A2 16GB

Specs, explained

Used for Edge AI and inference

1. 0116 GB of GDDR6 memory

   VRAM

   16 GB

   Memory type

   GDDR6

   Memory bandwidth

   0.2 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 8 billion parameters, before activations and cache. This is arithmetic on the recorded VRAM, not a benchmark.

2. 02Ampere architecture

   Architecture

   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. 03Form factor and power

   NVLink

   Not supported

   MIG

   Not supported

   Form factor

   PCIe low-profile single-slot

   TDP

   60 W

   Kovara's records show no NVLink support, so multi-GPU jobs on this part rely on PCIe or the network between servers to move data.

   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)

   Edge AI / inference

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

   • Edge AIRunning models close to where data is produced, in compact, power-limited systems.
   • inferenceRunning a trained model to answer requests. Memory capacity, latency and cost per request are the usual concerns.

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.