
NVIDIA RTX 6000 24GB GDDR6 Workstation GPU | Turing Architecture, NVLink, ECC Memory
NVIDIA RTX 6000 24 GB GPU – Turing Architecture for Professional Visualisation & AI
Professional-Grade NVIDIA RTX 6000 24 GB GPU (PNs: 900-2G150-6240-030, R0Z45C, 0M1T16, M1T16) – Ideal for Rendering, Simulation & AI
The NVIDIA RTX 6000 24 GB GPU is a high-performance workstation graphics solution built on the Turing architecture. Featuring 24 GB GDDR6 ECC memory, 4,608 CUDA cores, 576 Tensor cores, and 72 RT cores, it enables professionals to handle large models, complex simulations, and real-time ray tracing with confidence.
Whether you’re accelerating 3D rendering, scientific visualisation, or AI tasks, this GPU offers robust performance and reliability. The part numbers 900-2G150-6240-030, R0Z45C, 0M1T16, and M1T16 all correspond to this configuration, ensuring consistent specifications and compatibility across variants.
⚙ Product Specifications: NVIDIA RTX 6000 24 GB GPU
CLICK HERE FOR SPECIFICATIONS SHEET
Specification | Details |
---|---|
Model / Part Numbers | RTX 6000 (900-2G150-6240-030, R0Z45C, 0M1T16, M1T16) |
Architecture | NVIDIA Turing™ |
CUDA Cores | 4,608 |
Tensor Cores | 576 |
RT Cores | 72 |
GPU Memory | 24 GB GDDR6 ECC |
Memory Interface | 384-bit |
Memory Bandwidth | Up to 672 GB/s |
Single-Precision (FP32) Perf. | ~16.3 TFLOPS |
NVLink Support | Yes (for multi-GPU memory scaling) |
System Interface | PCI Express 3.0 x16 |
Display Outputs | 4 × DisplayPort 1.4 + 1 × VirtualLink (varies by board) |
Power Consumption (TDP) | 295 W board power |
Form Factor | Dual-slot, full height (4.4” H × 10.5” L) |
Use Cases | Professional rendering, VR/AR simulation, AI visualization |
💬 Frequently Asked Questions (FAQs)
Q1: Are all listed part numbers identical in spec?
Yes - the PN variants 900-2G150-6240-030, R0Z45C, 0M1T16, and M1T16 represent the same hardware configuration of the NVIDIA RTX 6000 24 GB GPU.
Q2: Is the 24 GB memory size sufficient for professional workloads?
Absolutely. This GPU’s 24 GB GDDR6 ECC memory supports large 3D scenes, VR applications, and AI inference tasks. For even larger datasets or models, dual-GPU NVLink configurations are supported.
Q3: Can this GPU be used in servers or only in workstations?
While it’s designed for professional workstations, many servers configured for visualization, simulation, or AI workloads can integrate this card - provided adequate cooling and slot support.
Q4: What distinguishes this GPU from the 48 GB variants?
The primary difference is memory capacity. The 48 GB variants provide more headroom for massive datasets, but the 24 GB variant still delivers the same core architecture and performance features.
Q5: What certification or driver support is available?
This GPU is ISV-certified for major professional software (e.g., Autodesk, SolidWorks, Adobe) and uses NVIDIA’s Quadro/RTX driver stack for workstation reliability.