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NVIDIA GRID RTX T10-4

NVIDIA graphics card specifications and benchmark scores

4 GB
VRAM
1395
MHz Boost
150W
TDP
384
Bus Width
Ray Tracing 🤖Tensor Cores

NVIDIA GRID RTX T10-4 Specifications

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GRID RTX T10-4 GPU Core

Shader units and compute resources

The NVIDIA GRID RTX T10-4 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
3,584
Shaders
3,584
TMUs
224
ROPs
64
SM Count
56
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GRID RTX T10-4 Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the GRID RTX T10-4'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 RTX T10-4 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
1065 MHz
Base Clock
1,065 MHz
Boost Clock
1395 MHz
Boost Clock
1,395 MHz
Memory Clock
1750 MHz 14 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's GRID RTX T10-4 Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GRID RTX T10-4'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
4 GB
VRAM
4,096 MB
Memory Type
GDDR6
VRAM Type
GDDR6
Memory Bus
384 bit
Bus Width
384-bit
Bandwidth
672.0 GB/s
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GRID RTX T10-4 by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the GRID RTX T10-4, 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
64 KB (per SM)
L2 Cache
6 MB
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GRID RTX T10-4 Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA GRID RTX T10-4 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)
9.999 TFLOPS
FP64 (Double)
312.5 GFLOPS (1:32)
FP16 (Half)
20.00 TFLOPS (2:1)
Pixel Rate
89.28 GPixel/s
Texture Rate
312.5 GTexel/s

GRID RTX T10-4 Ray Tracing & AI

Hardware acceleration features

The NVIDIA GRID RTX T10-4 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 GRID RTX T10-4 capable of delivering both stunning graphics and smooth frame rates in modern titles.

RT Cores
56
Tensor Cores
448
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Turing Architecture & Process

Manufacturing and design details

The NVIDIA GRID RTX T10-4 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 GRID RTX T10-4 will perform in GPU benchmarks compared to previous generations.

Architecture
Turing
GPU Name
TU102
Process Node
12 nm
Foundry
TSMC
Transistors
18,600 million
Die Size
754 mm²
Density
24.7M / mm²
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NVIDIA's GRID RTX T10-4 Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA GRID RTX T10-4 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 RTX T10-4 to maintain boost clocks without throttling.

TDP
150 W
TDP
150W
Power Connectors
1x 6-pin + 1x 8-pin
Suggested PSU
450 W
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GRID RTX T10-4 by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA GRID RTX T10-4 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
Dual-slot
Length
267 mm 10.5 inches
Bus Interface
PCIe 3.0 x16
Display Outputs
No outputs
Display Outputs
No outputs
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NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA GRID RTX T10-4. 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 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
OpenGL
4.6
OpenGL
4.6
Vulkan
1.4
Vulkan
1.4
OpenCL
3.0
CUDA
7.5
Shader Model
6.8
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GRID RTX T10-4 Product Information

Release and pricing details

The NVIDIA GRID RTX T10-4 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 RTX T10-4 by NVIDIA represents good value at current market prices. Predecessor and successor information aids in tracking generational improvements and planning future upgrades.

Manufacturer
NVIDIA
Production
End-of-life

GRID RTX T10-4 Benchmark Scores

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No benchmark data available for this GPU.

About NVIDIA GRID RTX T10-4

The compute capability of the NVIDIA GRID RTX T10-4 is anchored in its Turing‑based silicon, fabricated on a 12 nm process that balances power efficiency with raw throughput. With a base clock of 1,065 MHz and a boost frequency that can reach 1,395 MHz, the GPU can sustain high instruction rates across a range of workloads, from dense matrix operations to mixed‑precision AI inference. Its 4 GB of GDDR6 memory, while modest by modern workstation standards, offers sufficient bandwidth for most professional data‑science pipelines that do not require massive model sizes. The 150 W thermal design power ensures the card can be integrated into standard rack‑mount servers without demanding exotic cooling solutions. PCIe 3.0 ×16 connectivity provides a reliable conduit for data transfer, minimizing latency when interfacing with CPU‑side processes. In environments where power envelope and form factor are constrained, the device delivers a predictable and repeatable performance envelope that can be modeled for capacity planning. When it comes to 3D rendering, the GRID RTX T10-4 leverages the same RT cores that power consumer‑grade RTX cards, enabling hardware‑accelerated ray tracing for realistic lighting and shadow effects. Although the 4 GB memory pool limits the size of texture atlases and complex scene graphs, the GDDR6 interface mitigates bandwidth bottlenecks during high‑resolution viewport playback. The architecture’s dedicated Tensor cores, even at a modest count, can be tapped by modern render engines that support AI‑denoising, reducing post‑process times dramatically. Users will notice smooth interactive frame rates in CAD and BIM applications, provided that scene complexity stays within the card’s memory budget. The device’s boost clock ensures that shader execution remains competitive during intensive rasterization passes. Because the card adheres to the same driver ecosystem as larger RTX offerings, developers can rely on consistent API behavior across the ecosystem. The overall rendering experience is therefore a blend of real‑time fidelity and manageable resource consumption, suitable for virtual workstation deployments. Driver stability for the T10-4 has been a focal point of NVIDIA’s enterprise support strategy, with regular Studio and GRID driver releases that prioritize security and backward compatibility. The vendor’s commitment to long‑term driver updates means that even in the absence of public benchmark data, the card receives optimizations for the latest versions of DirectX, OpenGL, and Vulkan. Enterprise customers benefit from NVIDIA’s Virtual GPU (vGPU) software stack, which abstracts the physical GPU into multiple virtual instances without sacrificing deterministic performance. The card’s firmware is signed and validated at boot, reducing the risk of driver‑induced system crashes in mission‑critical environments. Moreover, the driver suite includes comprehensive telemetry tools that allow administrators to monitor temperature, power draw, and utilization in real time. Stability is further reinforced by a rigorous validation process that tests the GPU across a wide range of professional applications before each driver release. Consequently, the T10-4 presents a reliable platform for studios and data centers that cannot afford unexpected downtime. In multi‑GPU configurations, the RTX T10-4 can be paired using NVIDIA’s SLI bridge, although the modest memory size makes it most effective for compute scaling rather than raw raster throughput. When two or more units are linked, the system can distribute rendering tiles or partition AI inference batches, thereby improving overall job completion times. The PCIe 3.0 ×16 lanes on each card ensure that inter‑GPU communication does not become a bottleneck, especially when the host platform supports sufficient bandwidth for simultaneous data streams. However, developers must design their workloads to be aware of the 4 GB per‑GPU memory ceiling, as memory is not pooled across cards in a conventional SLI setup. NVIDIA’s NVLink technology is not present on this model, so the scaling efficiency relies on software‑level parallelism and careful workload decomposition. In practice, many virtual desktop infrastructure (VDI) deployments find that deploying several RTX T10-4 units in a single chassis yields linear performance gains for independent user sessions. Proper driver configuration and the use of NVIDIA’s Multi‑Process Service (MPS) can further smooth contention for GPU resources, ensuring that each process receives a fair share of compute cycles. This makes the RTX T10-4 a versatile building block for scalable, enterprise‑grade GPU farms.

The AMD Equivalent of GRID RTX T10-4

Looking for a similar graphics card from AMD? The AMD Radeon RX 7700 offers comparable performance and features in the AMD lineup.

AMD Radeon RX 7700

AMD • 16 GB VRAM

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