NVIDIA A16 PCIe
NVIDIA graphics card specifications and benchmark scores
Ray Tracing
Tensor CoresAt a Glance
NVIDIANVIDIA A16 PCIe Specifications
GPU Core
Shader units and compute resources
The NVIDIA A16 PCIe GPU core specifications define its raw processing power for graphics and compute workloads. Shading units (also called CUDA cores, stream processors, or execution units depending on manufacturer) handle the parallel calculations required for rendering. TMUs (Texture Mapping Units) process texture data, while ROPs (Render Output Units) handle final pixel output. Higher shader counts generally translate to better GPU benchmark performance, especially in demanding games and 3D applications.
A16 PCIe Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the A16 PCIe's performance in GPU benchmarks and real-world gaming. The base clock represents the minimum guaranteed frequency, while the boost clock indicates peak performance under optimal thermal conditions. Memory clock speed affects texture loading and frame buffer operations. The A16 PCIe by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's A16 PCIe Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The A16 PCIe's memory capacity determines how well it handles high-resolution textures and multiple displays. Memory bandwidth, measured in GB/s, affects how quickly data moves between the GPU and VRAM. Higher bandwidth improves performance in memory-intensive scenarios like 4K gaming. The memory bus width and type (GDDR6, GDDR6X, HBM) significantly influence overall GPU benchmark scores.
A16 PCIe by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the A16 PCIe, reducing the need to fetch data from slower VRAM. L1 and L2 caches store frequently accessed data close to the compute units. AMD's Infinity Cache (L3) dramatically increases effective bandwidth, improving GPU benchmark performance without requiring wider memory buses. Larger cache sizes help maintain high frame rates in memory-bound scenarios and reduce power consumption by minimizing VRAM accesses.
A16 PCIe Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA A16 PCIe against other graphics cards. FP32 (single-precision) performance, measured in TFLOPS, indicates compute capability for gaming and general GPU workloads. FP64 (double-precision) matters for scientific computing. Pixel and texture fill rates determine how quickly the GPU can render complex scenes. While real-world GPU benchmark results depend on many factors, these specifications help predict relative performance levels.
A16 PCIe Ray Tracing & AI
Hardware acceleration features
The NVIDIA A16 PCIe includes dedicated hardware for ray tracing and AI acceleration. RT cores handle real-time ray tracing calculations for realistic lighting, reflections, and shadows in supported games. Tensor cores (NVIDIA) or XMX cores (Intel) accelerate AI workloads including DLSS, FSR, and XeSS upscaling technologies. These features enable higher visual quality without proportional performance costs, making the A16 PCIe capable of delivering both stunning graphics and smooth frame rates in modern titles.
Ampere Architecture & Process
Manufacturing and design details
The NVIDIA A16 PCIe is built on NVIDIA's Ampere architecture, which defines how the GPU processes graphics and compute workloads. The manufacturing process node affects power efficiency, thermal characteristics, and maximum clock speeds. Smaller process nodes pack more transistors into the same die area, enabling higher performance per watt. Understanding the architecture helps predict how the A16 PCIe will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA A16 PCIe determine PSU requirements and thermal management needs. TDP (Thermal Design Power) indicates the heat output under typical loads, guiding cooler selection. Power connector requirements ensure adequate power delivery for stable operation during demanding GPU benchmarks. The suggested PSU wattage accounts for the entire system, not just the graphics card. Efficient power delivery enables the A16 PCIe to maintain boost clocks without throttling.
A16 PCIe by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA A16 PCIe are critical for case compatibility. Card length, height, and slot width determine whether it fits in your chassis. The PCIe interface version affects bandwidth for communication with the CPU. Display outputs define monitor connectivity options, with modern cards supporting multiple high-resolution displays simultaneously. Verify these specifications against your case and motherboard before purchasing to ensure a proper fit.
NVIDIA API Support
Graphics and compute APIs
API support determines which games and applications can fully utilize the NVIDIA A16 PCIe. DirectX 12 Ultimate enables advanced features like ray tracing and variable rate shading. Vulkan provides cross-platform graphics capabilities with low-level hardware access. OpenGL remains important for professional applications and older games. CUDA (NVIDIA) and OpenCL enable GPU compute for video editing, 3D rendering, and scientific applications. Higher API versions unlock newer graphical features in GPU benchmarks and games.
