XT

→ All GPUs / → Bottleneck Checker (Both Directions)

GPUs Commonly Compared with Instinct MI210

Instinct MI210 vs RX 7900 XTX Instinct MI210 vs RX 9070 XT Instinct MI210 vs RX 7900 XT Instinct MI210 vs RX 9070 Instinct MI210 vs RX 7900 GRE Instinct MI210 vs RX 6950 XT

→ Compare Other Models / → Check Whether an Upgrade Is Worthwhile

Frequently Asked Questions About CPU Bottlenecks and Compatibility for Instinct MI210

Which CPU minimizes the CPU bottleneck for Instinct MI210（InstinctMI210）?

In our estimate, the best-balanced options are Core i9-14900KS for Intel (estimated bottleneck: about 12%) and Ryzen 9 9950X3D for AMD (about 11%). A CPU-to-GPU performance ratio near 0.9:1 tends to use both parts effectively. See the top 10 compatible CPUs in the table on this page.

Which CPUs pair poorly with Instinct MI210 and should be avoided?

As a guide, CPUs such as Core Ultra 5 245K、Core Ultra 5 245KF、Ryzen 5 7600、Core i5-14600 push the bottleneck above 25% and waste much of the AMD Instinct MI210 performance.

How much VRAM does AMD Instinct MI210 have, and which generative AI models can it run?

AMD Instinct MI210 has 64GB of VRAM. It can comfortably run about 192 models, including Stable Diffusion and LLMs (for example, SD 1.5 (Q4 quantized), Stable Diffusion 1.5, SDXL Turbo).

What is the power draw (TDP) of AMD Instinct MI210?

AMD Instinct MI210 is an integrated GPU, so standalone power draw (TDP) is not published. Its consumption is included in the CPU’s total TDP.

Can AMD Instinct MI210 be used for both gaming and generative AI?

Its performance score is 35,000 points. CPU balance matters for gaming, while VRAM (64GB) matters for generative AI. Use the top 10 CPU list and AI model list above to check your use case.