Max 1100 GPU
The Intel Data Center GPU Max 1100 is a PCIe form factor GPU for HPC and AI acceleration.
Cloud Pricing
Prices updated daily. Last check: 4/8/2026
Performance
Strengths & Limitations
- 48 GB HBM2e memory capacity provides substantial working memory for large models
- 1229 GB/s memory bandwidth supports memory-intensive workloads
- 419 TFLOPS FP16 performance enables competitive AI training capabilities
- 448 Intel XMX engines deliver dedicated matrix computation acceleration
- oneAPI support provides unified programming model across Intel hardware
- PCIe Gen 5 x16 interface offers high-bandwidth host connectivity
- 56 Xe-cores provide parallel processing capability for diverse workloads
- 300W power consumption requires robust cooling infrastructure
- Limited ecosystem maturity compared to established GPU vendors
- Intel's first-generation data center GPU may have software optimization gaps
- Xe HPC architecture lacks the extensive software library ecosystem of competitors
- Ray tracing capabilities may be underutilized in typical data center workloads
Key Features
About Max 1100
Common Use Cases
The Max 1100 is well-suited for organizations invested in Intel's hardware ecosystem seeking GPU acceleration for AI and HPC workloads. Its 48 GB memory capacity makes it appropriate for training medium to large neural networks and running inference on models that exceed the memory limits of smaller GPUs. The substantial memory bandwidth and XMX engines support AI training tasks, while the Xe Vector Engines handle traditional HPC computations. The oneAPI support makes it particularly attractive for mixed workloads that span Intel CPUs and GPUs, providing a unified development environment.
Full Specifications
Hardware
- Manufacturer
- Intel
- Architecture
- Xe HPC
- TDP
- 300W
Memory & Performance
- VRAM
- 48GB
- Memory Bandwidth
- 1229 GB/s
- FP16
- 419 TFLOPS
- FP64
- 26 TFLOPS
- Release
- 2022
Frequently Asked Questions
How much does a Max 1100 cost per hour in the cloud?
Max 1100 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.
What is the Max 1100 best used for?
The Max 1100 excels at AI training and inference workloads that require substantial memory capacity, leveraging its 48 GB HBM2e and 448 XMX engines. It's also suitable for HPC applications that can utilize Intel's oneAPI ecosystem and benefit from high memory bandwidth.
How does the Max 1100 compare to NVIDIA's data center GPUs?
The Max 1100 offers competitive memory capacity at 48 GB and provides an alternative to NVIDIA's ecosystem through Intel's oneAPI. However, it represents Intel's first-generation data center GPU with a smaller software ecosystem compared to NVIDIA's mature CUDA platform and established optimization libraries.