The Dell DSS8440 Graphcore IPU Server
The Intelligence Processing Unit (IPU) has been designed from the ground up to support new breakthroughs in machine intelligence. Together with our production ready Poplar® software stack, it gives developers a powerful, efficient, scalable, and high performance solution which enables new innovations in AI. Customers can tackle their most difficult AI workloads by accelerating more complex models and developing entirely new techniques.
Read the product briefIPU Cloud And Server Solutions
STATE OF THE ART PERFORMANCE
Bert-base: Training
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ResNext-101: Inference
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Faster Time to Results
Delivering a new level of fine-grained, parallel processing across thousands of independent processing threads on each individual IPU. The whole machine intelligence model is held inside the IPU with In-Processor Memory to maximise memory bandwidth and deliver high throughput for faster time to train and the lowest latency inference.
Enabling innovation
State of the art performance with today's large language models and conventional CNNs and dramatic breakthroughs with new higher accuracy models, like ResNext and probabilistic systems. Legacy processors struggle with non-aligned and sparse data accesses which are critical for next generation models. The IPU has been designed to support complex data access efficiently and at much higher speeds.
Training and Inference Flexibility
High performance training and low latency inference on the same hardware, improving utilisation and flexibility in the cloud and on-premise, vastly improving the total cost of ownership.
Designed for the Future
The IPU is designed to scale. Models are getting larger and demand for AI compute is scaling exponentially. High bandwidth IPU-Links™ allow multiple IPUs to be clustered, supporting huge models. Legacy architectures struggle on non-aligned and sparse data accesses. The IPU has been designed to support complex data access efficiently and at much higher speeds, which will be critical to run gigantic, next generation models efficiently
OUR TECHNOLOGY
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