NVIDIA GRID M60-8Q
NVIDIA graphics card specifications and benchmark scores
At a Glance
NVIDIANVIDIA GRID M60-8Q Specifications
GRID M60-8Q GPU Core
Shader units and compute resources
The NVIDIA GRID M60-8Q 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 M60-8Q Clock Speeds
GPU and memory frequencies
Clock speeds directly impact the GRID M60-8Q'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 M60-8Q by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.
NVIDIA's GRID M60-8Q Memory
VRAM capacity and bandwidth
VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GRID M60-8Q'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 M60-8Q by NVIDIA Cache
On-chip cache hierarchy
On-chip cache provides ultra-fast data access for the GRID M60-8Q, 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 M60-8Q Theoretical Performance
Compute and fill rates
Theoretical performance metrics provide a baseline for comparing the NVIDIA GRID M60-8Q 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.
Maxwell 2.0 Architecture & Process
Manufacturing and design details
The NVIDIA GRID M60-8Q is built on NVIDIA's Maxwell 2.0 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 M60-8Q will perform in GPU benchmarks compared to previous generations.
NVIDIA's GRID M60-8Q Power & Thermal
TDP and power requirements
Power specifications for the NVIDIA GRID M60-8Q 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 M60-8Q to maintain boost clocks without throttling.
GRID M60-8Q by NVIDIA Physical & Connectivity
Dimensions and outputs
Physical dimensions of the NVIDIA GRID M60-8Q 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 M60-8Q. 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 M60-8Q Product Information
Release and pricing details
The NVIDIA GRID M60-8Q 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 M60-8Q by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.
GRID M60-8Q Benchmark Scores
No benchmark data available for this GPU.
About NVIDIA GRID M60-8Q
Benchmark Performance
The NVIDIA GRID M60-8Q presents a unique performance profile within the benchmark database. With a percentile rank of 50 against all GPUs, it sits exactly at the median of the entire spectrum, neither a high-end contender nor a low-end entry. The benchmark data shows an average score of 0, which indicates that this card is not designed for conventional consumer benchmarking workloads, but rather for its specialized virtualized environment role. Its FP32 compute throughput of 4.825 TFLOPS places it firmly in the mid-range tier of its generation, but the architecture's age is the primary limiting factor in modern workloads.
The raw specifications tell a story of a card built for parallel throughput rather than raw gaming speed. The 2048 shading units, 128 texture mapping units, and 64 ROPs are configured for sustained compute tasks. The pixel rate of 75.39 GPixel/s and texture rate of 150.8 GTexel/s are modest by contemporary standards, but they were competitive within the Maxwell 2.0 generation's professional segment. The boost clock of 1178 MHz against a base clock of 557 MHz shows a significant dynamic range, nearly 2.1x, which suggests the card can aggressively scale performance when thermal headroom permits. This wide boost window is characteristic of the Maxwell architecture's power management capabilities.
The data reveals that the GRID M60-8Q is fundamentally a multi-user virtualization product, not a single-user gaming card. Its lack of any display outputs confirms this design intent, it is meant to be installed in a server and accessed remotely. Consequently, the benchmark scores from the database are not directly comparable to consumer gaming GPUs in the traditional sense. Instead, the performance metrics should be interpreted as per-user compute slices within a virtualized environment. The 50th percentile ranking indicates that in aggregate compute capability, it sits right in the middle of all GPUs ever benchmarked, but this statistic must be contextualized: the card's performance is delivered to multiple simultaneous users, not a single workstation.
How It Compares
The nearestRivals data in the FACT PACK is empty, which means the database has not identified direct performance peers for this card within its comparison framework. This absence is itself informative, it suggests the GRID M60-8Q occupies a niche that does not overlap neatly with consumer or even most professional GPUs. The card's virtualized nature and 8 GB GDDR5 frame buffer are tailored for cloud workloads rather than local rendering, making direct score-to-score comparisons with traditional GPUs misleading.
Without rival scores and deltaPct values to reference, the comparison must rely on architectural positioning. The GM204 chip with 5,200 million transistors on a 398 mm² die is the same silicon family used in several consumer Maxwell products, but the GRID variant's firmware and driver stack are optimized for shared virtualized environments. The 28 nm TSMC process node and 13.1M transistors per mm² density are standard for its era. The data shows this card is a server-side solution, so any meaningful comparison would need to account for the number of concurrent virtual machines it supports, which is not captured in the database's benchmark fields.
The production status is listed as end-of-life, and the release date of August 2015 places it in a specific historical context. The lack of a successor or predecessor in the database further isolates this product from the normal upgrade path analysis. For the benchmark database's purposes, this card is a standalone data point, its nearest rivals are effectively other enterprise virtualization accelerators, which are not tracked in the same scoring system.
Who Should Consider It
The benchmark data indicates that the GRID M60-8Q is suitable for organizations deploying virtual desktop infrastructure (VDI) rather than individual consumers. With 8 GB of GDDR5 memory and a 256-bit bus delivering 160.4 GB/s bandwidth, this card can handle multiple concurrent medium-resolution virtual desktops. The memory configuration is well-suited for office productivity workloads, where each virtual machine requires a fraction of the total frame buffer. The 2048 shading units provide adequate compute for basic 3D acceleration in virtualized CAD or design applications, though the 4.825 TFLOPS FP32 throughput suggests it is not intended for heavy simulation or high-fidelity rendering tasks.
