NVIDIA RTX A5000 - 24GB GDDR6 Workstation GPU | NVIDIA
MPN: A5000 β Active| Qty | Unit Price | Extended |
|---|---|---|
| 1 | $2325 | $2,325.00 |
| 10 | $2278.5 | $22,785.00 |
| 100 | $2232 | $223,200.00 |
| 500 | $2185.5 | $1,092,750.00 |
| 1,000 | $2139 | $2,139,000.00 |
A5000 Overview
A workstation GPU is a specialized graphics processing unit designed for professional workloads such as 3D rendering, AI training and inference, scientific simulation, and broadcast production. Within NVIDIA's product hierarchy, the RTX A5000 sits in the mid-to-upper Ampere workstation family between the RTX A4000 and the RTX A6000, delivering certified drivers and ISV application support that consumer GeForce cards do not provide.
Key features include 24 GB of ECC-enabled GDDR6 memory, which protects long-running renders and AI datasets from silent memory errors; single-precision performance of 27.8 TFLOPS; third-generation NVLink support for scaling two RTX A5000 cards into a single 48 GB multi-GPU pool; and PCI Express Gen 4.0 host bandwidth. AV1 decode support makes it suitable for modern video streaming and broadcast pipelines.
The Ampere architecture pairs RT Cores for hardware-accelerated ray tracing with Tensor Cores for DLSS and AI acceleration, allowing photorealistic rendering and neural workloads to run on the same board. The GA102-class silicon is optimized for sustained professional duty cycles with workstation-grade reliability targets.
Typical applications include AI model development and inference, real-time ray-traced rendering in DCC tools such as Autodesk Maya and Blender, medical imaging, and broadcast video production.
Design consideration: verify workstation power envelope and airflow; professional cards are tuned for continuous 24/7 load rather than bursty gaming duty.
This page synthesizes datasheet specifications, same-family drop-in alternatives, application guidance, and FAQs not consolidated in the NVIDIA datasheet.
Drop-in alternatives for A5000 β same package, pin-to-pin compatible. Different-package parts requiring PCB rework are excluded.
Quick Comparison Tool β Select alternative parts for side-by-side comparison:
RTX A4500
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RTX A6000
β Drop-In β οΈ εζ°εΎ ιͺθ―π Reference alternative (not in catalog)
RTX A4000
β Drop-In β οΈ εζ°εΎ ιͺθ―π Reference alternative (not in catalog)
RTX A5000
β Drop-Inπ Reference alternative (not in catalog)
A5000 Specifications (manufacturer-published)
| GPU Memory | 24 GB GDDR6 |
| Memory Interface | 384-bit |
| Memory Bandwidth | 768 GB/s |
| Error-Correcting Code (ECC) | Yes |
| CUDA Cores | 8,192 |
| Tensor Cores (3rd Generation) | 256 |
| RT Cores (2nd Generation) | 64 |
| Single-Precision Performance | 27.8 TFLOPS |
| Architecture | NVIDIA Ampere |
| Host Interface | PCI Express Gen 4.0 |
| NVLink | Yes (3rd generation, 2-way scaling) |
| AV1 Decode | Yes |
| Form Factor | PCI Express dual-slot graphics card |
A5000 Interfaces & Connectors
No manufacturer-published interface list is available for A5000. Refer to the manufacturer documentation for connector and header details.
Refer to the manufacturer documentation for the full expansion header pinout and connector pin numbering.
Typical Applications
A5000 is suitable for 6 applications: AI Model Development and Training, 3D Rendering and Content Creation, Broadcast and Video Production, Medical Imaging, CAE and Scientific Simulation, Virtual Workstations and VDI.
AI Model Development and Training
The RTX A5000 fits AI development because its 256 third-generation Tensor Cores accelerate mixed-precision (FP16/BF16) matrix operations, while 24 GB of ECC GDDR6 holds mid-size models, activations, and batches without offloading. The 768 GB/s memory bandwidth keeps large tensor traffic off the critical path during training iterations. In a CUDA-based workflow with PyTorch or TensorFlow, the card operates as the primary compute device attached via PCI Express Gen 4.0, delivering 27.8 TFLOPS of single-precision throughput for data preprocessing and non-mixed workloads. Two A5000 boards can be linked with NVLink to pool 48 GB for larger models. The trade-off versus an A6000 is halved memory capacity, so very large language models may require gradient checkpointing or model parallelism on the A5000.
Recommended
3D Rendering and Content Creation
For DCC (digital content creation) workloads in Autodesk Maya, 3ds Max, Blender, and Cinema 4D, the RTX A5000 provides 64 second-generation RT Cores that accelerate ray-traced path tracing in renderers such as Chaos V-Ray and NVIDIA Omniverse. The 24 GB ECC framebuffer accommodates heavy scenes with dense geometry and high-resolution texture sets, where ECC prevents visual corruption artifacts in multi-hour final renders. The 768 GB/s bandwidth supports fast viewport navigation on large assemblies. Typical deployment is a PCIe Gen 4.0 x16 slot in a certified workstation with NVIDIA Studio or RTX Enterprise drivers, which are ISV-validated for application stability. Compared with GeForce parts, the A5000 sustains long render queues within workstation thermal envelopes and supports NVLink scaling across two boards for deadline-driven productions.
