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Ada Lovelace architecture

NVIDIA RTX 6000 Ada

NVIDIA RTX 6000 Ada combines 18,176 Ada-generation CUDA cores with a 48 GB ECC frame buffer — the current professional workhorse for graphics, rendering and AI-adjacent workloads.

Request GPU ConsultationView specifications
GPU memory
48 GB GDDR6 ECC
Memory bandwidth
960 GB/s
CUDA cores
18,176

Specifications as published by NVIDIA; Tensor Core ratings shown are sparsity-accelerated figures.

RTX 6000 AdaRTX 6000 AdaADA LOVELACE ARCHITECTURE

Overview

Why RTX 6000 Ada fits

Ada Lovelace generation, professional graphics

RTX 6000 Ada is the natural modern upgrade for professional visualisation estates: roughly 1.7x the cores and markedly more memory bandwidth than the previous generation, with third-generation RT cores and fourth-generation Tensor cores in a 300 W dual-slot card. It accelerates the full professional pipeline — modelling, simulation, rendering and AI-assisted features.

It is also commonly used for local AI development: a workstation or server card on which models are prototyped before production capacity is sourced. Availability and configurations are confirmed per engagement.

Specifications

RTX 6000 Ada technical specifications

Published figures for the accelerator, followed by the variant and configuration caveats that apply.

Architecture
NVIDIA Ada Lovelace
GPU memory
48 GB GDDR6 with ECC
Memory interface
384-bit
Memory bandwidth
960 GB/s
CUDA cores
18,176
Tensor cores
568 (fourth-generation)
RT cores
142 (third-generation)
Bus
PCIe Gen4 x16
Power
300 W
Display outputs
4x DisplayPort 1.4a

Variant & configuration note

Workstation-class Ada card. For rack-scale deployments, compare against L40S (same generation, data center form factor) during scoping. 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 6000 Ada fits

Workload shapes this platform suits — the scoping conversation maps them to a concrete configuration.

  • Professional rendering

    Ray-traced rendering, animation and virtual production with third-generation RT cores and DLSS-style acceleration.

  • AI-assisted engineering

    Generative design, simulation surrogates and denoising across CAD, CAE and media tool chains.

  • Local AI development

    Prototype, fine-tune and validate models on a 48 GB card before scaling to data center capacity.

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

RTX A6000RTX A6000AMPERE ARCHITECTUREAmpere

NVIDIA RTX A6000

48 GB of ECC professional graphics memory on Ampere — a workhorse for AI-assisted design, rendering and visualisation.

GPU memory
48 GB GDDR6 ECC
Memory bandwidth
768 GB/s
CUDA cores
10,752
View specifications
RTX Pro 6000RTX Pro 6000BLACKWELL ARCHITECTUREBlackwell

NVIDIA RTX Pro 6000

The Blackwell-generation professional flagship — 96 GB of GDDR7 and current-generation AI/graphics capability in workstation or server editions.

GPU memory
96 GB GDDR7 ECC
Memory bandwidth
1,792 GB/s
CUDA cores
24,064
View specifications
L40SL40SADA LOVELACE ARCHITECTUREAda Lovelace

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
View specifications
Browse all GPU instances

FAQ

RTX 6000 Ada — common questions

Is RTX 6000 Ada enough for AI training?
For small and mid-size models and for development work, yes. For large-scale training you want data center accelerators with NVLink and much higher memory bandwidth. Its strength is the graphics-plus-AI mix — training prototypes, fine-tunes and inference next to visualisation.
How does it relate to L40S?
They share the Ada generation but are built for different homes: RTX 6000 Ada is a workstation-class card, L40S is a passive data center card with AV1 media engines and denser rack deployments. We help pick based on where the card will live and what it must do.
What about driver and application certification?
All the major professional applications certify against RTX platforms; we confirm the specific versions your workflows depend on during scoping, and manage driver baselines across the estate if you take a managed service.

Request a GPU consultation

Talk to us about NVIDIA RTX 6000 Ada — workload-first scoping, written findings and a proposal with clear scope. No obligation.

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