NVIDIA GRID RTX T10-2

Benchmark Performance

The NVIDIA GRID RTX T10-2 presents a unique performance profile, as the benchmark data shows a raw compute capability that is substantial but rendered largely theoretical by its intended use case. The FP32 throughput of 9.999 TFLOPS places it firmly in the upper echelon of Turing-generation hardware, while its FP16 performance of 20.00 TFLOPS (2:1) indicates strong mixed-precision capability for AI-adjacent workloads. However, the benchmark results are stark: the average benchmark score is 0, and the percentile rank against all GPUs sits at exactly 50. This is not a mid-pack performer by design; rather, the data indicates that no standardized gaming or consumer benchmarks have been successfully executed on this part, leaving the percentile as a neutral, unranked placeholder.

The texture rate of 312.5 GTexel/s and pixel rate of 89.28 GPixel/s are mathematically consistent with a GPU that has 224 TMUs and 64 ROPs running at the boost clock of 1395 MHz. These figures suggest that in a synthetic workload unfettered by memory constraints, the chip could deliver geometry and fill-rate performance comparable to high-end consumer Turing cards. Yet, the absence of any benchmark scores in the FACT PACK means that relative performance against rivals cannot be quantified through direct measurement. The data instead shows a processor that is architecturally potent but practically unvalidated in the consumer benchmarking arena.

Interpreting the FP32 figure in context: 9.999 TFLOPS is a meaningful threshold, representing near-10-teraflop compute. This places the chip theoretically ahead of many mid-range Turing and Ampere parts, but the GRID RTX T10-2 is not a gaming card. The 50th percentile position is a statistical artifact of having no recorded scores, not a verdict on its computational ceiling. For database purposes, the conclusion is that this GPU is a compute-oriented product whose benchmark profile remains undefined, making direct percentage-delta comparisons impossible. The hardware is capable, but the data cannot confirm real-world execution in any standard test suite.

How It Compares

The FACT PACK lists no nearestRivals data, which is itself a critical piece of information. Without named competitors or deltaPct values, the comparison framework must rely on architectural positioning rather than head-to-head percentages. The TU102 chip is the same silicon found in several high-end NVIDIA workstation and prosumer parts, which means the GRID RTX T10-2 shares a fundamental die with those products. However, the 2 GB memory configuration is a drastic departure from the typical TU102 implementations, which usually pair the chip with 8 GB or more.

This absence of rival data suggests that the GRID RTX T10-2 occupies a niche so specific that standard benchmarking databases have not populated comparative entries. The only meaningful internal comparison is against its own specifications: the 18,600 million transistors on a 754 mm² die, built on TSMC's 12 nm process, yield a transistor density of 24.7M per mm². That density is moderate by modern standards, but the raw transistor count is enormous, placing it in the same silicon class as the most complex Turing GPUs ever fabricated.

What this means for positioning is that the card is not competing with consumer gaming GPUs in any measurable way. It is a server-side virtualization product where the competition is other data-center accelerators that lack display outputs entirely. The lack of nearestRivals entries indicates that the database has not recorded comparable benchmark runs, so no verdict on relative standing can be issued. The analysis must conclude that the GRID RTX T10-2 is a unique entry: a full-powered TU102 core with its memory severely reduced, designed for a specific virtualized workload rather than direct competition.

Power and Cooling

The power profile of the NVIDIA GRID RTX T10-2 is notable for its efficiency given the silicon underneath. The TDP is listed at 150 W, which is remarkably low for a TU102-class processor that typically commands 250 W or more in consumer configurations. This reduction is achieved through the conservative clock strategy: the base clock of 1065 MHz and boost of 1395 MHz are both well below the peaks seen in desktop Turing parts. The data indicates that NVIDIA deliberately capped performance to fit the thermal and power envelope of a dual-slot, passive or low-airflow server chassis.

The cooling solution is specified as dual-slot, and the card requires two power connectors: one 6-pin and one 8-pin. This is an unusual combination, as most 150 W cards would operate on a single 8-pin. The presence of both connectors suggests that the board design allows for higher transient power spikes, even though the sustained TDP is capped at 150 W. The recommended PSU is 450 W, which is conservative and reflects the card's actual draw rather than its peak connector capacity. The physical length is 267 mm (10.5 inches), which is standard for a dual-slot card and should fit in most server racks or workstation towers without issue.

Crucially, the card has no display outputs. This is a virtualization-specific design where the GPU renders frames in the data center and streams them to remote clients. The power delivery system is built for 24/7 server operation, not gaming sessions. The 12 nm process from TSMC is not the most efficient node, but the low clock speeds compensate, allowing the GRID RTX T10-2 to achieve a 150 W TDP that is substantially lower than its desktop siblings. The data shows a part engineered for density and manageability in a server room, not for peak performance in a gaming rig.

FAQ

Q: What is the memory configuration of the GRID RTX T10-2?

A: It features 2 GB of GDDR6 memory on a 384-bit bus, delivering a bandwidth of 672.0 GB/s. The memory clock is 1750 MHz, which translates to 14 Gbps effective.

Q: Does this card support DirectX 12 Ultimate?

A: Yes, the API support includes DirectX 12 Ultimate (12_2), along with OpenGL 4.6 and Vulkan 1.4.

Q: What is the production status of this GPU?

