Turing architecture
NVIDIA RTX 8000
NVIDIA RTX 8000 is the 48 GB Turing-based professional card that brought large-frame-buffer ray tracing to workstation and visualisation workloads.
- GPU memory
- 48 GB GDDR6 ECC
- Memory bandwidth
- 672 GB/s
- CUDA cores
- 4,608
Specifications as published by NVIDIA; Tensor Core ratings shown are sparsity-accelerated figures.
Overview
Why RTX 8000 fits
Turing architecture, 48 GB frame buffer
RTX 8000's defining characteristic is its 48 GB frame buffer — enough to hold very large models, scenes and assemblies that overwhelm consumer-class memory. Its Turing architecture introduced hardware ray tracing and tensor cores to professional workflows, and a large installed base of design and visualisation software still targets it.
We position it for graphics and visualisation estates where a proven, stable platform is preferred, and where workloads are sized for its generation. For new AI-heavy projects, current-generation cards will usually be the better recommendation. Capacity is partner-sourced and confirmed per engagement.
Specifications
RTX 8000 technical specifications
Published figures for the accelerator, followed by the variant and configuration caveats that apply.
- Architecture
- NVIDIA Turing
- GPU memory
- 48 GB GDDR6 with ECC
- Memory interface
- 384-bit
- Memory bandwidth
- 672 GB/s
- CUDA cores
- 4,608
- Tensor cores
- 576
- RT cores
- 72
- Bus
- PCIe 3.0 x16
- Power
- 295 W total board power
- Display outputs
- 4x DisplayPort 1.4
Variant & configuration note
Turing-generation professional card. Driver and ISV support for older generations should be verified against your specific applications during scoping; we will confirm software-stack compatibility before recommending it.
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 8000 fits
Workload shapes this platform suits — the scoping conversation maps them to a concrete configuration.
Visualisation and simulation
Large CAD assemblies, datasets and visualisation scenes that need the 48 GB frame buffer to display and iterate without paging.
Rendering and design
Ray-traced rendering pipelines in established professional applications with mature Turing support.
Graphics acceleration in existing estates
Extending or standardising on a platform already present in the environment, with predictable behaviour.
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 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
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 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 8000 — common questions
Should new projects choose RTX 8000?
Is the 48 GB memory still useful?
Can you manage a mixed RTX 8000 and current-generation fleet?
Request a GPU consultation
Talk to us about NVIDIA RTX 8000 — workload-first scoping, written findings and a proposal with clear scope. No obligation.
