GEFORCE

NVIDIA GRID M6-8Q

NVIDIA graphics card specifications and benchmark scores

8 GB
VRAM
MHz Boost
100W
TDP
256
Bus Width

NVIDIA GRID M6-8Q Specifications

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GRID M6-8Q GPU Core

Shader units and compute resources

The NVIDIA GRID M6-8Q 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.

Shading Units
1,536
Shaders
1,536
TMUs
96
ROPs
64
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GRID M6-8Q Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the GRID M6-8Q'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 M6-8Q by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

GPU Clock
722 MHz
Memory Clock
1253 MHz 5 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's GRID M6-8Q Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GRID M6-8Q'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.

Memory Size
8 GB
VRAM
8,192 MB
Memory Type
GDDR5
VRAM Type
GDDR5
Memory Bus
256 bit
Bus Width
256-bit
Bandwidth
160.4 GB/s
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GRID M6-8Q by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the GRID M6-8Q, 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.

L1 Cache
48 KB (per SMM)
L2 Cache
2 MB
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GRID M6-8Q Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA GRID M6-8Q 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.

FP32 (Float)
2.218 TFLOPS
FP64 (Double)
69.31 GFLOPS (1:32)
Pixel Rate
46.21 GPixel/s
Texture Rate
69.31 GTexel/s
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Maxwell 2.0 Architecture & Process

Manufacturing and design details

The NVIDIA GRID M6-8Q 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 M6-8Q will perform in GPU benchmarks compared to previous generations.

Architecture
Maxwell 2.0
GPU Name
GM204
Process Node
28 nm
Foundry
TSMC
Transistors
5,200 million
Die Size
398 mm²
Density
13.1M / mm²
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NVIDIA's GRID M6-8Q Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA GRID M6-8Q 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 M6-8Q to maintain boost clocks without throttling.

TDP
100 W
TDP
100W
Power Connectors
None
Suggested PSU
300 W
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GRID M6-8Q by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA GRID M6-8Q 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.

Slot Width
MXM Module
Bus Interface
PCIe 3.0 x16
Display Outputs
No outputs
Display Outputs
No outputs
🎮

NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA GRID M6-8Q. 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.

DirectX
12 (12_1)
DirectX
12 (12_1)
OpenGL
4.6
OpenGL
4.6
Vulkan
1.4
Vulkan
1.4
OpenCL
3.0
CUDA
5.2
Shader Model
6.8
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GRID M6-8Q Product Information

Release and pricing details

The NVIDIA GRID M6-8Q 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 M6-8Q by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
NVIDIA
Release Date
Aug 2015
Production
End-of-life

GRID M6-8Q Benchmark Scores

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No benchmark data available for this GPU.

About NVIDIA GRID M6-8Q

When evaluating the GRID M6-8Q from NVIDIA, you have to wonder how its 8 GB of GDDR5 memory holds up for modern workloads. It's a card built on the Maxwell 2.0 architecture, but does that 28 nm process from 2015 leave it struggling today? The focus here isn't on raw frame rates for gaming; it's a virtualized graphics solution. So, what does that mean for resolution support in a multi-user environment? Can it effectively drive multiple high-resolution displays simultaneously without a significant performance hit? The PCIe 3.0 x16 interface is standard, but is it a bottleneck for data throughput in demanding server applications? Let's consider its optimal use cases.

The thermal design power of this NVIDIA card is rated at a modest 100 W, which raises questions about its cooling requirements in a dense server rack. How does the thermal performance of the GRID M6-8Q fare under sustained load from several virtual machines? You might be asking if its architecture can handle any form of modern rendering techniques. Technologies like real-time ray tracing or AI-upscaling with DLSS are completely absent, as they arrived generations later. So, what is the real value of the 8 GB video memory pool in this context? Is it sufficient for basic CAD work or simple graphical applications in a VDI scenario? This card from NVIDIA seems purpose-built for a very specific niche.

Who is the intended user for an M6-8Q graphics card? It clearly isn't designed for a gaming rig sitting under a desk. Instead, its strengths lie in virtual desktop infrastructure (VDI) and remote workstation applications. Could a small business deploy this to provide graphical power to a team of designers or engineers? The partitioning of its GPU resources is key here, allowing multiple users to share the card's capabilities. But does the Maxwell architecture provide enough grunt for today's professional software? The lack of benchmark data makes it difficult to quantify its performance against modern alternatives. Is this NVIDIA GRID product a cost-effective solution for its intended purpose?

Considering its 2015 release date, is the NVIDIA GRID M6-8Q still a relevant piece of hardware? The landscape of virtualization has advanced significantly, with newer GPU architectures offering greater efficiency and performance. What are the main limitations someone might face when deploying this card today?

  1. Its lack of support for modern APIs and features like ray tracing.
  2. The potential bottleneck of the PCIe 3.0 interface for certain data-intensive tasks.
  3. The 8 GB frame buffer being shared among multiple users.
  4. Thermal management in a high-density server environment.
  5. Driver support and compatibility with current operating systems and hypervisors.
  6. Overall value proposition compared to newer, more efficient GPUs.
Ultimately, the utility of this specific NVIDIA GRID model depends entirely on the specific demands of the virtualized environment it serves.

The AMD Equivalent of GRID M6-8Q

Looking for a similar graphics card from AMD? The AMD Radeon RX 480 offers comparable performance and features in the AMD lineup.

AMD Radeon RX 480

AMD • 8 GB VRAM

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