Graphcore created a completely new processor, the IPU, specifically designed for AI compute. The IPU's unique architecture lets AI researchers undertake entirely new types of work to drive the next advances in machine intelligence.
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Graphcore's Intelligence Processing Unit (IPU) hardware and Poplar® software helps innovators create next generation machine intelligence solutions. The IPU is the first processor to be designed specifically for Machine Intelligence and offers significant performance advantages compared to other computing hardware, typically used inartificial intelligence. In addition to outperforming other technologies at today’s most common workloads, the Graphcore IPU has been architected to excel at next-generation AI applications – including highly sparse models.
The Boston Graphcore Poplar Server is fully qualified by Graphcore as the default server to host for IPU-POD
systems.
The IPU-M2000 is the fundamental compute engine for IPU-based machine intelligence, built with the powerful Colossus MK2 IPU.
For innovators making new AI breakthroughs, the Graphcore IPU-POD16 opens up a new world of machine intelligence innovation.
IPU-POD64 delivers ultimate flexibility to maximise all available space and power in your datacentre, no matter how it is provisioned.
The IPU-M2000 has a flexible, modular design, so you can start with one and scale to thousands. Directly connect a single system to an existing CPU server, add up to eight connected IPU-M2000s or with racks of 16 tightly interconnected IPU-M2000s in IPU-POD64 systems, grow to supercomputing scale thanks to the high-bandwidth, near-zero latency IPU-Fabric™ interconnect architecture built into the box.
To date accelerations of algorithms have revolved around SIMD architecture GPGPU, causing many classes of problems to be ‘rephrased’ in a manner to suit it. They work well, but when state needs to be considered, such as MCMC (Markov Chain Monte Carlo), natural language processing, neural net modelling and many other increasingly distributed, federated, forms of calculations, other novel approaches such as MIMD need to be considered.
Our experts will discuss how the Graphcore Intelligence Processing Unit (IPU) enables finance firms to use models of greater complexity and iterate faster than is currently possible with legacy processors.
The IPU-M2000 is a revolutionary next-generation system solution built with the Colossus MK2 IPU. It packs 1 PetaFlop of AI compute and up to 450GB Exchange-Memory™ in a slim 1U blade for the most demanding machine intelligence workloads. Designed from the ground up for high performance training and inference workloads, the IPU-M2000 unifies your AI infrastructure for maximum datacentre utilisation.
IPU-POD16 opens up a new world of machine intelligence innovation. Ideal for exploration and experimentation, the IPU-POD16 is the perfect new tool to develop concepts and pilots consolidating both training and inference in one affordable system.
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IPU-POD64 delivers ultimate flexibility to maximise all available space and power in your datacentre, no matter how it is provisioned. IPU-POD64 brings together world-class IPU compute with a choice of best in class datacenter technologies and systems in flexible, pre-qualified configurations, to ensure your datacentre is operating with maximum efficiency and performance.
The Boston Graphcore Poplar Server is fully qualified by Graphcore as the default server to host for IPU-POD systems. The Boston Poplar is a head node for Graphcore IPU-POD confugurations, currently available in IPUPOD16 configuration with 4 x IPU-M2000s, as well as an IPU-POD64 configuration with 16 x IPU-M2000s.
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To help our clients make informed decisions about new technologies, we have opened up our research & development facilities and actively encourage customers to try the latest platforms using their own tools and if necessary together with their existing hardware. Remote access is also available
In unserem ersten Teil der Webcast-Serie zu Video Surveillance zeigten wir allen Teilnehmern auf, wie der aktuelle, technologische Stand auf dem Video Surveillance-Markt ist. Wir beleuchteten, ob sich bereits Standards herausgebildet haben, wie diese aussehen und welche Einsatzpotenziale es aktuell gibt.