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NVIDIA
Operating mode
Use this to bias workload recommendations toward responsiveness, background autonomy, lighter serving, or multi-GPU scale-out.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
The NVIDIA A2 is a compact, low-power Ampere inference GPU targeting edge servers and power-constrained deployments. It fits in a single PCIe slot at just 60W, making it suitable for standard servers without auxiliary power connectors. With 16 GB of GDDR6 and modest compute, it targets small model inference — 7B models at Q4 and specialized domain models under 10B parameters. It is the most affordable and accessible entry point in the NVIDIA datacenter Ampere lineup for on-prem deployments.
Beyond LLMs
What AI tasks this GPU can handle — from text generation to image and video creation.
| Capability | Status | Representative Model | Detail |
|---|---|---|---|
| LLM Chat (7B) | Runs natively | Llama 3.1 8B Q4 | — |
| LLM Coding (30B) | Won’t fit | Qwen 3 30B Q4 | — |
| LLM Large (70B) | Won’t fit | Llama 3.1 70B Q4 | — |
| Image Gen (SDXL) | Runs natively | SDXL 1.0 FP16 | ~~17.8s per image |
| Image Gen (Flux) | Won't fit | Flux.1 Dev FP16 | ~~1m 20s per image |
| Image Gen (SD 3.5) | Runs with sequential offload | SD 3.5 Large FP16 | ~~4m 24s per image |
| Video Short (25f) | Runs natively | LTX Video 2B | ~~15.4s/frame |
| Video Long (100f) | Won't fit | Wan Video 14B | ~~45.4s/frame |
Architecture
Ampere is NVIDIA's second-generation RTX architecture, built on Samsung's 8nm process. It introduced 3rd-generation Tensor Cores with support for sparsity-accelerated INT8 operations and improved FP16 throughput over Turing.
AI Relevance
Sparsity-aware Tensor Cores can effectively double throughput for structured sparse workloads. However, the lack of FP8 support means quantized inference is less efficient than Ada Lovelace or Blackwell.
Buying advice
Usable for local AI with limits
Can run 11 of 50 top models, mostly smaller ones. Larger models need heavy quantization or won't fit.
16.0 GB
VRAM
$1,500
MSRP
$94/GB
Cost per GB VRAM
Best models for this GPU
What will limit you first
This setup is broadly balanced for this model.
No major red flags
This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.
Best upgrade itinerary
Unlocks 2 additional models that do not fit on the current setup.
Want more headroom? MacBook Pro M3 24GB (24.0 GB unified memory) is the next step up.
Chat
SThis model is a direct match for chat. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.
Coding
SThis model is a direct match for coding. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.
Agentic Coding
SThis model is still usable for agentic-coding, but it is not the most specialized pick. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.
Reasoning
SThis model is a direct match for reasoning. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, ollama, lm-studio.
RAG
AThis model is a direct match for rag. It sits in the middle of the current model mix. It fits natively with comfortable headroom. Known channels: huggingface, ollama.
