Purpose-built for high-density AI and VDI, the A16 delivers scalable performance and high-speed responsiveness for demanding remote users.
Nvidia A16 64Gb Server Workstation Gpu Card Ai Deep Learning Training And Inference Graphics Card
Quad-GPU Density
Four independent GPU instances in a single card maximize rack efficiency, enabling high-density deployment for scalable VDI and AI inference workloads.
AI Inference Optimized
Tensor Cores accelerate deep learning deployment with dedicated INT8 acceleration, optimizing throughput for high-performance AI inference in data center environments.
NVIDIA A16 64GB GDDR6 – High-Density Server GPU for AI and VDI
Built for the Modern Data Center
The NVIDIA A16 combines 64 GB of total GDDR6 memory with a multi-instance GPU architecture, enabling simultaneous service of multiple virtual workstations or inference streams from one physical board. Designed for passively cooled server chassis, it integrates into standard data center flows without compromise on thermal performance, ensuring reliable, high-density operations for demanding workloads.
Specifications
Suite
800 Go/s
Memory bandwidth
The Full Picture.
Accelerate AI Workloads at Scale
The Nvidia A16 64Gb Server Workstation GPU Card delivers dedicated resources for AI deep learning training and inference, enabling data scientists and engineers to iterate faster on complex neural networks. Its massive 64GB memory pool accommodates larger batch sizes and more expansive models without compromising throughput.
Virtual Workstation Excellence
IT departments deploying remote graphics solutions benefit from dense, multi-user configurations. The A16 partitions GPU resources efficiently, supporting multiple concurrent virtual workstations for design, engineering, and content creation teams working from distributed locations.
Streamlined Data Center Operations
Built for server environments, this graphics card integrates seamlessly into existing infrastructure. Organizations running AI inference at the edge or in the cloud gain predictable performance with Nvidia’s enterprise-grade driver support and thermal design optimized for continuous operation.
Key Deployment Scenarios
- Large-scale deep learning model training and fine-tuning
- Real-time AI inference for recommendation engines and computer vision
- Virtual desktop infrastructure for GPU-intensive professional applications
- Research computing clusters requiring reliable, high-memory accelerators
Built by Enthusiasts.
We deployed A16 cards across our VDI farm and saw immediate density gains. Four users per card, zero contention on graphics-heavy workloads. The pass-through performance is indistinguishable from local workstations.
For our inference pipeline, the A16 hits a sweet spot between throughput and power draw. We replaced three older accelerator configs with a single server node and actually gained headroom on batch latency.
