RTX A5000 24GB

Specs, explained

Used for AI, rendering and workstation

1. 0124 GB of GDDR6 memory

   VRAM

   24 GB

   Memory type

   GDDR6

   Memory bandwidth

   0.768 TB/s

   GDDR is graphics memory mounted on the board around the GPU rather than stacked on the package. It is widely used on graphics, rendering and cost-efficient inference cards.

   VRAM is the working space on the card. Model weights, activations and datasets have to fit in it, or be split across several GPUs. Rule of thumb for the weights alone at 16-bit precision (about 2 GB per billion parameters): up to roughly 12 billion parameters, before activations and cache. This is arithmetic on the recorded VRAM, not a benchmark.

2. 02Ampere architecture

   Architecture

   Ampere

   Generation

   RTX Ampere

   Launch year

   2021

   Lifecycle status

   Previous

   Ampere brought third-generation Tensor Cores, TF32 precision and Multi-Instance GPU (MIG) to its data-center parts. (General context about the architecture, not a statement about this specific card.)

   Launched in 2021. Kovara's records list it as a previous-generation part.

3. 03Built to scale across GPUs

   NVLink

   Supported

   MIG

   Not supported

   Form factor

   PCIe dual-slot

   TDP

   230 W

   NVLink is a direct GPU-to-GPU link. Where it is supported, GPUs in the same server can exchange data faster than over PCIe alone, which matters when one training job is spread across several GPUs.

   PCIe cards slot into standard server and workstation expansion slots, which suits a wide range of systems.

   TDP is the rated thermal design power: the planning figure for power delivery and cooling in a server.

4. 04What it is used for

   Primary use (recorded)

   AI / rendering / workstation

   These are the uses Kovara has recorded for this part. The notes explain the workload in general terms; they are not performance claims.

   • AI
   • renderingProducing images and video from 3D scenes.
   • workstationInteractive graphics and professional design or engineering applications.

Figures are Kovara master data, last verified 03 Sept 2026. Explanations describe the technology in general; they are not benchmarks and say nothing about price or availability.