We’re honored to be selected as one of @eetimes #Silicon100 for the third year in a row! To learn why we’re one of Silicon Valley’s top 100 startups worth watching this year, read the complete publication at https://
tinyurl.com/ytnvejab and visit us at http://
untether.ai.
AI HARDWARE
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Untether AI Named to EETimes Silicon100 for Third Year
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Cerebras Launches Condor Galaxy 1 AI Hardware System
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Condor Galaxy 1 is up and running at the Colovore data center in Santa Clara, CA. We will be unveiling an exciting new model trained on CG-1 at ICML 2023. Follow us on Twitter and sign up to our newsletter to stay up to date! https://
info.cerebras.net/subscribe -

Cerebras: 20x Memory Advantage Enables 100B Models Natively
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Because our compute and memory are ~20x larger, even 100B models fit entirely in memory without tensor/pipeline parallel gymnastics. Our GPT implementation uses 1/20th the lines of code of Nvidia Megatron. Huge models work out of the box on Cerebras. This is why G42 picked us.
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Cerebras Cloud Democratizes AI Supercomputing Access Globally
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CG-1 will be served through the Cerebras Cloud to both G42 and external customers. Big picture – Cerebras is now providing AI supercomputing instances – the same kind that Azure provided OpenAI. Our goal is to democratize AI access so all teams can build large scale AI models.
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Cerebras CS-2 Software Stack: Single Logical Accelerator Architecture
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But specs are just specs. The real question is: how's the software stack? What's it like to program 64 CS-2 machines? This is where Cerebras truly shines – it's the only AI supercomputer that works as *one* logical accelerator.
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Cerebras CG-1 vs Nvidia Israel-1: GPU Architecture Comparison
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Let's compare CG-1 with Nvidia's Israel-1. Israel-1 has 2048 H100 GPUs. But each GPU shows up as a unique device. It's your job to break apart your model and farm them out to each GPU. On Cerebras, 1 to 64 CS-2s show as one accelerator. Just implement mini-batches and train!
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G42 Cloud Plans Nine AI Supercomputers with 36 ExaFLOPs
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G42 Cloud is the largest public cloud provider of the UAE. To expand its AI offering, we are planning not one but *nine* AI supercomputers. When complete in 2024, the full Condor Galaxy system will have 9 instances, 576 CS-2s, for a total of 36 exaFLOPs of AI compute.
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36 ExaFLOPs AI Supercomputer Outperforms Google TPU Pod
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How does 36 exaFLOPs compare to other AI supercomputers? It's 4x the performance of Google's latest TPU Pod v4 and 9x the performance of Nvidia's yet complete Israel-1.
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Cerebras Launches Condor Galaxy-1 4 Exaflop AI Supercomputer
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Today we are announcing Condor Galaxy-1: a 4 exaflop AI supercomputer built in partnership with @G42ai
. Powered by 64 Cerebras CS-2 systems, 54M cores, and 82TB of memory – it's the largest AI supercomputer we've ever built. But that's not all: CG-1 is just the start.. -
Samsung Foundry Partners with Tenstorrent and Groq on AI Semiconductor R&D
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"Samsung Foundry has recently launched Research & Development projects with American AI semiconductor startups Tenstorrent and Groq… both companies are considered promising firms in the global AI industry."