Ampere architecture
NVIDIA RTX A6000
NVIDIA RTX A6000 unites Ampere compute with a 48 GB ECC frame buffer — the professional graphics and AI card of the Ampere workstation generation.
- GPU memory
- 48 GB GDDR6 ECC
- Memory bandwidth
- 768 GB/s
- CUDA cores
- 10,752
Specifications as published by NVIDIA; Tensor Core ratings shown are sparsity-accelerated figures.
Overview
Why RTX A6000 fits
Ampere architecture for professional graphics
RTX A6000 sits at the intersection of graphics and AI that defines modern professional work: CAD and BIM with AI-assisted features, rendering pipelines that mix ray tracing with denoising, and visual computing that benefits from a 48 GB ECC buffer. Its Ampere architecture is thoroughly proven across professional software certifications.
It is the natural step from RTX 8000 when a workload is ready for a newer, faster architecture with the same large-memory philosophy. Capacity is partner-sourced and confirmed per engagement.
Specifications
RTX A6000 technical specifications
Published figures for the accelerator, followed by the variant and configuration caveats that apply.
- Architecture
- NVIDIA Ampere
- GPU memory
- 48 GB GDDR6 with ECC
- Memory interface
- 384-bit
- Memory bandwidth
- 768 GB/s
- CUDA cores
- 10,752
- Tensor cores
- 336 (third-generation)
- RT cores
- 84 (second-generation)
- Bus
- PCIe Gen4 x16
- Power
- 300 W
- Display outputs
- 4x DisplayPort 1.4a
Variant & configuration note
Ampere-generation professional card; support lifecycle and ISV certifications for your specific applications are confirmed during scoping. Server or workstation host configuration is scoped per engagement.
Specifications describe the GPU itself as published by NVIDIA — not a fixed server configuration. Scalenta scopes complete instances (GPU count, interconnect, CPU, memory, storage) per engagement and states them in writing.
Use cases
Where RTX A6000 fits
Workload shapes this platform suits — the scoping conversation maps them to a concrete configuration.
AI-assisted design workflows
CAD, BIM and content pipelines where AI features, denoising and simulation run alongside traditional graphics.
Rendering and visualisation
Ray-traced rendering and large-scene visualisation with a 48 GB ECC buffer.
Light AI workload co-existence
Fine-tuning and inference for graphics-adjacent models on the same professional platform, without a separate AI estate.
Delivery model
Partner-sourced, scoped in writing
How GPU capacity is delivered at Scalenta — the same three commitments on every model page.
Partner-sourced capacity
Accelerator capacity is sourced through verified data center and hardware partners — no facility-ownership claims, no stock promises.
Scoped per engagement
Model, variant, GPU count, interconnect and host configuration are confirmed in writing before anything is committed.
Operated with 24/7 support
Deployments are covered by 24/7 support and SLA-backed managed services scoped to your environment.
Related GPU models
Nearby options in the catalogue
NVIDIA RTX 6000 Ada
The current-generation professional graphics flagship: Ada throughput, 48 GB ECC memory, and strong AI capability in one card.
- GPU memory
- 48 GB GDDR6 ECC
- Memory bandwidth
- 960 GB/s
- CUDA cores
- 18,176
NVIDIA RTX 8000
A 48 GB professional graphics platform for visualisation, design and graphics rendering on proven Turing-era tooling.
- GPU memory
- 48 GB GDDR6 ECC
- Memory bandwidth
- 672 GB/s
- CUDA cores
- 4,608
NVIDIA L40S
One card for generative AI, 3D graphics, rendering and video — the pragmatic choice where workloads refuse to stay in one lane.
- GPU memory
- 48 GB GDDR6 ECC
- Memory bandwidth
- 864 GB/s
- FP8 tensor
- 1,466 TFLOPS
FAQ
RTX A6000 — common questions
RTX A6000 or RTX 6000 Ada for a new graphics platform?
Can A6000 serve both designers and AI workloads?
Is ECC memory important for graphics workloads?
Request a GPU consultation
Talk to us about NVIDIA RTX A6000 — workload-first scoping, written findings and a proposal with clear scope. No obligation.