Max 1550 GPU
The Intel Data Center GPU Max 1550 is designed for HPC and AI workloads with high memory bandwidth and FP64 performance.

Cloud Pricing
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 128 GB HBM2e memory provides substantial capacity for large models and datasets
- 3,276 GB/s memory bandwidth enables high-throughput data processing
- 1,024 Intel XMX engines deliver dedicated AI acceleration hardware
- oneAPI support offers unified programming across Intel hardware ecosystem
- 128 ray tracing units provide hardware-accelerated rendering capabilities
- 839 TFLOPS FP16 performance supports mixed-precision AI training
- PCIe Gen 5 x16 interface provides modern connectivity standards
- 600W TDP requires substantial cooling and power infrastructure
- Limited software ecosystem compared to CUDA-native applications
- Released in 2022, predating current-generation GPU architectures
- Intel XMX engines may require code optimization for peak performance
- Ray tracing capabilities are secondary to primary HPC/AI focus
Key Features
About Max 1550
Common Use Cases
The Max 1550 targets high-performance computing and AI workloads that require large memory capacity and benefit from Intel's oneAPI ecosystem. Its 128 GB HBM2e makes it suitable for training large language models, scientific simulations with extensive datasets, and memory-intensive inference tasks. The substantial memory bandwidth supports data-parallel workloads, while the Intel XMX engines accelerate mixed-precision AI training and inference. Organizations already invested in Intel's software tools and seeking alternatives to NVIDIA's ecosystem may find the Max 1550 appropriate for compute clusters and AI development platforms.
Full Specifications
Hardware
- Manufacturer
- Intel
- Architecture
- Xe HPC
- TDP
- 600W
Memory & Performance
- VRAM
- 128GB
- Memory Bandwidth
- 3276 GB/s
- FP16
- 839 TFLOPS
- FP64
- 52 TFLOPS
- Release
- 2022
Frequently Asked Questions
How much does a Max 1550 cost per hour in the cloud?
Max 1550 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the Max 1550 best used for?
The Max 1550 excels at AI training and inference workloads requiring large memory capacity, scientific computing with substantial datasets, and applications that can leverage Intel's oneAPI programming model. Its 128 GB HBM2e memory and Intel XMX engines make it particularly suitable for large language model training and memory-intensive HPC simulations.
How does the Max 1550 compare to NVIDIA's datacenter GPUs?
The Max 1550 offers competitive memory capacity at 128 GB HBM2e and provides an alternative to CUDA through Intel's oneAPI ecosystem. However, it lacks the mature software stack and widespread application support of NVIDIA's platform. Performance characteristics differ due to architectural differences between Intel's XMX engines and NVIDIA's tensor cores, requiring workload-specific benchmarking for accurate comparisons.