NVIDIA GeForce RTX 2080 SUPER Max-Q
NVIDIA graphics card specifications and benchmark scores
NVIDIA GeForce RTX 2080 SUPER Max-Q Specifications
GeForce RTX 2080 SUPER Max-Q GPU Core
Shader units and compute resources
The NVIDIA GeForce RTX 2080 SUPER Max-Q 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.
RTX 2080 SUPER Max-Q Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the GeForce RTX 2080 SUPER Max-Q'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 GeForce RTX 2080 SUPER Max-Q by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's GeForce RTX 2080 SUPER Max-Q Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GeForce RTX 2080 SUPER Max-Q'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.
GeForce RTX 2080 SUPER Max-Q by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the RTX 2080 SUPER Max-Q, 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.
RTX 2080 SUPER Max-Q Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA GeForce RTX 2080 SUPER Max-Q 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.
GeForce RTX 2080 SUPER Max-Q Ray Tracing & AI
Hardware acceleration features
The NVIDIA GeForce RTX 2080 SUPER Max-Q 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 RTX 2080 SUPER Max-Q capable of delivering both stunning graphics and smooth frame rates in modern titles.
Turing Architecture & Process
Manufacturing and design details
The NVIDIA GeForce RTX 2080 SUPER Max-Q is built on NVIDIA's Turing 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 RTX 2080 SUPER Max-Q will perform in GPU benchmarks compared to previous generations.
NVIDIA's GeForce RTX 2080 SUPER Max-Q Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA GeForce RTX 2080 SUPER Max-Q 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 GeForce RTX 2080 SUPER Max-Q to maintain boost clocks without throttling.
GeForce RTX 2080 SUPER Max-Q by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA GeForce RTX 2080 SUPER Max-Q 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 GeForce RTX 2080 SUPER Max-Q. 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.
GeForce RTX 2080 SUPER Max-Q Product Information
Release and pricing details
The NVIDIA GeForce RTX 2080 SUPER Max-Q 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 GeForce RTX 2080 SUPER Max-Q by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
GeForce RTX 2080 SUPER Max-Q Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA GeForce RTX 2080 SUPER Max-Q
The NVIDIA GeForce RTX 2080 SUPER Max-Q delivers robust CUDA and OpenCL compute capabilities, leveraging its Turing architecture to enable efficient parallel processing for workloads like machine learning training, scientific simulations, and GPU-accelerated rendering. While not part of NVIDIA’s dedicated data center or professional visualization lineup, the RTX 2080 SUPER Max-Q integrates 3072 CUDA cores and supports advanced features such as RTX ray tracing acceleration and Tensor Core-based AI upscaling (DLSS), making it a viable option for developers and researchers using consumer-grade hardware. OpenCL 1.2 compatibility ensures cross-platform flexibility for compute-heavy applications, though its 12 nm fabrication and 80 W TDP prioritize thermal efficiency over raw computational throughput compared to desktop equivalents. The GPU’s ability to offload complex calculations from the CPU is particularly beneficial in mobile workstations where power constraints limit traditional multi-GPU setups. However, its performance in compute benchmarks is generally lower than the full-length RTX 2080 SUPER or workstation-class Quadro cards, which remain gold standards for certified HPC environments. For users needing a balance of mobility and CUDA/OpenCL performance, the NVIDIA RTX 2080 SUPER Max-Q remains a capable, albeit entry-level, choice for light to moderate parallel computing tasks.
For content creation workflows, the RTX 2080 SUPER Max-Q offers a compelling blend of performance and portability, especially in video editing, 3D modeling, and high-resolution rendering scenarios. Its 8 GB of GDDR6 memory and 975 MHz boost clock provide sufficient bandwidth to handle 4K and 8K timelines in Adobe Premiere Pro or DaVinci Resolve, though heavy proxy generation or multi-layer compositing may strain the mobile GPU’s memory. The Max-Q design emphasizes sustained performance under thermal constraints, making it suitable for professionals who require a reliable mobile workstation GPU without excessive power draw. Applications like Blender and Maya can still benefit from its real-time ray tracing and AI denoising features, which Turing’s architecture brings to consumer-grade silicon. While not certified for ICA (Integrated Core Architecture) or ProKarim benchmarks, the GeForce RTX 2080 SUPER Max-Q maintains compatibility with major creative software stacks, ensuring smooth operation for tasks such as texture baking and color grading. Its HDR support and Display Stream Compression (DSC) also enhance external monitor connectivity, a critical factor for creators working with multiple displays.
Although the NVIDIA RTX 2080 SUPER Max-Q lacks formal professional certifications like those found in Quadro or Tesla products, it is often validated by software vendors for general-purpose workstation use. Tools from Adobe, Autodesk, and Dassault Systèmes recognize its Turing-based capabilities, offering optimized GPU acceleration for tasks such as simulation, rendering, and video encoding. The absence of ICA or ProKarim compliance means it may not meet the rigorous reliability standards of enterprise-grade systems, but its drivers include "Studio" optimizations to reduce instability risks in creative and productivity applications. This GPU is also supported by NVIDIA’s professional driver stack, ensuring compatibility with OpenGL and other APIs used in engineering software. However, users deploying it in mission-critical environments should consider workloads that do not demand real-time precision or ultra-long rendering sessions, as the Max-Q variant is tuned more for efficiency than sustained peak performance. The RTX 2080 SUPER Max-Q thus bridges the gap between enthusiast and professional hardware, appealing to hybrid creators who value mobility over formal validation.
In workstation builds, the NVIDIA GeForce RTX 2080 SUPER Max-Q is frequently paired with high-end mobile CPUs like the Intel Core i7 or AMD Ryzen Threadripper to deliver a compact yet powerful system for creators and light professionals. Its 80 W TDP and Max-Q design allow integration into ultra-thin laptops and 15- to 17-inch portable workstations without requiring aggressive cooling solutions, making it ideal for users who prioritize form factor. To maximize its potential, systems should include at least 32 GB of RAM, an NVMe SSD for fast data access, and a high-resolution display to leverage the GPU’s 7680 x 4320 output capabilities. The PCIe 3.0 x16 interface ensures adequate bandwidth for external GPU docks, though latency and power limitations may hinder full desktop performance parity. Released in April 2020, the RTX 2080 SUPER Max-Q remains a relevant choice for mobile workstations targeting 4K editing, 3D visualization, and AI-assisted content creation, but its 12 nm process and GDDR6 memory may lag behind newer workstation GPUs with HBM or GDDR6X. When matched with a suitable chassis and cooling, this GPU can deliver a portable yet capable platform for professionals who need to balance mobility and performance without compromising on Turing-era features like real-time ray tracing.
The AMD Equivalent of GeForce RTX 2080 SUPER Max-Q
Looking for a similar graphics card from AMD? The AMD Radeon RX 5700M offers comparable performance and features in the AMD lineup.
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