NVIDIA RTX 5000 Ada 32GB (900-5G132-2240-000)
P/N: 900-5G132-2240-000
4 586 € (inc. VAT (Spain))

P/N: 900-2G171-0000-000
3 764 € (inc. VAT (Spain))
EU Delivery time is made within 3-7 days
This is an estimated timeframe. Delivery times may vary depending on logistics and stock availability.
Warranty 2 year
The product is covered by the manufacturer’s standard warranty.
In stock
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NVIDIA A16 64GB. with fast EU delivery and worldwide shipping. Includes official warranty.
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| Weight | 1,20 kg |
|---|---|
| Dimensions | 26,7 × 11,2 × 17 cm |
| Country of manufacture | Taiwan |
| Manufacturer's warranty (years) | 1 |
| Model | NVIDIA A16 |
| Cache L2 (MB) | 2 |
| Cache L1 (KB) | 128 |
| Process technology (nm) | 8 |
| Memory type | GDDR6 |
| Graphics Processing Unit (Chip) | |
| Number of CUDA cores | 5120 |
| Number of Tensor cores | 160 |
| Number of RT cores | 40 |
| GPU Frequency (MHz) | 1312 |
| GPU Boost Frequency (MHz) | 1763 |
| Video memory size (GB) | 64 |
| Memory frequency (MHz) | 12500 |
| Memory bus width (bits) | 512 |
| Memory Bandwidth (GB/s) | 800 |
| Connection interface (PCIe) | PCIe 4.0 x8 |
| FP16 performance (TFLOPS) | 73.72 |
| FP32 performance (TFLOPS) | 18.43 |
| FP64 performance (TFLOPS) | 1.085 |
| NVENC / NVDEC number of blocks | 4×NVENC, 8×NVDEC |
| Cooling type | Passive (server module) |
| Number of occupied slots (pcs) | 2 |
| SKU | 900-2G171-0000-100, 900-2G171-0020-100 |
| Architecture | Ampere |
NVIDIA A16 64GB is a specialized graphics accelerator based on the Ampere architecture, designed for enterprise data centers where high user density and reliable virtual desktop performance are critical. Unlike the A40 or A100 models, which focus on compute and AI workloads, the A16 is purpose-built for VDI, cloud desktops, and corporate environments supporting hundreds of users.
Compared to NVIDIA Tesla T4.
The A16 replaces the T4 and, in the same compact form factor, delivers up to four times more virtual desktops per server. This enables infrastructure consolidation and reduces hardware costs.
Compared to NVIDIA A40.
While the A40 is aimed at visualization and engineering workloads, the A16 focuses on multi-user virtualization. The A40 is preferred by architects and designers, whereas the A16 excels in office VDI, enterprise cloud, and educational environments.
Compared to NVIDIA A100.
The A100 targets AI and HPC workloads, whereas the A16 specializes in stability and scalability — designed to support hundreds of lightweight virtual machines simultaneously.
NVIDIA A16 64GB is more than a graphics card — it’s a foundation for scalable enterprise infrastructure. It offers an ideal balance of performance, efficiency, and reliability, enabling more virtual desktops at lower operational cost.
Take the next step in optimizing your IT infrastructure — order your NVIDIA A16 64GB today and bring your enterprise systems to a new level of efficiency.
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The NVIDIA A16 64GB is a high-performance graphics accelerator based on the Ampere architecture, specifically designed for Virtual Desktop Infrastructure (VDI) tasks and ensuring high user density. Its unique architecture, featuring four graphics processing units (GPUs) on a single board, makes it an ideal solution for creating scalable remote access infrastructure, ensuring comfortable work with graphics-intensive applications and multimedia content.
A key advantage of the NVIDIA A16 is its impressive video memory capacity — 64 GB (16 GB per GPU), which significantly exceeds the metrics of most single-processor competitors. The card provides exceptional flexibility in resource distribution, allowing for the efficient support of a large number of concurrent users with a guaranteed level of performance. Support for the PCIe 4.0 interface and optimized power consumption make it a balanced choice for modern data centers.