Recommended
Broadcast and Video Production
The RTX A5000 serves broadcast pipelines with hardware AV1 decode plus H.264/H.265 codecs and NVENC encode engines, enabling 8K ingest, real-time color grading, and streaming delivery from a single board. Its 24 GB memory supports multi-stream 4K/8K timelines in Adobe Premiere Pro and DaVinci Resolve without dropping frames. In virtualized broadcast environments, the card runs in certified workstations and servers with NVIDIA virtual GPU software for shared deployment across production seats. The 27.8 TFLOPS of compute accelerates AI features such as object removal, upscaling, and auto-captioning directly on the timeline. Compared with a single-slot A4000, the A5000 sustains higher concurrent stream counts thanks to greater memory and NVENC throughput; the trade-off is a dual-slot width and higher power draw that require a suitable chassis.
Recommended
Medical Imaging
Medical imaging workloads - CT and MRI reconstruction, ultrasound beamforming, and AI-assisted diagnosis - benefit from the RTX A5000's ECC memory, which guards reconstruction accuracy against silent bit errors over continuous 24/7 duty. The 24 GB framebuffer holds full volumetric datasets (a 4D CT series can exceed 10 GB) resident on the GPU for real-time manipulation, while Tensor Cores accelerate deep-learning reconstruction and lesion-detection models at the point of care. NVIDIA maintains healthcare-specific software stacks (Clara, MONAI) that run on Ampere GPUs, and many OEM medical workstations are certified with the A5000. Deployment is via PCI Express Gen 4.0 in a certified clinical workstation. Compared with consumer GPUs, the certified driver model and ECC support are the deciding factors in regulated clinical environments.
Recommended
CAE and Scientific Simulation
In computer-aided engineering (CAE) - computational fluid dynamics, structural FEA, and multiphysics - the RTX A5000 offloads GPU-solver kernels in tools such as ANSYS Fluent, Abaqus, and Siemens Simcenter. Its 8,192 CUDA cores deliver 27.8 TFLOPS of FP32 throughput for explicit solvers, and 24 GB of ECC memory permits mid-size meshes to be solved entirely in GPU memory, avoiding PCIe transfer bottlenecks. For larger models, NVLink connects two A5000 boards into a 48 GB pool so domain decomposition stays on-GPU. Typical deployment is a thermal-optimized workstation with the card in a Gen 4 x16 slot running sustained 100% load for hours; the professional cooling design and ECC target exactly this duty cycle. The trade-off versus an A6000 is fewer cores and memory for the very largest CFD meshes.
Recommended
Virtual Workstations and VDI
The RTX A5000 is a common building block for virtual desktop infrastructure (VDI) and hosted workstations, where NVIDIA virtual GPU (vGPU) software slices one board across multiple user sessions for CAD, media, and geospatial users. The 24 GB frame buffer divides cleanly across two to four power users, ECC maintains data integrity in multi-tenant servers, and Ampere's NVENC/NVDEC engines serve remote-frame encoding. Deployment is in certified rack servers with PCI Express Gen 4.0, with vGPU licensing per concurrent user. The NVLink capability is generally unused in VDI but available for pooled GPU profiles in rendering farms. Compared with the single-slot A4000, the A5000 supports more concurrent high-end users per board, improving per-rack density, at the cost of higher board power and price per slot.
Recommended
Recommended Products Summary
Engineering reference data for A5000 β comparison, design guidance, and compliance information.
Selection Guide
Comparison with Alternatives
| Parameter | This Product | RTX A4500 | RTX A6000 | RTX A4000 |
|---|---|---|---|---|
| Package | PCIe dual-slot graphics card | PCIe dual-slot - same | PCIe dual-slot - same | PCIe single-slot |
| Brand | NVIDIA | NVIDIA | NVIDIA | NVIDIA |
| GPU Memory | 24 GB GDDR6 | 24 GB GDDR6 | 48 GB GDDR6 | 16 GB GDDR6 |
| ECC Memory | Yes | Yes | Yes | Yes |
| NVLink | Yes (3rd gen, 2-way) | Yes | Yes (3rd gen) | No |
| Architecture | NVIDIA Ampere | NVIDIA Ampere | NVIDIA Ampere | NVIDIA Ampere |
Key Differentiators
- 24 GB ECC GDDR6 in a balanced dual-slot card (vs RTX A4000)
- NVLink 2-way memory scaling (vs RTX A4000)
- Cost-efficient mid-tier of the Ampere workstation family (vs RTX A6000)
Design Notes
Professional workstation GPUs such as the RTX A5000 are engineered for sustained 24/7 load, unlike bursty consumer duty cycles. Ensure the workstation chassis provides the intended airflow path across the dual-slot blower: front-to-back airflow with no dead zones behind the card. Estimated: with typical professional board power and a workstation chassis, ambient intake air above 35 C derails sustained boost clocks - verify intake temperature if renders throttle. Refer to the NVIDIA datasheet for exact board power before sizing the cooling budget.
Verify the exact board power rating and auxiliary PCIe power connector type in the NVIDIA RTX A5000 datasheet before integrating. Size the system PSU with headroom for the board, CPU peak load, and platform overhead; enterprise guidance is typically 30-40% margin above nominal total draw. Use separate PCIe power cables from the PSU rather than daisy-chained pigtails to avoid connector-level current sharing issues under sustained professional loads.
NVLink pairing requires a compatible NVLink bridge and adequate slot spacing - not all dual-slot boards fit two A5000s in standard workstations; check OEM chassis documentation. When substituting an A4000 in an A5000 design, remember the single-slot cooler changes the airflow requirement of adjacent slots. Finally, always install NVIDIA RTX Enterprise (formerly Quadro/ODE) drivers for ISV-certified applications; GeForce drivers are not validated for these workflows.
Compliance Information
Compliance details are not stated in the provided NVIDIA datasheet excerpts; consult NVIDIA product compliance documentation.
