 |
VOOZH | about |
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 B100 is a Blackwell datacenter GPU designed as a drop-in upgrade for existing HGX H100 infrastructure, targeting 192 GB of HBM3e at 8,000 GB/s bandwidth and 1,750 TFLOPS FP16. As a lower-power Blackwell variant at 700W, it fits within the same thermal envelope as existing H100 SXM racks while delivering substantially more VRAM and higher compute. Note: as of early 2025, NVIDIA has reportedly scaled back B100 production in favor of B200 and GB200 allocations, making availability limited. If it ships, it would be the most VRAM-accessible Blackwell GPU at the 8-GPU HGX level.
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) | Runs natively | Qwen 3 30B Q4 | — |
| LLM Large (70B) | Runs natively | Llama 3.1 70B Q4 | — |
| Image Gen (SDXL) | Runs natively | SDXL 1.0 FP16 | ~200ms per image |
| Image Gen (Flux) | Runs natively | Flux.1 Dev FP16 | ~800ms per image |
| Image Gen (SD 3.5) | Runs natively | SD 3.5 Large FP16 | ~900ms per image |
| Video Short (25f) | Runs natively | LTX Video 2B | ~100ms/frame |
| Video Long (100f) | Runs natively | Wan Video 14B | ~400ms/frame |
Architecture
Blackwell is NVIDIA's fifth-generation RTX architecture, built on TSMC's 4NP process. It introduces 5th-generation Tensor Cores with native FP4 precision support, enabling double the inference throughput per watt compared to Ada Lovelace's FP8 operations. Key innovations include the Neural Rendering Pipeline for AI-driven shading and the debut of GDDR7 memory in consumer GPUs.
AI Relevance
FP4 Tensor Cores deliver the highest tokens-per-watt efficiency in any consumer architecture. Native FP4 quantization means models can run at lower precision with minimal quality loss, effectively doubling the effective VRAM for model weights.
Buying advice
Excellent choice for local AI
Runs 40 of 50 top models well — a strong all-rounder for local inference.
192.0 GB
VRAM
$35,000
MSRP
$182/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 4 additional models that do not fit on the current setup.
Want more headroom? AMD Instinct MI325X 256GB (256.0 GB VRAM) 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, 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, 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, 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, lm-studio.
RAG
SThis model is a direct match for rag. It belongs to a current frontier family for local AI. It fits natively with comfortable headroom. Known channels: huggingface, lm-studio.
Just out of reach
High-quality models that need a bit more memory
Image & Video Generation
52 of 52 models can generate images or video on your B100 192GB
| Model | Max Resolution | Gen Time | Grade |
|---|---|---|---|
| SD TurboImage | 512×512 | 0ms | S |
| Stable Diffusion 1.5Image | 512×768 | 0ms | S |
| Realistic Vision v5.1Image | 512×768 | 0ms | S |
| DreamShaper 8Image | 512×768 | 0ms | S |
| LCM DreamShaper v7Image | 512×768 | 0ms | S |
| PixArt-SigmaImage | 1024×1024 | 200ms | S |
| FramePack I2VVideo | 1280×720 | 300ms/frame | S |
| SDXL TurboImage | 512×512 | 0ms | S |
| SDXL LightningImage | 1024×1024 | 100ms | S |
