What memory configuration does the Dell WG7J6 provide?

The WG7J6 features 48GB HBM2e memory with 1.6 TB/s bandwidth, ideal for large-scale AI model training and memory-intensive HPC workloads. This high-density memory eliminates data transfer bottlenecks between host CPU and GPU accelerators.

Which servers is the WG7J6 compatible with?

Validated for Dell PowerEdge R760 and R760xa servers. The PCIe Gen5 x16 interface ensures maximum bandwidth utilization in these 2U platforms designed for dense GPU acceleration in AI and HPC environments.

What workloads is this GPU optimized for?

Optimized for AI training/inference, high-performance computing simulations, and data analytics. Supports oneAPI, ray tracing, and matrix operations for TensorFlow, PyTorch, and scientific computing frameworks requiring massive memory capacity.

What is the power consumption and form factor?

300W TDP in dual-width, full-height, three-quarter length PCIe card form factor. Requires adequate server PSU capacity and airflow for sustained peak performance in rack-dense deployments.

Does it support modern programming models?

Yes, full oneAPI support enables cross-vendor portability across Intel GPU ecosystems. Hardware ray tracing acceleration benefits visualization and rendering workloads alongside compute-intensive AI/HPC applications.

What interface does the WG7J6 use?

PCIe Gen5.0 x16 providing maximum bidirectional bandwidth to modern server platforms. Backward compatible with PCIe Gen4 slots at reduced speeds for flexible deployment across generations.

WG7J6 - Dell WG7J6 Intel Max 1100 48GB HBM2e PCIe Gen5 x16 GPU

Name: Dell WG7J6 Intel Max 1100 48GB HBM2e PCIe Gen5 x16 GPU
Brand: Dell
SKU: WG7J6

WG7J6 - Dell WG7J6 Intel Max 1100 48GB HBM2e PCIe Gen5 x16 GPU | US IT Hardware

Product overview

The Dell WG7J6 is a high-performance data center GPU based on Intel Max 1100 architecture, featuring 48GB of HBM2e high-bandwidth memory with 1.6 TB/s bandwidth, optimized for AI training, inference, and high-performance computing workloads. It utilizes 56 Intel X-cores and supports ray tracing and oneAPI for broad software compatibility across frameworks like TensorFlow, PyTorch, and CUDA-alternative ecosystems. The PCIe Gen5.0 x16 interface ensures maximum bandwidth connectivity in modern servers, with a 300W power consumption in a dual-width, full-height, three-quarter length form factor for dense rack deployments. Designed for Dell PowerEdge R760 and R760xa servers, this GPU delivers extreme memory capacity for large language models, scientific simulations, and data analytics, providing superior performance per watt compared to previous generations. Key benefits include massive on-GPU memory reducing data transfer bottlenecks, hardware-accelerated AI operations, and enterprise-grade reliability for 24/7 datacenter operation. Ideal for hyperscale cloud providers, research institutions, and enterprise AI infrastructure requiring high memory density and compute acceleration.

48GB HBM2e 1.6TB/s bandwidth.
56 X-cores PCIe Gen5 x16 AI/HPC.
300W DW FHFL data center GPU.
Ray tracing & oneAPI supported.
PowerEdge R760/R760xa compatible.
Optimized for AI model training.

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Featuring

GPU Manufacturer
Manufacturer part #	WG7J6
Brand	Dell
Condition	New
Model	Max 1100
X-cores	56
GPU Model	Intel Max 1100
Ray Tracing	Yes
GPU Workload	AI / High Performance Computing
Product Line	Intel Data Center GPU Max Series
Product Type	Data Center PCIe GPU Accelerator
oneAPI Support	Yes

Compatible systems

Optimized for Dell PowerEdge R760/R760xa with Linux and VMware support. Requires PCIe Gen5-capable servers and adequate power/cooling.

Dell PowerEdge
Model: R760
Form factor: 2U Rack
Generation: 16th Gen
Full PCIe Gen5 support with latest iDRAC firmware
Dell PowerEdge
Model: R760xa
Form factor: 2U Rack
Generation: 16th Gen
GPU-dense configuration validated

Best for

AI & Machine Learning
Large-scale model training and inference for LLMs, transformers, and deep neural networks leveraging 48GB HBM2e memory and oneAPI support in TensorFlow, PyTorch environments.
High Performance Computing
Scientific simulations, CFD, FEA, and molecular dynamics workloads in HPC clusters with 56 X-cores and 1.6TB/s bandwidth for massive dataset processing.
Data Analytics
In-memory analytics, graph processing, and real-time data visualization using RAPIDS, Dask, and oneAPI for accelerated insights on large datasets.
Rendering & Visualization
Ray-traced rendering for scientific visualization, volume rendering, and complex 3D datasets in ParaView, VTK with hardware ray tracing acceleration.

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Dell WG7J6 Intel Max 1100 48GB HBM2e PCIe Gen5 x16 GPU

Product overview

Featuring

Compatible systems

Best for

Details

Shipping, warranty & returns

Customer reviews

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