The table presents a comparison of the NVIDIA A16 64GB with its nine closest competitors and alternative solutions in the professional graphics and computing segment. The data is based on the provided technical specifications.
| Model | VRAM (GB) | Memory Type | Bandwidth (GB/s)* | CUDA Cores | FP16 (TFLOPS) | FP32 (TFLOPS) | FP64 (TFLOPS) | Interface | TDP (W) |
|---|---|---|---|---|---|---|---|---|---|
| NVIDIA A16 64GB | 64 | GDDR6 | 800 | 5120 | 73.72 | 18.43 | 1.085 | PCIe 4.0 x8 | 250 |
| NVIDIA A40 48GB | 48 | GDDR6 | 695.8 | 10752 | 37.42 | 37.42 | 0.58 | PCIe 4.0 x16 | 300 |
| NVIDIA L40 48GB | 48 | GDDR6 ECC | 864 | 18176 | 362.1 | 90.52 | 1.41 | PCIe 4.0 x16 | 300 |
| NVIDIA L40S 48GB | 48 | GDDR6 ECC | 864 | 18176 | 733 | 366 | – | PCIe 4.0 x16 | 350 |
| NVIDIA A100 40GB | 40 | HBM2e | 1555 | 6912 | 312 | 156 | 9.7 | PCIe 4.0 x16 | 250 |
| NVIDIA RTX A6000 48GB | 48 | GDDR6 | 768 | 10752 | – | 38.7 | 1.21 | PCIe 4.0 x16 | 300 |
| NVIDIA RTX 6000 Ada 48GB | 48 | GDDR6 ECC | 960 | 18176 | 91.1 | – | – | PCIe 4.0 x16 | 300 |
| NVIDIA A10 24GB | 24 | GDDR6 | 600 | 9216 | 31.24 | 31.24 | 0.98 | PCIe 4.0 x16 | 150 |
| NVIDIA RTX A5000 24GB | 24 | GDDR6 | 768 | 8192 | – | 27.8 | 0.87 | PCIe 4.0 x16 | 230 |
| NVIDIA L4 24GB | 24 | GDDR6 | 300 | 7680 | 121 | 30.3 | 0.49 | PCIe 4.0 x16 | 72 |
*Bandwidth — Memory Bandwidth. Values “-” indicate data not available.
Based on the data presented in the table, the NVIDIA A16 64GB demonstrates a number of key advantages that distinguish it in the considered segment:
The NVIDIA A16 64GB is positioned as the optimal solution for virtualization and remote work tasks, where the key factors are user density and available memory capacity. Thanks to its 64 GB VRAM, high memory bandwidth, and balanced power consumption, it confidently outperforms its closest Ampere series competitors (A40, A10) across a set of characteristics important for the VDI segment, providing a reliable platform for modern graphics workloads.
This model is specifically designed for Virtual Desktop Infrastructure (VDI). Its key feature is enabling a high density of remote users. It is ideal for organizing remote work for employees using office applications, web browsers, and multimedia, allowing a single server to support more users compared to other solutions.
The NVIDIA A16 is equipped with an impressive memory capacity of 64 GB GDDR6. It is important to note its architectural design: the card features four graphics processing units (GPUs) on board, and the memory is distributed as 16 GB per GPU. This ensures flexibility when allocating resources for virtual machines.
Yes. The graphics card features a passive cooling system (no onboard fans) and is designed exclusively for installation in server chassis that provide powerful airflow through the card’s heatsink. Using it in standard workstations without appropriate ventilation may result in overheating.
The Thermal Design Power (TDP) of the card is 250 W. This makes it quite energy-efficient for the performance provided (4 GPUs on a single board); however, your server must have a power supply of sufficient capacity and the appropriate connection cables.
No, the NVIDIA A16 is a server accelerator and has no physical video outputs (HDMI or DisplayPort). Graphics processing is handled remotely over the network, and the image is transmitted to the client device via software.
The card installs into a PCI Express slot and supports the modern PCIe 4.0 standard. According to technical specifications, it uses a PCIe 4.0 x8 interface, ensuring high data transfer speeds with the server CPU, which is essential for the stable operation of multiple virtual desktops.
Yes, to utilize virtualization features (vGPU) and share the card’s resources among multiple users, purchasing specific NVIDIA vGPU software is required. The license type (e.g., vPC or vApps) depends on your specific tasks and usage profile.
Although the card is built on the Ampere architecture and features 5120 CUDA cores, it is optimized primarily for graphics and VDI. It is capable of handling inference tasks (running already trained neural networks), but for heavy model training (Deep Learning), it is better to consider specialized accelerators from the A100 or H100 series.
The NVIDIA A16 provides a total memory bandwidth of 800 GB/s. This high figure guarantees there are no bottlenecks during the simultaneous operation of a large number of users, ensuring smooth interface and application performance in a virtual environment.
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