| Stable Diffusion XL 1.0Image | 1024×1024 | 200ms | S |
| Playground v2.5Image | 1024×1024 | 300ms | S |
| RealVisXL v5.0Image | 1024×1024 | 200ms | S |
| DreamShaper XLImage | 1024×1024 | 200ms | S |
| Juggernaut XL v9Image | 1024×1024 | 200ms | S |
| Animagine XL 3.1Image | 1024×1024 | 200ms | S |
| Pony Diffusion V6 XLImage | 1024×1024 | 200ms | S |
| Animagine XL 4.0Image | 1024×1024 | 200ms | S |
| Illustrious XLImage | 1024×1024 | 200ms | S |
| Wan Video 2.1 1.3BVideo | 480×832 | 100ms/frame | S |
| Stable Diffusion 3.5 MediumImage | 1024×1024 | 300ms | S |
| Flux.2 Klein 4BImage | 1024×1024 | 100ms | S |
| LTX Video 2BVideo | 1280×720 | 100ms/frame | S |
| KolorsImage | 1024×1024 | 300ms | S |
| Stable CascadeImage | 1024×1024 | 400ms | S |
| AuraFlow v0.3Image | 1536×1536 | 800ms | S |
| Stable Diffusion 3.5 LargeImage | 1024×1024 | 900ms | S |
| Stable Diffusion 3.5 Large TurboImage | 1024×1024 | 200ms | S |
| CogVideoX 2BVideo | 720×480 | 100ms/frame | S |
| HunyuanVideoVideo | 720×1280 | 300ms/frame | S |
| ChromaImage | 1024×1024 | 200ms | S |
| Z-Image TurboImage | 1536×1536 | 200ms | S |
| Flux.1 DevImage | 1024×1024 | 800ms | S |
| Flux.1 SchnellImage | 1024×1024 | 100ms | S |
| LTX Video 13BVideo | 1280×720 | 300ms/frame | S |
| Flux.1 Kontext DevImage | 1024×1024 | 800ms | S |
| AnimateDiff v1.5.3Video | 512×768 | 100ms/frame | S |
| Cosmos Diffusion 7BVideo | 1024×576 | 200ms/frame | S |
| CogVideoX 5BVideo | 720×480 | 200ms/frame | S |
| Wan2.2 TI2V 5BVideo | 832×480 | 200ms/frame | S |
| Flux.2 Klein 9BImage | 1024×1024 | 100ms | S |
| Flux.1 Fill DevImage | 1024×1024 | 700ms | S |
| Mochi 1 PreviewVideo | 848×480 | 300ms/frame | S |
| HunyuanVideo 1.5Video | 720×1280 | 300ms/frame | S |
| Helios 14BVideo | 1280×720 | 300ms/frame | S |
| SkyReels V2 14BVideo | 1280×720 | 300ms/frame | S |
| Wan Video 2.1 14BVideo | 720×1280 | 300ms/frame | S |
| Wan Video 2.2 14BVideo | 720×1280 | 300ms/frame | S |
| Qwen ImageImage | 1024×1024 | 300ms | S |
| Qwen Image EditImage | 1024×1024 | 300ms | S |
| Flux.2 DevImage | 1024×1024 | ~8s | S |
| MAGI-1Video | 1280×720 | 400ms/frame | S |
| HunyuanImage 3.0Image | 1024×1024 | 500ms | B |
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.
Multi-GPU scaling
Scale out with multiple GPUs for larger models. NVLink provides 1800 GB/s inter-GPU bandwidth with 7% overhead.
| Config | Effective memory | Models that fit | Est. bandwidth |
|---|---|---|---|
| 1× B100 | 192 GB | 359/374 | 8,000 GB/s |
| 2× B100 | 384 GB | 366/374 | 14,880 GB/s |
| 4× B100 | 768 GB | 373/374 | 29,760 GB/s |
| 8× B100 | 1536 GB | 374/374 | 59,520 GB/s |
Model counts use default quantization at coding workload settings. Multi-GPU scaling factor: 0.93× per additional GPU.
Upgrade paths
See what you unlock with more powerful hardware
Upgrade options
Unlocks 15 additional models that do not fit on the current setup.
Lifts average decode speed across fitting models by about 171%.
NVLink gives this scale-out path a cleaner inter-GPU story than PCIe-only builds.
~$35,000 MSRP
Unlocks 4 additional models that do not fit on the current setup.
~$20,000 MSRP
Unlocks 5 additional models that do not fit on the current setup.
~$8,000 MSRP
Compare with similar
