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Overview
Add AI to Any Server for Under 60 Watts
The NVIDIA A2 is the most affordable way to bring GPU-accelerated inference into your data center or edge environment. At just 40-60 watts (configurable) in a single-slot, low-profile card with a PCIe Gen4 x8 interface, it fits into servers that weren't designed for GPU acceleration, including 1U rack servers, tower servers, and compact edge platforms.
With 16GB of GDDR6 memory and third-generation Tensor Cores on the Ampere architecture, the A2 delivers up to 20X more inference performance than a CPU-only server. It won't train large models or run demanding graphics, and it's not designed to. The A2 exists for one purpose: making it simple and inexpensive to add inference capabilities to your existing infrastructure.
For organizations deploying intelligent video analytics at retail locations, running inference at manufacturing sites, or adding basic AI to branch office servers, the A2 is the entry point that gets you started without a major investment.
A2 vs. L4: Do You Need More?
The A2 handles basic inference at the lowest cost. The L4 delivers significantly more performance with FP8 support, double the PCIe bandwidth, and 50% more memory. If you're not sure which you need, we can help.
| A2 | L4 | |
|---|---|---|
| Architecture | Ampere | Ada Lovelace |
| Memory | 16GB GDDR6 | 24GB GDDR6 |
| PCIe Interface | Gen4 x8 | Gen4 x16 |
| TDP | 40-60W | 72W |
| FP8 Tensor | N/A | 485 TFLOPS |
| AV1 Encode | No | Yes |
40W
Min Configurable TDP
16GB
GDDR6 Memory
20x
FP8 TFLOPS (Sparse)
x8
PCIe Gen4 (Slot-Powered)
Compatible Servers
Dell PowerEdge Servers That Support the A2
The A2's ultra-low-profile, slot-powered, x8 design fits into virtually any Dell PowerEdge server with a half-height PCIe slot.
Dell PowerEdge R760
Mainstream Inference- 16th Gen Intel Xeon 2U server
- Add A2 for inference alongside existing workloads
Dell PowerEdge R660
1U Deployment- 16th Gen Intel Xeon 1U server
- A2 fits where larger GPUs can't
Dell PowerEdge R650
1U Budget- 15th Gen Intel Xeon 1U server
- Refurbished + A2 = lowest-cost AI server
Dell PowerEdge R750
Refurbished Value- 15th Gen Intel Xeon 2U workhorse
- Pair with A2 for affordable edge AI
Dell PowerEdge XR7620
Edge / Rugged- 16th Gen edge-optimized server
- A2 for retail, factory, and field AI
Dell PowerEdge T560
Tower / Lab- 16th Gen tower server
- Easy A2 install for development and testing
Use Cases
Where the A2 Makes Sense
Lower Power and Configurable TDP
NVIDIA A2 is optimized for inference workloads and deployments in entry-level servers constrained by space and thermal requirements, such as 5G edge and industrial environments. A2 delivers a low-profile form factor operating in a low-power envelope, from a TDP of 60W down to 40W, making it ideal for any server.
Edge AI & Intelligent Video Analytics
The A2 was designed for edge inference: smart retail, traffic monitoring, industrial inspection, and security analytics. Its 40-60W configurable TDP means it runs in thermally constrained environments like retail back-rooms and factory floors. Drop it into an existing edge server to add real-time object detection, classification, and video analytics without changing your power or cooling infrastructure.
Entry-Level AI Inference
For organizations just getting started with AI, the A2 removes the barrier to entry. It accelerates popular frameworks like TensorRT, Triton Inference Server, and ONNX Runtime out of the box. Deploy it for recommendation engines, fraud detection, chatbot backends, or any inference workload where response time matters more than model size.
Lightweight Virtual Desktops
With vGPU software support (vPC, vApps, RTX vWS), the A2 can power basic GPU-accelerated virtual desktops for users who need smoother video playback, better browser performance, and GPU-backed Office applications. It won't match the A16's user density, but at a fraction of the cost and power draw, it's a sensible starting point for small VDI pilots.
Video Transcoding & Streaming
The A2 includes hardware video encode and decode engines with AV1 decode support. For smaller-scale streaming, transcoding, and video processing pipelines, it handles the workload without requiring a higher-end GPU. When your video volume grows beyond what the A2 can handle, the L4 is the natural step up.
Specifications
NVIDIA A2 Tensor Core GPU
| Specification | A2 |
|---|---|
| GPU Architecture | NVIDIA Ampere |
| GPU Memory | 16GB GDDR6 |
| Memory Bandwidth | 200 GB/s |
| Interconnect | PCIe Gen4 x8 |
| FP32 | 4.5 TFLOPS |
| TF32 Tensor Core | 9 / 18 TFLOPS* |
| BFLOAT16 Tensor Core | 18 / 36 TFLOPS* |
| FP16 Tensor Core | 18 / 36 TFLOPS* |
| INT8 Tensor Core | 36 / 72 TOPS* |
| INT4 Tensor Core | 72 / 144 TOPS* |
| RT Cores | 10 |
| NVENC / NVDEC | 1× / 2× (includes AV1 decode) |
| Max TDP | 40-60W (configurable) |
| Power Connector | None (slot-powered) |
| Form Factor | Single-slot, low-profile PCIe |
| Thermal | Passive |
| vGPU Support | vPC, vApps, RTX vWS, vCS, AI Enterprise |
| Secure Boot | Yes (Root of Trust, optional) |
| NEBS Ready | Level 3 |
Starting Your First GPU Deployment?
The A2 is the lowest-cost entry point for GPU-accelerated AI. ServerMonkey can help you pick the right server to pair it with.
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