Intel Data Center GPU Max 1550

Intel Data Center GPU Max 1550

Intel Data Center GPU Max 1550: A Comprehensive Overview

The Intel Data Center GPU Max 1550 is a powerful graphics card designed primarily for data centers and high-performance computing (HPC) environments. This article explores its architecture, memory specifications, gaming performance, suitability for professional tasks, energy consumption, and competitive positioning in the market.

1. Architecture and Key Features

The Intel Data Center GPU Max 1550 is built on the Intel Xe architecture, which is engineered to provide high efficiency and performance for various workloads. This architecture utilizes a 7nm manufacturing process, which allows for increased transistor density and improved performance per watt.

Unique Features

- Ray Tracing (RT): The Max 1550 supports real-time ray tracing, enhancing visual fidelity in supported applications and games.

- AI Acceleration: Leveraging AI capabilities, this GPU is optimized for tasks that benefit from machine learning and inference.

- Intel Deep Learning Boost: This feature accelerates deep learning workloads, making the Max 1550 a strong contender for AI and data science applications.

2. Memory Specifications

The Intel Data Center GPU Max 1550 is equipped with 16GB of HBM2 memory. HBM2 (High Bandwidth Memory) is known for its high bandwidth and reduced power consumption compared to traditional GDDR6 memory.

Memory Details

- Bandwidth: The memory bandwidth reaches up to 1.2 TB/s, which is critical for data-intensive applications.

- Impact on Performance: The large memory capacity and high bandwidth significantly improve performance in tasks that require quick access to large data sets, such as rendering and complex simulations.

3. Gaming Performance

While the Max 1550 is not primarily designed for gaming, it can still handle gaming applications at various resolutions.

Real-World Examples

- 1080p Performance: In popular titles like "Call of Duty: Warzone," users can expect around 80-100 FPS at high settings.

- 1440p Performance: At 1440p, performance may drop to 60-80 FPS, still providing a playable experience.

- 4K Performance: At 4K resolution, the Max 1550 can achieve around 30-50 FPS, demonstrating that it can handle demanding visual workloads, albeit with some limitations.

Ray Tracing Impact

Real-time ray tracing can significantly affect frame rates. In ray tracing-enabled games, the performance may decrease by 20-30% compared to non-ray traced scenarios.

4. Professional Tasks

The Max 1550 excels in professional applications, making it ideal for video editing, 3D modeling, and scientific computations.

Video Editing

- Performance: It can handle 4K video editing smoothly, with applications like Adobe Premiere Pro leveraging hardware acceleration for rendering and effects.

3D Modeling

- Support for CUDA and OpenCL: The Max 1550 provides robust support for rendering software such as Blender and Autodesk Maya, allowing for efficient rendering times and complex scene handling.

Scientific Computations

- The GPU’s architecture and memory specifications enable efficient execution of large-scale simulations and calculations in fields like molecular dynamics and fluid dynamics.

5. Energy Consumption and Thermal Management

The thermal design power (TDP) of the Intel Data Center GPU Max 1550 is rated at 300 watts.

Cooling Recommendations

- Recommended Cooling Solutions: A robust cooling solution is necessary to maintain optimal performance. Liquid cooling systems are recommended for those operating in high-load scenarios.

- Case Compatibility: Ensure that your chassis has adequate airflow and space to accommodate the GPU’s cooling requirements.

6. Competitive Comparison

When comparing the Max 1550 to competitors such as the NVIDIA A40 and AMD Radeon Pro VII, it’s essential to consider several factors.

Performance Comparison

- NVIDIA A40: The A40 excels in ray tracing and has superior support for CUDA-optimized applications, making it more suitable for deep learning tasks.

- AMD Radeon Pro VII: This card offers similar performance in creative applications but lacks some of the advanced AI features of the Max 1550.

Pricing

- The Max 1550 is competitively priced, making it an attractive option for businesses looking for a balance between performance and cost.

7. Practical Tips

Power Supply Recommendations

- Power Supply Unit (PSU): A PSU with at least 750 watts is recommended to ensure stable operation, especially if you are using additional high-power components.

Compatibility

- Motherboard Compatibility: Ensure that your motherboard supports PCIe 4.0 for optimal performance and has enough physical space for the GPU.

Driver Considerations

- Driver Updates: Regularly update your drivers to ensure compatibility with the latest applications and games, which can also help with performance improvements.

8. Pros and Cons

Pros

- High Memory Bandwidth: Ideal for data-intensive applications.

- AI and Deep Learning Optimization: Great for scientific and engineering tasks.

- Strong Performance in Gaming: Capable of handling modern titles at respectable frame rates.

Cons

- High Power Requirement: Requires a robust cooling and power solution.

- Limited Gaming Focus: Not primarily designed for gaming, which may limit performance in some titles compared to dedicated gaming GPUs.

9. Conclusion

The Intel Data Center GPU Max 1550 stands out as a powerful tool for professionals in data-heavy fields, including video editing, 3D modeling, and scientific research. It offers a unique combination of high memory bandwidth and AI acceleration, making it ideal for workloads that require quick data processing and complex calculations.

While it can deliver respectable gaming performance, those primarily interested in gaming may want to consider more gaming-focused GPUs. However, for data centers and professionals looking for a versatile GPU capable of handling demanding tasks, the Max 1550 is an excellent choice.

In summary, if your work revolves around data-intensive applications and you require robust performance with advanced features, the Intel Data Center GPU Max 1550 is certainly worth considering.

Basic

Label Name
Intel
Platform
Professional
Launch Date
January 2023
Model Name
Data Center GPU Max 1550
Generation
Data Center GPU
Base Clock
900MHz
Boost Clock
1600MHz
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.
16384
Transistors
100,000 million
RT Cores
128
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.
1024
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.
1024
L1 Cache
64 KB (per EU)
L2 Cache
408MB
Bus Interface
PCIe 5.0 x16
Foundry
Intel
Process Size
10 nm
Architecture
Generation 12.5
TDP
600W

Memory Specifications

Memory Size
128GB
Memory Type
HBM2e
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.
8192bit
Memory Clock
1600MHz
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.
3277 GB/s

Theoretical Performance

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.
1638 GTexel/s
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.
52.43 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.
52.43 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.
51.376 TFlops

Miscellaneous

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.
N/A
OpenCL Version
3.0
OpenGL
4.6
DirectX
12 (12_1)
Shader Model
6.6
Suggested PSU
1000W

FP32 (float)

51.376 TFlops

Compared to Other GPU

SiliconCat Rating

42
Ranks 42 among all GPU on our website
FP32 (float)
RTX 5880 Ada Generation
NVIDIA, January 2024
71.789 TFlops
Radeon RX 7900 XTX
AMD, November 2022
61.402 TFlops
Data Center GPU Max 1550
Intel, January 2023
51.376 TFlops
Radeon Instinct MI250
AMD, November 2021
47.093 TFlops
GeForce RTX 5090 Mobile
NVIDIA, January 2025
42.58 TFlops