A16 PCIe Product Information
Release and pricing details
The NVIDIA A16 PCIe is manufactured by NVIDIA as part of their graphics card lineup. Release date and launch pricing provide context for comparing GPU benchmark results with competing products from the same era. Understanding the product lifecycle helps evaluate whether the A16 PCIe by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA A16 PCIe
Benchmark Performance
The NVIDIA A16 PCIe occupies a peculiar position in the benchmark hierarchy: its aggregate performance percentile sits at exactly 50, placing it at the median of all recorded GPUs. This is not a card designed to lead charts; rather, it delivers a balanced, mid-pack compute profile tailored for server virtualization workloads. With an FP32 throughput of 4.493 TFLOPS and an identical FP16 rating of 4.493 TFLOPS (a 1:1 ratio), the A16 demonstrates that raw scalar performance was never its primary objective. The chip’s 1280 shading units, 40 texture mapping units, and 32 raster output pipelines form a configuration that prioritizes consistent throughput over peak burst capability.
The clock behavior reveals a modest dynamic range: base frequency of 1312 MHz boosting to 1755 MHz. That 33.8% boost headroom allows the card to respond to transient compute demands, but the sustained nature of server workloads means the card will often settle near its base clock under full load. Memory bandwidth is a more defining characteristic, with 200.1 GB/s delivered over a 128-bit GDDR6 bus running at 12.5 Gbps effective. The 16 GB frame buffer is generous for the bus width, suggesting the A16 was engineered for multi-tenant GPU virtualization where per-user memory allocation matters more than raw memory throughput.
Pixel and texture rates—56.16 GPixel/s and 70.20 GTexel/s respectively—are consistent with a card aimed at entry-level server graphics and light CAD workloads rather than high-refresh gaming. The absence of any benchmark entries in the database means there are no direct score deltas to compute against specific rivals; however, the 50th percentile ranking implies that roughly half of all GPUs in the database outperform it, while half fall behind. This positions the A16 as a neutral, predictable performer—one that will neither embarrass nor impress in comparative testing. The 250 W TDP, combined with a suggested 600 W power supply, indicates that the card’s power efficiency is moderate for the Ampere generation, though the 8 nm Samsung process node with 8,700 million transistors on a 200 mm² die (43.5 million transistors per mm²) suggests a mature, well-characterized silicon design.
Ray Tracing and Feature Set
The A16 PCIe includes 10 dedicated ray tracing cores and 40 tensor cores, confirming that Ampere’s architectural features trickled down to the server segment. However, the implementation is clearly not oriented toward real-time ray tracing in the consumer sense. The RT core count is minimal—just 10—which would struggle with complex ray-traced scenes, but for server-side rendering tasks or professional visualization, these units can accelerate selective effects without compromising the card’s primary role. The tensor cores, numbering 40, are more significant: they enable AI inference and machine learning workloads, which are increasingly common in virtualized server environments. The FP16 1:1 ratio with FP32 indicates that the tensor cores do not offer the 2:1 or higher throughput boost seen in some other Ampere parts, reinforcing the A16’s positioning as a general-purpose compute accelerator rather than a specialized AI engine.
API support is comprehensive for a server card: DirectX 12 Ultimate (feature level 12_2), OpenGL 4.6, and Vulkan 1.4. The DirectX 12 Ultimate designation means the card supports hardware ray tracing, mesh shaders, and variable rate shading at the driver level, even if the hardware resources are limited. Vulkan 1.4 support ensures compatibility with modern professional and scientific applications that leverage low-level graphics APIs. OpenGL 4.6 remains relevant for legacy enterprise software, a critical consideration in server deployments where long-term software stability is paramount. Notably, the card has no display outputs, which confirms its headless server orientation; all rendering is computed and transmitted over the network via virtualized GPU solutions.
The PCIe 4.0 x8 interface provides a 64 GB/s bidirectional link (half the bandwidth of a x16 slot), which is adequate for the card’s memory bandwidth of 200.1 GB/s, since the system interface is not the primary bottleneck for most virtualized workloads. The 8-pin EPS power connector, rather than a standard 8-pin PCIe connector, indicates the card is designed to draw power from server power supplies with EPS headers. The dual-slot form factor and 267 mm length (10.5 inches) make it compatible with most server chassis, while the 112 mm height (4.4 inches) is slightly taller than standard, requiring careful clearance checks in dense systems.
