NVIDIA GRID K340
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA GRID K340 Specifications
GPU Core
Shader units and compute resources
The NVIDIA GRID K340 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 K340 Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the GRID K340'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 K340 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's GRID K340 Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GRID K340'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 K340 by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the GRID K340, 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 K340 Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA GRID K340 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 K340 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 K340 will perform in GPU benchmarks compared to previous generations.
Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA GRID K340 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 K340 to maintain boost clocks without throttling.
GRID K340 by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA GRID K340 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 K340. 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 K340 Product Information
Release and pricing details
The NVIDIA GRID K340 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 K340 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
About NVIDIA GRID K340
The NVIDIA GRID K340 is a dual-slot, end-of-life accelerator built for virtualized graphics workloads, not consumer gaming. Based on the 28 nm Kepler architecture and the GK107 chip, it houses 1,270 million transistors on a 118 mm² die, resulting in a transistor density of 10.8M per mm². Its benchmark percentile against all GPUs stands at 50, placing it in the median position of the performance distribution, though its average benchmark score is recorded as zero, indicating a lack of standardized performance data in this database.
Benchmark Performance
The data for the GRID K340 presents a unique challenge: there are no benchmark scores, no nearest rivals, and no delta percentages to analyze. The average benchmark score is 0, and the nearestRivals array is empty. This means a direct performance comparison against specific competing products is impossible from the available facts. The only quantitative measure is its percentile rank of 50, which signals that, in the broader context of all GPUs ever tested, it sits exactly at the midpoint. This is not a measure of raw speed but of relative standing; half of all GPUs are faster and half are slower, a statistical artifact rather than a definitive performance verdict.
Theoretical compute figures provide the only insight into its raw capabilities. The card delivers 732.7 GFLOPS of FP32 compute, a figure derived from its 384 shading units. Its pixel fill rate is 7.632 GPixel/s, and its texture rate is 30.53 GTexel/s, the latter driven by 32 texture mapping units. These numbers suggest a design focused on throughput for virtual desktop infrastructure rather than latency-sensitive frame rendering. The lack of any comparative data means that interpreting these absolute values requires caution; they are the only quantitative anchors available, but without rivals, the analysis stops at describing the hardware’s theoretical limits.
Ray Tracing and Feature Set
This accelerator does not include dedicated ray tracing hardware. The RT cores field is null, and similarly, there are no tensor cores present. This absence is consistent with its Kepler architecture, which predates the introduction of these specialized units. Consequently, any real-time ray tracing workload is unsupported at the hardware level. The feature set is instead defined by its API support, which is broad for its era. It supports DirectX 12 (11_0), meaning it can run applications built for DirectX 11 but lacks the full feature set of DirectX 12 Ultimate. OpenGL 4.6 and Vulkan 1.2.175 are also supported, offering compatibility with a range of professional and compute applications that leverage these cross-platform APIs.
The lack of tensor cores also means that any AI-accelerated features, such as deep learning super sampling or other neural network-based enhancements, are not available. The GRID K340’s feature profile is thus fundamentally about standard graphics rasterization and compute via traditional shader pipelines. For a product aimed at virtualized environments, this is a limiting factor for modern workloads that increasingly rely on hardware-accelerated AI and ray tracing, but it was a standard configuration for a GPU launched in 2013.
Memory Subsystem
The memory configuration is defined by a 1024 MB (1 GB) frame buffer of GDDR5 type. This is connected via a 128-bit memory bus, which is the interface width for data transfer. The effective memory clock is 5 Gbps, and when combined with the bus width, this yields a maximum bandwidth of 80.00 GB/s. This bandwidth figure is a critical constraint. For high-resolution rendering, particularly at 4K or multi-monitor setups, a larger memory pool and higher bandwidth are essential to avoid bottlenecks. A 1 GB buffer is now considered insufficient for modern game textures and high-resolution assets, which can easily exceed this capacity.
The 80.00 GB/s bandwidth is a moderate figure for the time of release, but it is a severe limitation for contemporary use. The combination of a 128-bit bus with 1 GB of VRAM suggests the card was never intended for high-fidelity gaming. Instead, this configuration points toward a use case where each virtual machine receives a small slice of memory for basic desktop composition and light 2D/3D acceleration. The data shows a subsystem that is adequate for its original purpose but is not competitive for any current high-resolution gaming or content creation scenario.
Power and Cooling
The GRID K340 has a thermal design power (TDP) of 225 W, which is a substantial power draw for a card that offers no display outputs. The board is dual-slot in width and has a length of 267 mm (10.5 inches). To power this, it requires a single 8-pin power connector. The system’s power supply is recommended to be a 550 W unit, which provides a baseline for the minimum system requirement. This TDP means that, despite its modest compute performance today, it generates significant heat and requires adequate cooling, particularly in a dense server environment where multiple such cards might be installed.
The absence of display outputs is a defining characteristic. This is not a card meant for direct connection to a monitor. The 225 W TDP is primarily for compute and rendering tasks, and the dual-slot cooler must dissipate that heat effectively. The recommended 550 W PSU is a system-level guideline, ensuring that the rest of the platform has enough headroom for the card’s peak consumption. For any potential deployment, the physical dimensions and power requirements are fixed constraints that cannot be ignored.
How It Compares
This section cannot be written with specific rival comparisons because the nearestRivals array is empty. There are no alternative GPUs listed, no performance deltas, and no names to analyze. The percentile rank of 50 provides the only contextual data point, but it is a global statistic, not a direct comparison. Therefore, any attempt to position the GRID K340 against a specific competitor would be speculation, which is not permitted by the data.
The absence of rivals is itself a data point. It indicates that this product does not fit into a conventional comparison framework, likely because its target market is so specific that the database lacks entries for comparable virtualization accelerators. The only valid statement is that, relative to the entire GPU landscape, it is exactly average in percentile terms, but this is not a substitute for a head-to-head comparison. Without a named rival, the analysis must rest on the absolute specifications and the global percentile.
Who Should Consider It
The GRID K340 is not a candidate for any current gaming or high-performance desktop workload. Its 1 GB memory and 80.00 GB/s bandwidth are far too limited for modern game resolutions and texture detail. The 732.7 GFLOPS FP32 performance is similarly insufficient for demanding compute tasks. The lack of RT and tensor cores further disqualifies it for any modern feature-rich application.
The only plausible scenario for considering this hardware is a legacy virtual desktop infrastructure deployment where the software stack is specifically optimized for Kepler-era GPUs. In such an environment, the 384 shading units could provide basic acceleration for office productivity, 2D applications, and light video playback. The PCIe 3.0 x16 interface ensures it can be installed in older servers. However, the 225 W TDP and the need for a 550 W PSU make it an inefficient choice for that purpose. The data suggests it is a product whose utility has passed; it is end-of-life and offers no compelling performance or efficiency advantage for any modern use case. It should only be considered by those with a specific, legacy hardware requirement that cannot be met by any other means.
Detailed benchmark scores and charts for the NVIDIA GRID K340 are below.
Benchmark Scores
No benchmark data available for this GPU.
Compare with Other GPUs
Select another GPU to compare specifications and benchmarks side-by-side.
Browse GPUs