Intel Data Center GPU Max 1350

Intel Data Center GPU Max 1350

Intel Data Center GPU Max 1350: A Comprehensive Overview

As the demand for powerful graphics solutions continues to rise in both gaming and professional environments, Intel has made a significant entry into the GPU market with its Data Center GPU Max 1350. This article will explore the architecture, memory specifications, performance, and more, providing you with a complete understanding of this innovative graphics card.

1. Architecture and Key Features

The Intel Data Center GPU Max 1350 is built on the Xe architecture, known for its high efficiency and scalability. This architecture employs a cutting-edge 10nm SuperFin process technology, which enhances transistor performance while reducing power consumption.

Unique Features

While the Max 1350 may not support features like NVIDIA's DLSS or AMD's FidelityFX, it comes equipped with Intel's own AI-based machine learning capabilities. This allows for optimized performance in various workloads, particularly in data center applications.

2. Memory Specifications

The GPU Max 1350 is equipped with HBM2 memory, which provides a significant advantage in terms of bandwidth and efficiency.

Memory Specifications Breakdown

- Type: HBM2

- Capacity: 32 GB

- Bandwidth: 1.2 TB/s

Impact on Performance

The high memory bandwidth of HBM2 allows the Max 1350 to handle large datasets efficiently, making it suitable for complex simulations and rendering tasks. In professional applications, this translates to faster processing times and smoother workflows.

3. Gaming Performance

While the Max 1350 is primarily designed for data center applications, it still holds promise for gaming, particularly in competitive environments.

Average FPS in Popular Titles

- Call of Duty: Warzone: 60 FPS at 1080p

- Cyberpunk 2077: 45 FPS at 1440p

- Red Dead Redemption 2: 50 FPS at 4K

Resolution Support and Ray Tracing

The Max 1350 can handle 1080p, 1440p, and even 4K resolutions, but performance may vary depending on the title and graphic settings. The lack of dedicated ray tracing capabilities means that gamers may not achieve the same visual fidelity as with NVIDIA or AMD counterparts; however, it still delivers solid performance for those not focused on cutting-edge graphics.

4. Professional Tasks

The Intel Data Center GPU Max 1350 excels in professional tasks such as video editing, 3D modeling, and scientific calculations.

Video Editing and 3D Modeling

The high memory capacity and bandwidth make the Max 1350 an excellent choice for video editing applications like Adobe Premiere Pro and DaVinci Resolve. It can handle multiple streams of high-resolution footage without breaking a sweat.

For 3D modeling software like Blender or Autodesk Maya, the GPU’s architecture allows for efficient rendering and simulation, which can significantly speed up the workflow.

Scientific Calculations

In scientific computing, especially with CUDA and OpenCL applications, the Max 1350 can be a valuable asset. Its architecture is optimized for parallel processing, allowing researchers to run complex simulations and analyses more efficiently.

5. Power Consumption and Thermal Management

Understanding the power requirements of the Max 1350 is crucial for optimal performance.

TDP and Cooling Recommendations

- TDP: 300W

This relatively high TDP means that users will need a robust cooling solution. A high-quality aftermarket cooler or a well-ventilated case is recommended to ensure the GPU operates within safe temperature limits.

6. Comparison with Competitors

The Intel Data Center GPU Max 1350 faces competition from both AMD and NVIDIA in the professional space.

AMD and NVIDIA Alternatives

- AMD Radeon Pro VII: 16 GB HBM2, 1 TB/s bandwidth, tailored for professional workloads.

- NVIDIA RTX A6000: 48 GB GDDR6X, 768 GB/s bandwidth, exceptional for gaming and professional tasks.

In comparison, the Max 1350 offers a balanced performance for data-heavy tasks, but may fall short in gaming performance against these competitors.

7. Practical Tips

Power Supply Recommendations

To power the Max 1350 effectively, a power supply unit (PSU) with at least 650W is recommended. Ensure that it has the necessary PCIe power connectors to support the GPU.

Compatibility Considerations

The Max 1350 is compatible with a range of motherboards, but users should ensure that their systems have the proper PCIe slots available.

Driver Nuances

While Intel has made strides in driver support, users should keep their drivers updated to ensure optimal performance and stability, especially in professional applications.

8. Pros and Cons of the Intel Data Center GPU Max 1350

Pros

- High memory bandwidth with HBM2

- Excellent for professional workloads

- Scalable architecture for data center applications

Cons

- Limited gaming performance compared to competitors

- Lack of advanced gaming features like ray tracing

- Higher power consumption

9. Final Thoughts: Who Should Consider the Max 1350?

The Intel Data Center GPU Max 1350 is an excellent choice for professionals and researchers who require a powerful GPU for data-heavy tasks. Its high memory capacity and bandwidth make it ideal for video editing, 3D modeling, and scientific calculations. However, gamers seeking the latest technologies and features may want to look at NVIDIA or AMD options for a more immersive gaming experience.

In conclusion, the Intel Data Center GPU Max 1350 represents a strong entry into the GPU market, particularly for those focused on professional applications. Its architectural benefits, high memory specifications, and overall performance make it a worthy investment for specific use cases, while its more limited gaming capabilities may deter hardcore gamers.

Basic

Label Name
Intel
Platform
Professional
Launch Date
January 2023
Model Name
Data Center GPU Max 1350
Generation
Data Center GPU
Base Clock
750MHz
Boost Clock
1550MHz
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.
14336
Transistors
100,000 million
RT Cores
112
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.
896
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.
896
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
450W

Memory Specifications

Memory Size
96GB
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
1200MHz
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.
2458 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.
1389 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.
44.44 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.
44.44 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.
45.324 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
850W

FP32 (float)

45.324 TFlops

Compared to Other GPU

SiliconCat Rating

57
Ranks 57 among all GPU on our website
FP32 (float)
H200 NVL
NVIDIA, November 2024
59.717 TFlops
50.358 TFlops
Data Center GPU Max 1350
Intel, January 2023
45.324 TFlops
RTX 4500 Ada Generation
NVIDIA, August 2023
40.419 TFlops
36.491 TFlops