Just out of reach
High-quality models that need a bit more memory
Image & Video Generation
31 of 52 models can generate images or video on your NVIDIA A2 16GB
| Model | Max Resolution | Gen Time | Grade |
|---|---|---|---|
| SD TurboImage | 512×512 | ~2.2s | S |
| Stable Diffusion 1.5Image | 512×768 | ~4.4s | S |
| Realistic Vision v5.1Image | 512×768 | ~4.4s | S |
| DreamShaper 8Image | 512×768 | ~4.4s | S |
| LCM DreamShaper v7Image | 512×768 | ~1.3s | S |
| PixArt-SigmaImage | 1024×1024 | ~17.8s | S |
| FramePack I2VVideo | 256×256 | ~32.6s/frame | S |
| SDXL TurboImage | 512×512 | ~2.2s | S |
| SDXL LightningImage | 1024×1024 | ~6.7s | S |
| Stable Diffusion XL 1.0Image | 1024×1024 | ~17.8s | S |
| Playground v2.5Image | 1024×1024 | ~26.6s | S |
| RealVisXL v5.0Image | 1024×1024 | ~20s | S |
| DreamShaper XLImage | 1024×1024 | ~20s | S |
| Juggernaut XL v9Image | 1024×1024 | ~20s | S |
| Animagine XL 3.1Image | 1024×1024 | ~20s | S |
| Pony Diffusion V6 XLImage | 1024×1024 | ~20s | S |
| Animagine XL 4.0Image | 1024×1024 | ~20s | S |
| Illustrious XLImage | 1024×1024 | ~20s | S |
| Wan Video 2.1 1.3BVideo | 256×256 | ~13s/frame | S |
| Stable Diffusion 3.5 MediumImage | 256×256 | ~1m 33s | S |
| Flux.2 Klein 4BImage | 256×256 | ~12s | S |
| LTX Video 2BVideo | 256×256 | ~15.4s/frame | S |
| KolorsImage | 256×256 | ~1m 34s | A |
| Stable CascadeImage | 1024×1024 | ~44.4s | B |
| AuraFlow v0.3Image | 256×256 | ~2m 38s | B |
| Stable Diffusion 3.5 LargeImage | 256×256 | ~4m 24s | B |
| Stable Diffusion 3.5 Large TurboImage | 256×256 | ~47.9s | B |
| CogVideoX 2BVideo | 256×256 | ~15.4s/frame | D |
| HunyuanVideoVideo | 256×256 | ~32.6s/frame | D |
| ChromaImage | 256×256 | ~17.8s | D |
| Z-Image TurboImage | 256×256 | ~36.6s | D |
| Flux.1 DevImage | 256×256 | ~1m 20s | F |
| Flux.1 SchnellImage | 256×256 | ~15.5s | F |
| LTX Video 13BVideo | 256×256 | ~32.6s/frame | F |
| Flux.1 Kontext DevImage | 256×256 | ~1m 29s | F |
| AnimateDiff v1.5.3Video | 512×768 | ~8.1s/frame | F |
| Cosmos Diffusion 7BVideo | 256×256 | ~25.4s/frame | F |
| CogVideoX 5BVideo | 256×256 | ~22.2s/frame | F |
| Wan2.2 TI2V 5BVideo | 256×256 | ~22.2s/frame | F |
| Flux.2 Klein 9BImage | 256×256 | ~8.9s | F |
| Flux.1 Fill DevImage | 256×256 | ~1m 16s | F |
| Mochi 1 PreviewVideo | 256×256 | ~29.3s/frame | F |
| HunyuanVideo 1.5Video | 256×256 | ~27.2s/frame | F |
| Helios 14BVideo | 256×256 | ~33.6s/frame | F |
| SkyReels V2 14BVideo | 256×256 | ~33.6s/frame | F |
| Wan Video 2.1 14BVideo | 256×256 | ~33.6s/frame | F |
| Wan Video 2.2 14BVideo | 256×256 | ~33.6s/frame | F |
| Qwen ImageImage | 256×256 | ~29.9s | F |
| Qwen Image EditImage | 256×256 | ~29.9s | F |
| Flux.2 DevImage | 256×256 | ~14m 0s | F |
| MAGI-1Video | 256×256 | ~41.7s/frame | F |
| HunyuanImage 3.0Image | 256×256 | ~52.6s | F |
Image models estimated at 1024×1024 (28 steps, FP16). Video models estimated at 768×512 (25 frames, 30 steps, FP16). Actual performance varies with runtime and system load.
Upgrade paths
See what you unlock with more powerful hardware
Upgrade options
Unlocks 2 additional models that do not fit on the current setup.
~$1,099 MSRP
Unlocks 14 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 133%.
~$2,000 MSRP
Unlocks 36 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 34%.
~$599 MSRP
Unlocks 81 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 446%.
~$8,000 MSRP
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