NVIDIA RTX PRO 6000 Blackwell (Workstation Edition)
Small teams needing large single-card memory for mid-size open-source models without full datacenter infrastructure.
96 GB
GPU Memory vs. tier max
600 W
Power vs. tier max
$11,636
Price vs. tier max
| The dedicated memory built into the graphics card. An AI model's entire set of "weights" (its learned parameters) must fit into this memory before the card can run it. If a model needs more VRAM than one card has, you need multiple cards working together, or a card with more memory. | 96 GB |
|---|---|
| Thermal Design Power — roughly how many watts the card draws under full load. Higher-performance cards need more electricity and generate more heat, which affects your electricity bill and cooling needs. | 600 W |
| Approximate cost to acquire the hardware. For consumer cards this is usually a fixed retail price. For datacenter-class hardware, list prices are rarely published — buyers negotiate directly with NVIDIA or its partners, so we show a typical range or say "contact for pricing" rather than inventing a number. |
$11,636
No fixed NVIDIA MSRP; reseller quotes $8,565-$14,708 (pricing has risen since 2025 launch)
|
Why this matters
A card or server needs at least as much
The dedicated memory built into the graphics card. An AI model's entire set of "weights" (its learned parameters) must fit into this memory before the card can run it. If a model needs more VRAM than one card has, you need multiple cards working together, or a card with more memory.
as an AI model requires,
or the model simply won't load. See Get a Recommendation
to see which models this hardware can run, or
add it to a side-by-side comparison.