# Intel's 480GB GPU targets AI inference

> Intel unveils a graphics processor with record memory capacity designed for large language models and enterprise AI workloads.
- Title: Intel's 480GB GPU targets AI inference · TechRadar | Shortify
- Summary: Intel unveils a graphics processor with record memory capacity designed for large language models and enterprise AI workloads. Intel launched the GPU…
- Keywords: intel, gpu d-series, ai inference, nvidia blackwell, lpddr5x memory, data center, large language models, technology, Intel's, 480GB, GPU, targets
- Source: TechRadar — https://techradar.com/pro/behold-intel-plans-a-480gb-gpu-a-video-card-with-more-memory-than-the-average-laptop-ssd-has-storage-but-of-course-its-for-ai-and-curiously-it-will-use-lppdr5x-not-even-gddr7
- Published: 2026-10-18T20:05:00+00:00
- Read time: 1 min
- Topics: intel, gpu d-series, ai inference, nvidia blackwell, lpddr5x memory, data center, large language models, technology
## Intel's record-breaking GPU unveiled
At the Open Compute Project Global Summit, Intel unveiled the GPU D-series with up to four hundred eighty GB of memory, designed for demanding AI inference workloads.
## Dethroning Nvidia's previous record
The D-series surpasses Nvidia's Blackwell Ultra B300, which offers two hundred eighty eight GB of HBM3e memory, as the data center GPU with the highest memory capacity.
## LPDDR5X over GDDR7
Intel chose LPDDR5X memory, commonly found in laptops, instead of GDDR7 used in modern graphics cards, prioritizing memory capacity and power efficiency for AI inference.
## Supporting massive language models
The accelerator supports large language models containing up to three hundred billion parameters on one card, while an eight GPU system accommodates models exceeding one trillion parameters.
## Intel's inference strategy
Anil Nanduri, vice president of AI Products and GTM at Intel Data Center Group, said the D-series focuses on making high capacity inference practical to deploy and economical to scale.

> With Intel GPU D-series, we're focused on making high-capacity inference practical to deploy and economical to scale.
## Performance and data center fit
The D-series rates at one point three petaflops for FP8 computation and one point five TB per second memory bandwidth.
## Put every prompt in its place
Intel plans to connect the accelerator with Xeon processors for coordinating tasks and handling workloads that do not require GPU acceleration.Nicolas Dubé said the goal is matching different workloads with the right intelligence and economics.

> Put every prompt in its place.
## Key takeaway

Intel launched the GPU D-series with four hundred eighty GB of memory, surpassing Nvidia's Blackwell Ultra B300 as the highest-capacity data center GPU for AI inference.