NVIDIA GRID K560Q
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA GRID K560Q Specifications
GRID K560Q GPU Core
Shader units and compute resources
The NVIDIA GRID K560Q 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.
GRID K560Q Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the GRID K560Q'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 GRID K560Q by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's GRID K560Q Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GRID K560Q'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.
GRID K560Q by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the GRID K560Q, 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.
GRID K560Q Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA GRID K560Q 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.
Kepler Architecture & Process
Manufacturing and design details
The NVIDIA GRID K560Q is built on NVIDIA's Kepler 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 GRID K560Q will perform in GPU benchmarks compared to previous generations.
NVIDIA's GRID K560Q Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA GRID K560Q 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 GRID K560Q to maintain boost clocks without throttling.
GRID K560Q by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA GRID K560Q 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 GRID K560Q. 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.
GRID K560Q Product Information
Release and pricing details
The NVIDIA GRID K560Q 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 GRID K560Q by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
GRID K560Q Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA GRID K560Q
NVIDIA GRID K560Q is a workstation-oriented graphics card from 2014, built on the Kepler architecture with the GK104 chip. It targets virtual desktop infrastructure and cloud graphics workloads, not consumer gaming, and its data reflects that specialized positioning.
Benchmark Performance
The benchmark data for the NVIDIA GRID K560Q presents a unique case, as the FACT PACK shows an average benchmark score of zero and no entry in the benchmarks list. This indicates that no standardized performance metrics have been recorded for this card in the database. The percentile ranking sits at 50, which places it exactly at the median of all GPUs tracked, but this is a positional figure rather than a performance score derived from testing.
The absence of benchmark scores means the raw compute specifications become the primary indicators of capability. The card delivers 2.289 TFLOPS of FP32 compute performance, which is generated by 1,536 shading units operating at the listed memory clock of 1250 MHz (5 Gbps effective). The pixel rate is 23.84 GPixel/s, and the texture rate is 95.36 GTexel/s. These figures suggest a card that was designed for moderate parallel workloads rather than high-end rendering, consistent with its grid-computing purpose.
Since the nearest rivals list is empty, there are no direct percentage deltas to report against competing products. The percentile rank of 50 is the only comparative anchor available, and it implies that roughly half of all GPUs in the database are faster and half are slower. However, this ranking is based on the database’s overall distribution, which includes consumer gaming cards, so the GRID K560Q’s position reflects its niche status rather than a head-to-head comparison with similar workstation accelerators.
How It Compares
Without entries in the nearest rivals field, the GRID K560Q cannot be positioned against specific competing products in this analysis. The database has not recorded any direct comparison scores for this card, so all relative performance statements would be speculative. The only quantitative comparison available is the percentile rank of 50, which places it at the midpoint of all GPUs in the database. This suggests that while it is not a top-tier performer, it is also not among the slowest cards tracked. For context, the card’s compute capabilities — 2.289 TFLOPS FP32, 1536 shading units, and 128 TMUs — are consistent with a mid-range Kepler-era part, but the absence of rival data prevents any precise competitive analysis.
Power and Cooling
The GRID K560Q carries a TDP of 225 W, which is a moderate power draw for a dual-slot card from its era. NVIDIA recommends a 550 W power supply for systems using this card, a figure that accounts for the rest of the system’s components alongside the GPU. The card is dual-slot in width, meaning it will occupy two expansion slots in a chassis, and its length is 267 mm (10.5 inches), which requires adequate clearance in the case. The power connector requirements are not listed in the FACT PACK, so no specific pin configuration can be stated. The 28 nm process node from TSMC, with 3,540 million transistors on a 294 mm² die, indicates the power efficiency characteristics of the Kepler architecture, but the thermal solution specifics are not provided beyond the dual-slot form factor.
FAQ
Q: What is the release date of the NVIDIA GRID K560Q?
A: The release date is July 1, 2014, and the production status is listed as end-of-life.
Q: What is the launch MSRP of this card?
A: The launch MSRP is 3,599 USD.
Q: Does the GRID K560Q support DirectX 12?
A: Yes, it supports DirectX 12 at feature level 11_0, along with OpenGL 4.6 and Vulkan 1.2.175.
Q: What is the memory configuration?
A: The card has 4 GB of GDDR5 memory on a 256-bit bus, providing 160.0 GB/s of bandwidth.
Q: What display outputs does the card have?
A: The card has no display outputs, indicating it is designed for compute or virtualized workloads rather than direct display connection.
Q: What is the transistor count and die size?
A: The GK104 chip contains 3,540 million transistors on a 294 mm² die, manufactured on a 28 nm process by TSMC.
Ray Tracing and Feature Set
The GRID K560Q does not include dedicated ray tracing cores or tensor cores, as these are not listed in the FACT PACK. This is consistent with its Kepler architecture, which predates the introduction of hardware-accelerated ray tracing in NVIDIA’s consumer and professional lines. The card’s feature set is defined by its API support: DirectX 12 (feature level 11_0), OpenGL 4.6, and Vulkan 1.2.175. The DirectX 12 support at 11_0 feature level is a baseline implementation, not the full DirectX 12 Ultimate feature set. Vulkan 1.2.175 support allows for modern compute and graphics workloads, but without RT cores, any ray tracing workload would rely on software or compute shaders, which would be inefficient given the card’s FP32 throughput of 2.289 TFLOPS. The card’s role is clearly compute-oriented, as evidenced by the absence of display outputs, and its feature set is suited for virtualized GPU environments where API compatibility matters more than cutting-edge graphics effects.
Memory Subsystem
The GRID K560Q is equipped with 4 GB of GDDR5 memory, connected via a 256-bit bus. The memory clock is 1250 MHz, which translates to 5 Gbps effective data rate, yielding a total bandwidth of 160.0 GB/s. This bandwidth figure is modest by modern standards, but for a 2014 card, it provided adequate throughput for its intended workloads. The 256-bit bus width is a mid-range configuration, balancing memory capacity and bandwidth. For high-resolution applications, 4 GB of VRAM is sufficient for 1080p and 1440p workloads in many scenarios, but it would be limiting for 4K textures or large datasets. The 160.0 GB/s bandwidth is the key constraint; it means that memory-intensive tasks, such as large frame buffers or multi-sample anti-aliasing, would see performance degradation at higher resolutions. The card’s compute tasks, which are its primary use case, would benefit from the 128 TMUs and 32 ROPs, but the memory bandwidth is the bottleneck for any workload that streams significant data across the bus. The pixel rate of 23.84 GPixel/s and texture rate of 95.36 GTexel/s are consistent with the memory subsystem’s capabilities, indicating a balanced design for its era, but not one built for extreme resolutions.
The AMD Equivalent of GRID K560Q
Looking for a similar graphics card from AMD? The AMD Radeon RX 480 offers comparable performance and features in the AMD lineup.
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