RTX PRO 6000 Blackwell Max-Q Workstation Edition: 96 GB, what it runs and what it costs
Specs checked · Rental prices from 18m ago · Aliteq Team · How we compute this
The short answer
The NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition has 96 GB of VRAM and 1792 GB/s of memory bandwidth (2025). At Q4_K_M quality or better with an 8K context it runs 40 of the open models we track; the largest that fits with room to spare is Qwen3.5 122B-A10B (MoE). The cheapest rental right now is $0.443/hr (Vast.ai, interruptible).
- VRAM
- 96 GB
- Bandwidth
- 1792 GB/s
- Board power
- 300 W
- Launched
- 2025
Source: NVIDIA specification · bandwidth not yet confirmed by a second source, so we don't estimate speed from it
Buy it or rent it
| Provider | Type | From, per hour | Rent |
|---|---|---|---|
| Vast.ai | Spot (can be interrupted) | $0.443/hr | Vast.ai |
| Vast.ai | On demand | $0.801/hr | Vast.ai |
| Lium | Spot (can be interrupted) | $1.500/hr | Lium |
| Lium | On demand | $1.590/hr | Lium |
| Runpod | On demand | $1.640/hr | Runpod |
Lowest price per provider in our hourly snapshot (18m ago). Rent buttons are referral links. Every card side by side: cloud GPU prices.
Which AI models run on the RTX PRO 6000 Blackwell Max-Q Workstation Edition
Computed by our VRAM engine for an 8K context: the best quality each model fits at in 96 GB. Speeds are upper-bound estimates from memory bandwidth, not benchmarks.
| Model | Best fit | VRAM used | ~tok/s |
|---|---|---|---|
| Qwen3.5 122B-A10B (MoE) | Q5_K_M | 84 GB87% | — |
| NVIDIA Nemotron 3 Super 120B-A12B (MoE) | Q6_K | 95 GB99% · tight | — |
| gpt-oss 120B (MoE) | Q6_K | 91 GB94% · tight | — |
| Llama 4 Scout 17B-16E (MoE) | Q6_K | 84 GB88% | — |
| GLM-4.5-Air (MoE) | Q6_K | 83 GB87% | — |
| Qwen3-Next 80B-A3B (MoE) | Q8_0 | 80 GB83% | — |
| Qwen3-Coder-Next 80B-A3B (MoE) | Q8_0 | 80 GB83% | — |
| DeepSeek R1 Distill 70B | Q8_0 | 73 GB76% | — |
| Mixtral 8x7B (MoE) | F16 | 89 GB92% · tight | — |
| Qwen3.6 35B-A3B (MoE) | F16 | 68 GB71% | — |
| Ornith-1.5 35B-A3B (MoE) | F16 | 68 GB71% | — |
| Qwen3.5 35B-A3B (MoE) | F16 | 68 GB71% | — |
Fits only below Q4 quality: Qwen3 235B-A22B (MoE) (Q2_K), MiniMax-M2.5 (MoE) (Q2_K), Qwen3.8-Flash-Next (MoE) (IQ4_XS).
Too big for 96 GB (rent a bigger card instead): what it costs to run MiniMax-M3 (MoE), what it costs to run GLM-5.3 (MoE), what it costs to run DeepSeek V4.1 Flash (MoE), what it costs to run DeepSeek V4 Pro (MoE).
Check a model and context of your own in the VRAM calculator.
AI video on the RTX PRO 6000 Blackwell Max-Q Workstation Edition
Alibaba's Wan 2.2 is an open video model you can run yourself in ComfyUI. With 96 GB the RTX PRO 6000 Blackwell Max-Q Workstation Edition fits:
- Wan 2.2 14B at 720p without offloading (80 GB and up, per Runpod's Wan 2.2 guide)
- Wan 2.2 14B in fp16, or in fp8 at 720p (48 GB and up, per Runpod's Wan 2.2 guide)
- Wan 2.2 14B at 640x640 with fp8 weights (24 GB and up, per Runpod's Wan 2.2 guide)
- Wan 2.2 5B, with ComfyUI's native offloading (8 GB and up, per ComfyUI's Wan 2.2 docs)
What each setup needs, the cheapest card to rent and what one clip costs: cloud GPUs for ComfyUI with Flux and Wan 2.2. Against an app or an API: AI video cost per clip, app vs API vs rented GPU. Rather not run a model yourself? Hosted video models such as Seedance, Veo and Hailuo are compared in Kling AI alternatives, priced per clip.
Cards to compare it with
- RTX PRO 6000 Blackwell Workstation Edition · 96 GB
- Apple M2 Max · 96 GB
- Apple M4 Max (16-core CPU / 40-core GPU) · 128 GB
- DGX Spark (GB10 Grace Blackwell) · 128 GB
- Apple M4 Pro · 64 GB
- AMD Ryzen AI Max+ 395 (Strix Halo,) · 128 GB
Every card by VRAM tier: all GPUs for gaming and local AI.