Advantages
- Higher Boost Clock: 2520MHz (1300MHz vs 2520MHz)
- Larger Memory Size: 48GB (8GB vs 48GB)
- Higher Bandwidth: 1152 GB/s (224.0 GB/s vs 1152 GB/s)
- More Shading Units: 18432 (2048 vs 18432)
Basic
Intel
Label Name
NVIDIA
August 2023
Launch Date
-
Mobile
Platform
Desktop
Arc A570M
Model Name
TITAN Ada
Alchemist
Generation
GeForce 40
900MHz
Base Clock
2235MHz
1300MHz
Boost Clock
2520MHz
PCIe 4.0 x8
Bus Interface
PCIe 4.0 x16
Unknown
Transistors
76,300 million
16
RT Cores
144
256
Tensor Cores
Tensor Cores are specialized processing units designed specifically for deep learning, providing higher training and inference performance compared to FP32 training. They enable rapid computations in areas such as computer vision, natural language processing, speech recognition, text-to-speech conversion, and personalized recommendations. The two most notable applications of Tensor Cores are DLSS (Deep Learning Super Sampling) and AI Denoiser for noise reduction.
576
128
TMUs
Texture Mapping Units (TMUs) serve as components of the GPU, which are capable of rotating, scaling, and distorting binary images, and then placing them as textures onto any plane of a given 3D model. This process is called texture mapping.
576
TSMC
Foundry
TSMC
6 nm
Process Size
5 nm
Generation 12.7
Architecture
Ada Lovelace
Memory Specifications
8GB
Memory Size
48GB
GDDR6
Memory Type
GDDR6X
128bit
Memory Bus
The memory bus width refers to the number of bits of data that the video memory can transfer within a single clock cycle. The larger the bus width, the greater the amount of data that can be transmitted instantaneously, making it one of the crucial parameters of video memory. The memory bandwidth is calculated as: Memory Bandwidth = Memory Frequency x Memory Bus Width / 8. Therefore, when the memory frequencies are similar, the memory bus width will determine the size of the memory bandwidth.
384bit
1750MHz
Memory Clock
1500MHz
224.0 GB/s
Bandwidth
Memory bandwidth refers to the data transfer rate between the graphics chip and the video memory. It is measured in bytes per second, and the formula to calculate it is: memory bandwidth = working frequency × memory bus width / 8 bits.
1152 GB/s
Display and Media
Portable Device Dependent
Outputs
1x HDMI 2.1
3x DisplayPort 1.4a
3x DisplayPort 1.4a
Theoretical Performance
83.20 GPixel/s
Pixel Rate
Pixel fill rate refers to the number of pixels a graphics processing unit (GPU) can render per second, measured in MPixels/s (million pixels per second) or GPixels/s (billion pixels per second). It is the most commonly used metric to evaluate the pixel processing performance of a graphics card.
483.8 GPixel/s
166.4 GTexel/s
Texture Rate
Texture fill rate refers to the number of texture map elements (texels) that a GPU can map to pixels in a single second.
1452 GTexel/s
10.65 TFLOPS
FP16 (half)
An important metric for measuring GPU performance is floating-point computing capability. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy.
92.90 TFLOPS
-
FP64 (double)
An important metric for measuring GPU performance is floating-point computing capability. Double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy, while single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
1452 GFLOPS
5.218
TFLOPS
FP32 (float)
An important metric for measuring GPU performance is floating-point computing capability. Single-precision floating-point numbers (32-bit) are used for common multimedia and graphics processing tasks, while double-precision floating-point numbers (64-bit) are required for scientific computing that demands a wide numeric range and high accuracy. Half-precision floating-point numbers (16-bit) are used for applications like machine learning, where lower precision is acceptable.
91.042
TFLOPS
Miscellaneous
-
SM Count
Multiple Streaming Processors (SPs), along with other resources, form a Streaming Multiprocessor (SM), which is also referred to as a GPU's major core. These additional resources include components such as warp schedulers, registers, and shared memory. The SM can be considered the heart of the GPU, similar to a CPU core, with registers and shared memory being scarce resources within the SM.
144
2048
Shading Units
The most fundamental processing unit is the Streaming Processor (SP), where specific instructions and tasks are executed. GPUs perform parallel computing, which means multiple SPs work simultaneously to process tasks.
18432
-
L1 Cache
128 KB (per SM)
8MB
L2 Cache
96MB
75W
TDP
800W
1.3
Vulkan Version
Vulkan is a cross-platform graphics and compute API by Khronos Group, offering high performance and low CPU overhead. It lets developers control the GPU directly, reduces rendering overhead, and supports multi-threading and multi-core processors.
1.3
3.0
OpenCL Version
3.0
4.6
OpenGL
4.6
-
CUDA
8.9
12 Ultimate (12_2)
DirectX
12 Ultimate (12_2)
-
Power Connectors
2x 16-pin
64
ROPs
The Raster Operations Pipeline (ROPs) is primarily responsible for handling lighting and reflection calculations in games, as well as managing effects like anti-aliasing (AA), high resolution, smoke, and fire. The more demanding the anti-aliasing and lighting effects in a game, the higher the performance requirements for the ROPs; otherwise, it may result in a sharp drop in frame rate.
192
6.6
Shader Model
6.7
-
Suggested PSU
1200W
Benchmarks
FP32 (float)
/ TFLOPS
Arc A570M
5.218
TITAN Ada
91.042
+1645%
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