How It Compares
The A16 PCIe has no recorded nearest rivals in the database, meaning there are no direct comparative scores or delta percentages available. This absence is itself informative: the card occupies a niche that few other GPUs target. In the broader context of the 50th percentile ranking, the A16 sits below high-end consumer cards and above entry-level integrated graphics, but its specific feature set—16 GB VRAM, headless design, virtualized compute focus—makes direct comparisons with gaming or workstation cards misleading.
Against typical server GPUs from the same Ampere generation, the A16’s 4.493 TFLOPS FP32 is modest, but its 16 GB memory capacity is substantial. This trade-off suggests the card is intended for environments where memory footprint per virtual machine is the limiting factor, not raw compute throughput. The 200.1 GB/s bandwidth, while narrow on the 128-bit bus, is sufficient for desktop virtualization workloads where the GPU is rendering multiple low-resolution sessions simultaneously. The 250 W TDP is relatively high for the performance delivered, but server platforms often have ample power headroom and prioritize reliability over efficiency.
The 50th percentile ranking also implies that the A16 is roughly average when compared to all GPUs ever released, which is a notable achievement for a server-focused product—most server GPUs rank lower due to their narrow feature sets. The absence of benchmarks and rivals means that any performance claims must be inferred from the raw specifications, which consistently point to a balanced, if unremarkable, compute profile.
FAQ
Q: What is the memory configuration of the NVIDIA A16 PCIe?
A: The card features 16 GB of GDDR6 memory on a 128-bit bus, delivering 200.1 GB/s of bandwidth at 12.5 Gbps effective memory speed.
Q: Does the A16 support hardware ray tracing?
A: Yes, it includes 10 RT cores and supports DirectX 12 Ultimate (feature level 12_2), which mandates hardware ray tracing support, though the low RT core count suggests limited ray tracing performance.
Q: What is the power consumption and power connector requirement?
A: The card has a 250 W TDP and requires an 8-pin EPS power connector. NVIDIA suggests a 600 W power supply for systems using this card.
Q: What display outputs does the A16 have?
A: The card has no display outputs, making it strictly a headless server GPU designed for virtualized environments where rendering is transmitted over the network.
Q: What is the production status of the A16?
A: The card is end-of-life, with a release date of April 11, 2021. Its predecessor is Tesla Turing and its successor is Server Ada.
Q: What APIs are supported by this GPU?
A: The A16 supports DirectX 12 Ultimate (12_2), OpenGL 4.6, and Vulkan 1.4, providing broad compatibility across enterprise and professional applications.
Who Should Consider It
The A16 PCIe is a specialized product for server administrators managing virtual desktop infrastructure or GPU-accelerated compute pools. The 16 GB memory capacity is the card’s strongest asset, allowing multiple virtual machines to each receive a dedicated memory partition without exhausting the frame buffer. For workloads involving light CAD, remote desktop sessions, or 2D/3D visualization at moderate resolutions, the 4.493 TFLOPS FP32 throughput is sufficient, especially when spread across several concurrent users. The 50th percentile performance ranking means it will handle typical office productivity and basic graphics acceleration with acceptable latency, but it is not suited for high-end 3D rendering or demanding AI training.
Users running virtualized environments with mixed workloads—some compute, some graphics—will find the A16’s balanced configuration appealing. The 40 tensor cores provide a modest AI inference capability that can handle lightweight machine learning models, while the 10 RT cores offer occasional acceleration for ray-traced effects in professional visualization tools. The 200.1 GB/s bandwidth is the limiting factor: at 1080p, multiple virtual desktops can operate smoothly, but 4K sessions or texture-heavy applications will likely hit memory bandwidth ceilings. The card’s 250 W TDP and dual-slot design require server chassis that can accommodate a taller-than-standard 112 mm height, and the 8-pin EPS connector mandates a power supply with that specific header.
For organizations standardizing on Ampere-based server GPUs, the A16 fills a gap between lower-memory entry cards and higher-compute flagship parts. Its end-of-life status means availability is shrinking, but for legacy deployments that require a known quantity, the card’s 8 nm Samsung process and 8,700 million transistor count represent a mature, well-understood design. The absence of display outputs is a non-issue for server use, and the PCIe 4.0 x8 interface is adequate for the card’s bandwidth needs. Ultimately, the A16 is for buyers who prioritize memory capacity and virtualized multi-user support over raw performance—its 50th percentile ranking ensures it will never be a bottleneck for typical enterprise workloads, but it will never be a performance leader either.
Detailed benchmark scores and charts for the NVIDIA A16 PCIe are below.
Benchmark Scores
No benchmark data available for this GPU.
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