GPU + RAM / RTX A6000
48GB workstation route
RTX A6000 48GB with 128GB system memory, for people considering workstation-class GPU capacity. This capacity pairing is a starting point, not a complete PC or a promise of model fit; verify exact variants, runtime support and used condition.
Last updated: · Content revision; prices have separate check times.
Editorial pairing · Reviewed October 22, 2026 · US / USDWho this pairing is for
The RTX A6000 has 48GB GPU memory. The RTX 6000 Ada also has 48GB, but it is a different product and architecture. Their offers and price histories must stay separate.
Workstation prices can be substantially different from consumer cards. Verify cooling, power, runtime support and seller terms. Passive server accelerators require an appropriate server airflow design; do not substitute one casually.
Compare current GPU + RAM listings
Both matching components need a current verified listing before we show a combined price.
Check the exact kit against your platform. Matching capacity and memory type alone do not establish compatibility.
| Product / exact variant | Current price | Price rating | Retailers | Buy or compare |
|---|---|---|---|---|
 Corsair Vengeance2 × 64GB kit · CL40 · 128GB · DDR5 · 6000 MT/s | $2,803.99 $21.91 / GB system RAM Corsair | RigScoreNot rated yet 10 observed days | 1 retailernew · USD | Price history ↗ |
Check compatibility before buying
Confirm the GPU is supported by your runtime and operating system. GPU memory and system RAM are separate pools. Check the exact memory kit against your platform: DDR4 and DDR5 differ, and registered RDIMMs are not a substitute for desktop UDIMMs. Used variants keep a separate asking-price history from new stock, with individual seller offers. RigScore evaluates tracked price, not inference speed or compatibility.
Research & specification sources
- Personal-lab hardware reports (self-reported, not a market-share survey)
- NVIDIA RTX 3090 specifications
- NVIDIA RTX 5090 specifications
- NVIDIA professional desktop GPUs
- Ollama hardware and runtime support
Community reports identify real use cases, not population-wide popularity. Capacity targets are editorial choices, not model-fit guarantees or measured benchmarks.