Graphcore’s Post

According to an Industry Report on AI processing capacity gaps by OpenNebula Systems, generative AI could contribute between $2.6 trillion and $4.4 trillion annually to the global economy - an amount comparable to the European Unions entire GDP in 2...

In this video interview, Jeff Wittich talks about the current challenges in the #AI market, highlighting the very different needs of AI inferencing and computing.

In this AI Field Day article, Sulagna Saha discusses how Solidigm's affordable SSDs will power the future of #AI. Solidigm’s goal is to deliver an industry-leading storage portfolio to the market that not only offers flexible scaling and operational efficiency from core to edge, but also makes AI storage cheaper. Partnering with companies like Supermicro, CodeWeavers, VAST Data and NVIDIA, Solidigm is designing groundbreaking solutions that can set a course all on their own. #AIFD4

AI innovators, take note! 🧑💻 Cluster Protocol's new blog dives into the potential of the robust "Proof of Compute" and how Cluster Protocol's PoC makes #AI development cost-effective, faster & secure for absolutely EVERYONE. 🦾🚀 🔗 Check it out now 👇🏻 https://lnkd.in/grJBUuJq

We are quite excited to be mentioned in this Forbes article on the most interesting tech in the AI Hardware and Edge AI Summit! #AIHWEdgeAISummit #AI

In this AI Field Day article, Sulagna Saha discusses how Solidigm's affordable #SSDs will power the future of #AI. Solidigm’s goal is to deliver an industry-leading storage portfolio to the market that not only offers flexible scaling and operational efficiency from core to edge, but also makes AI storage cheaper. Partnering with companies like Supermicro, CodeWeavers, VAST Data and NVIDIA, Solidigm is designing groundbreaking solutions that can set a course all on their own. #AIFD4

We're solving the #1 bottleneck in generative AI adoption: the shortage of affordable, high-performance compute infrastructure. ⚡  The growing demand for AI applications is pushing data centers to their limits. By 2035, data centers could account for 7.2% of global power demand, up from 1.5% in 2023. 💸  The scarcity of affordable, high-performance computational infrastructure is a major barrier, with persistent 6-8 month lead times for GPUs and memory supply constraints. 🔄 With an estimated 20% of inference operations wasted due to repetitive LLM calls, there's a significant need to reduce inefficiencies and improve resource utilization. 🌐 The solution? A new AI superhighway system: https://lnkd.in/efeaR2D5 #AI #TechInnovation #CognitiveCaching #GenerativeAI #DataCenters #Sustainability #FutureTech #EnergyEfficiency

Azure’s compute solutions in AI.

"[EdgeCortix's] latest achievement is the SAKURA-II Accelerator, and it exemplifies a commitment to efficiency, flexibility, and real-time processing of complex models, including Generative AI, in low-power environments." From our company's inception to the development of SAKURA-II, read more about our journey from Dean Takahashi of VentureBeat: https://hubs.li/Q02Kh3XY0

Jonathan Frankle, Chief AI Scientist at Databricks, challenges us to rethink the role of human oversight in #AI progress: "If you don't have any human insight, and you don't have any process of filtering and choosing which synthetic data is most relevant, then all the model is doing is reproducing its own behavior because that's what the model is intended to do." Read the full story in Business Insider.