For users accessing virtual desktops at 1080p resolution, the card's pixel rate of 75.39 GPixel/s is sufficient to drive multiple displays simultaneously across different sessions. The texture rate of 150.8 GTexel/s supports moderate texture-heavy workloads in virtualized environments. However, the data does not support recommendations for 4K or high-refresh-rate virtual gaming, the bandwidth of 160.4 GB/s and the older Maxwell architecture would struggle with the memory demands of modern high-resolution textures. The card's 50th percentile ranking suggests it offers a balanced compute profile that is neither exceptional nor deficient for its intended server role.
The end-of-life production status means new deployments would rely on existing inventory or secondary markets, but the technical specifications remain valid for legacy VDI environments. The dual-slot form factor and 267 mm length (10.5 inches) allow it to fit in standard server chassis, though the lack of display outputs means it must be paired with a separate management or console GPU in the host system.
FAQ
Q: What is the maximum API support for this card?
A: The GRID M60-8Q supports DirectX 12 (12_1), OpenGL 4.6, and Vulkan 1.4, making it compatible with modern software APIs despite its 2015 release.
Q: How much memory does this card have and what type?
A: It features 8 GB of GDDR5 memory on a 256-bit bus, providing 160.4 GB/s of memory bandwidth.
Q: What is the power consumption and PSU requirement?
A: The card has a TDP of 225 W and requires a 550 W power supply. It uses a single 8-pin power connector.
Q: Does this card have display outputs?
A: No, the GRID M60-8Q has no display outputs. It is designed exclusively for virtualized environments where rendering is delivered remotely.
Q: What is the compute performance in floating-point operations?
A: The card delivers 4.825 TFLOPS of FP32 compute performance, with a pixel rate of 75.39 GPixel/s and texture rate of 150.8 GTexel/s.
Q: What is the production status of this GPU?
A: The GRID M60-8Q is end-of-life, having been released in August 2015.
Ray Tracing and Feature Set
The FACT PACK lists no ray tracing cores and no tensor cores for the GRID M60-8Q. This is consistent with its Maxwell 2.0 architecture, which predates hardware-accelerated ray tracing and AI-accelerated tensor operations. The card relies entirely on its 2048 shading units for all compute tasks, including any ray-traced effects that could be handled in software, though the performance would be severely limited. The DirectX 12 (12_1) API support includes the feature level 12_1, which covers conservative rasterization and rasterizer-ordered views, but not the DXR ray tracing API that requires newer hardware.
The feature set is therefore defined by its virtualization capabilities rather than graphics innovations. The GM204 chip's 64 ROPs and 128 TMUs provide solid rasterization throughput for the era, but the card's true value is in its multi-user server deployment model. The absence of tensor cores means no DLSS or AI-based upscaling is possible, and the lack of RT cores means any ray-traced workloads would be entirely software-based, rendering them impractical for real-time use. The Vulkan 1.4 API support is notable for a card of this age, indicating continued driver maturity, but it does not compensate for the architectural limitations in modern graphics features.
Power and Cooling
The GRID M60-8Q has a TDP of 225 W, which is moderate for a dual-slot enterprise card of its generation. The suggested power supply is 550 W, providing ample headroom for the card's peak demands. Power is delivered through a single 8-pin connector, simplifying installation in server environments where power cabling is often constrained. The dual-slot cooling solution is designed for server chassis with high static pressure airflow, and the 267 mm length (10.5 inches) fits standard rack-mounted configurations.
The thermal design allows the boost clock to reach 1178 MHz from a base of 557 MHz, indicating that the cooling system is capable of sustaining elevated clocks under load. However, in densely packed server chassis with multiple GPUs, the thermal environment can impact sustained boost behavior. The 28 nm process node from TSMC is relatively power-hungry by modern standards, but the 225 W TDP is within the acceptable range for the card's intended deployment scenarios. The end-of-life status means thermal management considerations are now more about maintaining existing infrastructure than optimizing new installations.
Memory Subsystem
The memory subsystem is built around 8 GB of GDDR5 memory operating at 1253 MHz, which translates to 5 Gbps effective data rate. The 256-bit memory bus yields a total bandwidth of 160.4 GB/s. This configuration is adequate for the card's virtualized multi-user role, where each concurrent session may allocate a portion of the frame buffer. The 8 GB capacity is evenly distributed across the 256-bit bus, providing balanced access for the 2048 shading units.
For high-resolution workloads, the 160.4 GB/s bandwidth is a limiting factor when compared to newer GDDR6 or HBM solutions, but within the virtual desktop context, it is sufficient for 1080p and entry-level 1440p per-session rendering. The memory clock of 1253 MHz is relatively conservative, which helps with thermal management in dense server deployments. The pixel rate of 75.39 GPixel/s is directly tied to the memory bandwidth and ROP count, and the data shows a coherent design where the 64 ROPs can be fully fed by the available bandwidth. In multi-user scenarios, the memory subsystem must be shared across all active virtual machines, so the effective per-user bandwidth decreases with concurrency, though the database does not provide specific multi-user performance metrics.
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