A16 GPU
The NVIDIA A16 is a multi-GPU card with 4 GPUs designed for graphics-intensive virtual desktop infrastructure (VDI) and cloud gaming.

Cloud Pricing
Cheapest on Vultr — 7% below avgPrices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 64GB total VRAM with ECC support across four GPU dies provides substantial memory capacity for multi-user scenarios
- Quad-GPU board design enables support for up to 64 concurrent users per card
- Advanced video encoding with H.265, VP9, and AV1 codec support delivers efficient streaming capabilities
- Third-generation Tensor Cores provide AI acceleration capabilities for inference workloads
- Second-generation RT Cores enable hardware-accelerated ray tracing for graphics applications
- PCI Express Gen 4 x16 interface provides modern connectivity standards
- Passive thermal cooling design reduces acoustic noise and cooling complexity
- 250W power consumption may be significant for high-density deployments with multiple cards
- 2021 release date means it predates newer architectures like Ada Lovelace and Hopper with improved efficiency
- Mid-tier performance positioning limits suitability for high-end compute or training workloads
- Specialized VDI focus makes it potentially overkill for basic virtualization needs
- Ampere architecture lacks some optimizations found in newer GPU generations
Key Features
About A16
Common Use Cases
The A16 is optimized for virtual desktop infrastructure deployments where multiple users require dedicated graphics resources. Its quad-GPU design and 64GB total VRAM make it well-suited for VDI providers serving knowledge workers, designers using CAD applications, or organizations running graphics-rich virtual desktops. The card's video encoding capabilities and support for up to 64 concurrent users make it effective for virtual workstation environments, remote work scenarios, and educational institutions requiring scalable graphics virtualization. The Tensor Cores also enable AI inference workloads in virtualized environments, though the A16 is not positioned for large-scale training tasks.
Full Specifications
Hardware
- Manufacturer
- NVIDIA
- Architecture
- Ampere
- CUDA Cores
- 2,560
- TDP
- 250W
Memory & Performance
- VRAM
- 64GB
- Memory Bandwidth
- 800 GB/s
- FP32
- 17.5 TFLOPS
- FP16
- 35 TFLOPS
- Release
- 2021
Frequently Asked Questions
How much does an A16 cost per hour in the cloud?
A16 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the A16 best used for?
The A16 excels in virtual desktop infrastructure and multi-user graphics virtualization scenarios. Its quad-GPU design supports up to 64 concurrent users, making it ideal for VDI deployments, virtual workstations, and organizations requiring scalable graphics resources for remote work or educational environments.
How does the A16 compare to other virtualization-focused GPUs?
The A16's unique quad-GPU board design with 64GB total VRAM provides higher user density than single-GPU solutions like the T4, while its specialized VDI features distinguish it from compute-focused cards like the A100. The Ampere architecture offers better performance per user than previous-generation virtualization GPUs, though newer architectures provide improved efficiency.