GEFORCE

NVIDIA GeForce RTX 4070 Ti SUPER AD102

NVIDIA graphics card specifications and benchmark scores

16 GB
VRAM
2610
MHz Boost
285W
TDP
256
Bus Width
Ray Tracing 🤖Tensor Cores

NVIDIA GeForce RTX 4070 Ti SUPER AD102 Specifications

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GeForce RTX 4070 Ti SUPER AD102 GPU Core

Shader units and compute resources

The NVIDIA GeForce RTX 4070 Ti SUPER AD102 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
8,448
Shaders
8,448
TMUs
264
ROPs
96
SM Count
66
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RTX 4070 Ti SUPER AD102 Clock Speeds

GPU and memory frequencies

Clock speeds directly impact the GeForce RTX 4070 Ti SUPER AD102'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 4070 Ti SUPER AD102 by NVIDIA dynamically adjusts frequencies based on workload, temperature, and power limits to maximize performance while maintaining stability.

Base Clock
2340 MHz
Base Clock
2,340 MHz
Boost Clock
2610 MHz
Boost Clock
2,610 MHz
Memory Clock
1313 MHz 21 Gbps effective
GDDR GDDR 6X 6X

NVIDIA's GeForce RTX 4070 Ti SUPER AD102 Memory

VRAM capacity and bandwidth

VRAM (Video RAM) is dedicated memory for storing textures, frame buffers, and shader data. The GeForce RTX 4070 Ti SUPER AD102'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
16 GB
VRAM
16,384 MB
Memory Type
GDDR6X
VRAM Type
GDDR6X
Memory Bus
256 bit
Bus Width
256-bit
Bandwidth
672.3 GB/s
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GeForce RTX 4070 Ti SUPER AD102 by NVIDIA Cache

On-chip cache hierarchy

On-chip cache provides ultra-fast data access for the RTX 4070 Ti SUPER AD102, 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
128 KB (per SM)
L2 Cache
48 MB
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RTX 4070 Ti SUPER AD102 Theoretical Performance

Compute and fill rates

Theoretical performance metrics provide a baseline for comparing the NVIDIA GeForce RTX 4070 Ti SUPER AD102 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)
44.10 TFLOPS
FP64 (Double)
689.0 GFLOPS (1:64)
FP16 (Half)
44.10 TFLOPS (1:1)
Pixel Rate
250.6 GPixel/s
Texture Rate
689.0 GTexel/s

GeForce RTX 4070 Ti SUPER AD102 Ray Tracing & AI

Hardware acceleration features

The NVIDIA GeForce RTX 4070 Ti SUPER AD102 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 4070 Ti SUPER AD102 capable of delivering both stunning graphics and smooth frame rates in modern titles.

RT Cores
66
Tensor Cores
264
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Ada Lovelace Architecture & Process

Manufacturing and design details

The NVIDIA GeForce RTX 4070 Ti SUPER AD102 is built on NVIDIA's Ada Lovelace 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 4070 Ti SUPER AD102 will perform in GPU benchmarks compared to previous generations.

Architecture
Ada Lovelace
GPU Name
AD102
Process Node
5 nm
Foundry
TSMC
Transistors
76,300 million
Die Size
609 mm²
Density
125.3M / mm²
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NVIDIA's GeForce RTX 4070 Ti SUPER AD102 Power & Thermal

TDP and power requirements

Power specifications for the NVIDIA GeForce RTX 4070 Ti SUPER AD102 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 4070 Ti SUPER AD102 to maintain boost clocks without throttling.

TDP
285 W
TDP
285W
Power Connectors
1x 16-pin
Suggested PSU
600 W
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GeForce RTX 4070 Ti SUPER AD102 by NVIDIA Physical & Connectivity

Dimensions and outputs

Physical dimensions of the NVIDIA GeForce RTX 4070 Ti SUPER AD102 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
Triple-slot
Length
310 mm 12.2 inches
Height
140 mm 5.5 inches
Bus Interface
PCIe 4.0 x16
Display Outputs
1x HDMI 2.13x DisplayPort 1.4a
Display Outputs
1x HDMI 2.13x DisplayPort 1.4a
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NVIDIA API Support

Graphics and compute APIs

API support determines which games and applications can fully utilize the NVIDIA GeForce RTX 4070 Ti SUPER AD102. 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
8.9
Shader Model
6.8
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GeForce RTX 4070 Ti SUPER AD102 Product Information

Release and pricing details

The NVIDIA GeForce RTX 4070 Ti SUPER AD102 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 4070 Ti SUPER AD102 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
Jun 2024
Launch Price
799 USD
Production
End-of-life
Predecessor
GeForce 30
Successor
GeForce 50

GeForce RTX 4070 Ti SUPER AD102 Benchmark Scores

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No benchmark data available for this GPU.

About NVIDIA GeForce RTX 4070 Ti SUPER AD102

The NVIDIA GeForce RTX 4070 Ti SUPER, built on the advanced Ada Lovelace architecture, offers a significant arsenal of CUDA cores and dedicated RT and Tensor cores. This hardware foundation is crucial for accelerating a wide range of professional applications that support CUDA and OpenCL compute. But how does this translate into real-world productivity gains? The substantial 16 GB of high-speed GDDR6X memory provides ample headroom for large datasets, yet one must wonder if the memory bandwidth is sufficient for the most demanding computational tasks. This GPU promises to handle complex simulations and data processing, but is the performance uplift over previous generations substantial enough to justify an upgrade for compute-focused workflows?

For content creators, the GeForce RTX 4070 Ti SUPER appears to be a compelling tool, especially with features like AV1 encoding accelerating video export times. Applications for 3D rendering, video editing, and graphic design should see a noticeable performance improvement. However, does its positioning as a consumer-grade card introduce any limitations compared to professional workstation GPUs in terms of software certification and precision? The raw power is evident, but how does it fare in sustained rendering sessions where stability is as important as speed? The potential for faster iteration times is clear, but is the ecosystem of creative software fully optimized to leverage the specific strengths of the Ada Lovelace architecture?

Driver support and stability are perennial concerns in professional environments. NVIDIA's track record with its Studio Driver branch is generally strong, providing optimized performance and enhanced reliability for creative applications. But with a new GPU like the RTX 4070 Ti, how quickly are these specialized drivers refined post-launch to eliminate early adopter issues? Can IT departments confidently deploy these cards expecting minimal downtime from driver-related instability? The promise of regular updates is there, but the initial maturity of the driver stack for this specific model is a key consideration for any business looking to integrate it into their workflow.

Considering multi-GPU setups, the landscape has shifted significantly. With the demise of NVIDIA SLI for gaming, the utility of multiple GeForce cards for productivity is now primarily through applications that explicitly support multi-GPU compute. Does your primary software, such as a specific renderer or simulation package, efficiently distribute workloads across multiple GPUs? While the 4070 Ti SUPER could theoretically be used in such a configuration, the practical benefits are highly application-dependent. Is the investment in a second GPU and a capable power supply more cost-effective than opting for a single, more powerful workstation card? The potential for scalability exists, but it demands careful software evaluation to avoid redundant hardware.

The AMD Equivalent of GeForce RTX 4070 Ti SUPER AD102

Looking for a similar graphics card from AMD? The AMD Radeon RX 7800M offers comparable performance and features in the AMD lineup.

AMD Radeon RX 7800M

AMD • 12 GB VRAM

View Specs Compare

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