Graphcore

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IPU Server₁₆

IP‍U‌ SERVER‌‍S FOR AI TR‌‍A‌INING AND‍ INFER‌‍ENC‌E

Make new breakthroughs in machine intelligence with 8 Graphcore C2 PCIe cards connected with high-speed IPU-Links™ in industry standard OEM systems from Dell and Inspur

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Dell DSS8440 IPU Server

The Dell DSS8440 IPU Server is a 4U rack-mounted chassis with eight Graphcore C2 PCIe cards, fully connected with high speed IPU-Links™.

Designed for both training and inference, this IPU Server is ideal for experimentation, pre-production pilots and commercial deployment.

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Inspur NF5568M5 IPU Server

Tackle your most challenging machine learning workloads for both training and inference with the new Inspur NF5568M5 IPU Server.

An industry standard 5U chassis with eight C2 PCIe cards tightly coupled with high speed IPU-Links™ AI innovators have 16 Colossus™ Mk1 GC2 IPUs delivering 1.6 petaFLOPS of AI compute at their disposal for experiments and research, pilots and full production deployment. Available for purchase today.

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IPU Cloud And Server Solutions

Azure IPU Preview

The Graphcore IPU preview on Microsoft Azure is open for customers focused on developing new breakthroughs in machine intelligence.

OEM IPU Servers

Enterprise customers building on-premise AI compute with the Mk1 Colossus IPU can choose between the IPU Server₁₆from Dell or Inspur.

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IPU DevCloud

Try before you buy. Our MK1 IPU DevCloud lets customers evaluate IPUs free of charge. Hosted securely in the US by Cirrascale and by Kingsoft in China.

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STATE OF THE ART PERFORMANCE

Natural Language Processing - BERT

The IPU delivers over 25% faster time-to-train with the BERT language model, training BERT-Base in 36.3 hours with seven C2 IPU-Processor PCIe cards, each with two IPUs, in an IPU Server system. For BERT inference, we see more than 2x higher throughput at the lowest latency resulting in unprecedented speedups.

Image Classification - ResNeXt

Graphcore C2 IPU-Processor PCIe card achieves 7x higher throughput at 24x lower latency compared to a leading alternative processor. High throughput at the lowest possible latency is key in many of the important use cases today.

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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

See record-breaking time to train with modern high accuracy computer vision models, like ResNext and EfficientNet. Explore new, large Natural Language Processing models that take full advantage of the IPU's native sparsity support.

Training & Inference Support

High-performance training and low-latency inference capability on the same hardware improves utilisation and flexibility in the cloud and on-premise, significantly enhancing 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 tight integration of 16 IPUs in the server while Infiniband support allows IPU Servers to work together in a datacenter.

OUR TECHNOLOGY

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The Intelligence Processing Unit (IPU)

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Poplar® Software Stack