A: The production status is listed as end-of-life, meaning NVIDIA has discontinued manufacturing this specific GRID variant.

Q: How many RT and tensor cores does it have?

A: The chip contains 56 RT cores and 448 tensor cores, enabling hardware-accelerated ray tracing and AI inference respectively.

Q: What is the power consumption and PSU requirement?

A: The TDP is 150 W, and the suggested PSU is 450 W. It requires one 6-pin and one 8-pin power connector.

Q: What is the physical size of the card?

A: It is a dual-slot card with a length of 267 mm, which equals 10.5 inches.

Who Should Consider It

The GRID RTX T10-2 is not a product for gamers or traditional workstation users. With no display outputs and a 2 GB memory capacity, it is categorically unsuitable for local rendering or high-resolution gaming. The benchmark data shows zero recorded scores, meaning there is no evidence of consumer-grade performance. Instead, the target audience is enterprise IT departments deploying virtual desktop infrastructure (VDI) or cloud gaming platforms where the GPU is shared among multiple virtual machines.

The 9.999 TFLOPS FP32 rating indicates that for compute workloads that fit within the 2 GB memory limit, the card can deliver substantial processing power. However, the 672.0 GB/s bandwidth is the saving grace: despite the small capacity, the 384-bit bus ensures that data transfer is not a bottleneck. This makes the card suitable for low-resolution virtualized gaming (where each virtual GPU gets a fraction of the 2 GB) or for compute tasks that are bandwidth-bound rather than capacity-bound.

Resolution and settings recommendations are constrained by the memory. At 1080p with medium-to-low settings, a virtual machine could plausibly use the card's compute power, but the 2 GB total means multiple VMs would each get less than 1 GB, severely limiting texture quality. The card is better suited to 2D desktop virtualization or light 3D CAD workloads where memory pressure is minimal. The 50th percentile rank, given the lack of scores, should be interpreted as "unranked" rather than "average." For organizations already invested in NVIDIA GRID server infrastructure, this card offers a low-power (150 W) way to increase VM density, but for anyone expecting a consumer-grade gaming experience, the data does not support that use case.

Memory Subsystem

The memory subsystem is the most distinctive and limiting aspect of the GRID RTX T10-2. It pairs 2 GB of GDDR6 with a 384-bit bus width, yielding a bandwidth of 672.0 GB/s. This is a remarkable bandwidth-to-capacity ratio: the bus width is identical to that of the most powerful Turing consumer cards, but the capacity is a fraction of what those cards typically carry. The effective memory speed of 14 Gbps is standard for GDDR6 of that era, but the 2 GB capacity is the clear bottleneck.

For high-resolution rendering, this memory configuration is prohibitive. 4K textures alone can exceed 2 GB, meaning the card would be forced to stream data constantly, and the 672.0 GB/s bandwidth, while high, cannot compensate for the lack of local storage. The data shows a 384-bit bus, which is typically reserved for 8 GB or 11 GB configurations; the decision to use only 2 GB is a deliberate choice for virtualized environments where each VM receives a small memory slice. In a VDI scenario, the 672.0 GB/s bandwidth becomes a shared resource, allowing multiple virtual GPUs to access the same high-speed memory bus without individual capacity demands.

The transistor count of 18,600 million on a 754 mm² die suggests that the memory controller is fully intact, capable of addressing a much larger frame buffer. This implies that the 2 GB limit is enforced at the board level, not the silicon level. For database purposes, the memory subsystem is the defining characteristic: high bandwidth, low capacity, and a clear indication that this GPU is built for multi-tenant workloads where per-VM memory is small but access speed is critical. The pixel rate of 89.28 GPixel/s and texture rate of 312.5 GTexel/s are achievable only if the memory subsystem can feed the cores, which it can, but only for small working sets.

Ray Tracing and Feature Set

The GRID RTX T10-2 includes 56 RT cores and 448 tensor cores, placing it in the Turing generation that introduced hardware-accelerated ray tracing to NVIDIA's lineup. The API support is comprehensive: DirectX 12 Ultimate (12_2) ensures feature-level parity with the latest gaming APIs, including variable rate shading, mesh shaders, and ray tracing. OpenGL 4.6 and Vulkan 1.4 round out the professional and compute API support, making the card technically capable of running modern graphics workloads.

The FP16 performance of 20.00 TFLOPS (2:1) is double the FP32 rate, which is the expected ratio for Turing's design. The tensor cores are the same architecture used for DLSS (Deep Learning Super Sampling) in consumer cards, but without display outputs, DLSS would only be useful in a cloud rendering context where the output is streamed. The RT cores enable real-time ray tracing, but the 2 GB memory limit severely constrains ray-traced scenes, which typically require large geometry and texture buffers.

The feature set is complete for a Turing product: the chip supports all the shading units (3584), TMUs (224), and ROPs (64) expected from a full TU102 implementation. The PCIe 3.0 x16 interface is adequate for server workloads, though not the latest standard. The absence of display outputs is the most critical feature omission, meaning the card cannot function as a standalone graphics adapter. It is purely a compute and rendering engine for virtualized environments. The DirectX 12 Ultimate support is notable because it means the card can theoretically run the latest games at high frame rates in a cloud setting, provided the server infrastructure can handle the video encoding and streaming. The data shows a fully-featured Turing GPU, stripped of display hardware and memory capacity, repurposed for enterprise virtualization.