Cerebras Announces DocChat: GPT-4 Level Conversational QA Trained in a Few Hours DocChat is our latest document-based conversational AI model series, that includes two models: Cerebras Llama3-DocChat – An LLM that was trained to GPT-4 level document-based Q&A
@cerebras
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Cerebras Accelerates GenAI Progress in Life Sciences Healthcare
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Cerebras Accelerates GenAI progress across Life Sciences and Healthcare Generative AI is transforming the life sciences and healthcare industries. Cerebras is helping leaders like GSK and Mayo develop AI breakthroughs by training their own models for molecular design, drug
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Cerebras WSE Achieves 210x Speedup Over NVIDIA H100
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Cerebras Wafer-Scale Engine Achieves 210x Speedup Over NVIDIA H100 in Carbon Capture Simulations Researchers from Rice University and TotalEnergies have demonstrated a groundbreaking 210x speedup using the Cerebras Wafer-Scale Engine (WSE) over the NVIDIA H100 GPU in carbon
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AI Hardware & Edge AI Summit 2024 Sponsorship Announcement
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Join Us at the AI Hardware & Edge AI Summit 2024! We're excited to be sponsoring this year's AI Hardware and Edge AI summit, taking place September 9-12 in San Jose, CA. Swing by our booth to experience groundbreaking AI innovations and meet the brilliant minds behind
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Cerebras Co-Founder Analyzes NVIDIA Blackwell Chip Delays
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Cerebras Co-Founder Deconstructs NVIDIA Blackwell Delays From intricate interposer designs to alignment issues and thermal expansion complications, Cerebras Co-Founder and Chief System Architect Jean-Philippe Fricker provides a detailed look into the hurdles faced by GPU
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Cerebras Wafer-Scale Engine Outperforms GPUs by 95x
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Cerebras Outperforms GPUs by 95x and CPUs by 570x in Stencil Computations Researchers at Rice University and TotalEnergies have developed the StencilPy framework, which optimizes stencil computations across various hardware architectures. On the Cerebras Wafer-Scale Engine
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Cerebras MediSwift: 2.5x Faster Biomedical LLM Training
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Cerebras is presenting MediSwift at #ACL 2024: Training unstructured sparse LLMs for BioMedicine 2.5x faster Join us at the Association for Computational Linguistics (ACL 2024) in Bangkok, Thailand, where @vithursant19 will present our accepted paper, "MediSwift: Efficient
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Exponential compute demands force AI paradigm shift
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At some point the math doesn't work… unless we flip the compute paradigm.
— Cerebras (@cerebras) 8 août 2024
GPT-4 requires 40,000x more compute than models from a few years ago. This exponentially increasing need for compute is the fundamental problem that AI is facing. Multiple football fields of silicon to… https://t.co/vDBA6PvztPAt some point the math doesn't work… unless we flip the compute paradigm. GPT-4 requires 40,000x more compute than models from a few years ago. This exponentially increasing need for compute is the fundamental problem that AI is facing. Multiple football fields of silicon to
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Cerebras Announces New Board Members and CFO
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Today, we are announcing some new additions to the Cerebras leadership team. Welcome to our new Board members Glenda Dorchak and Paul Auvil, and our CFO @BobKomin
! Glenda, a former IBM, Intel and Spansion executive, and Paul, former CFO of VMWare and ProofPoint, are both -
Cerebras Wafer Scale Engines: Superior AI Hardware Architecture
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What makes Cerebras Wafer Scale Engines better for AI than GPUs?
— Cerebras (@cerebras) 5 août 2024
Cerebras CTO and cofounder, Sean Lie, sat down with @FoundationCap's @vassallo to explain.
Sean talks end-to-end system design, the power of sparsity, and why wafer-scale clusters are the best tools for AI… https://t.co/qZbWamoh9jWhat makes Cerebras Wafer Scale Engines better for AI than GPUs? Cerebras CTO and cofounder, Sean Lie, sat down with @FoundationCap
's @vassallo to explain. Sean talks end-to-end system design, the power of sparsity, and why wafer-scale clusters are the best tools for AI