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Snowflake AI Research

Conducting open, foundational research to advance the field of AI and make enterprise AI easy, efficient, and trusted.

Accuracy at What Cost? Benchmarking Agentic Reasoning with MADQA

Introducing MADQA: A new multimodal benchmark for AI agents. Discover why leading models fail the "efficiency test" and how humans still outperform AI in strategic document navigation.

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Introducing Data Governance Skills for Cortex Code

Discover Cortex Code governance skills in Snowflake. Use AI to classify data, enforce policies and monitor access with natural language—no SQL required.

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Cortex Agent Evaluations: Monitor, Measure and Improve Your AI Agents on Snowflake

A comprehensive solution for validating your agent's behavior and performance using Snowflake's research-backed GPA framework to move from prototype to production with confidence.

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Fast and More Accurate Causal Parallel Decoding Using Jacobi Forcing

Jacobi Forcing enables fast and more accurate causal parallel decoding for autoregressive transformers, offering near-AR quality and improved token throughput.

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64 Results

Publication

Arctic Extract: Compact, Efficient, and State-of-the-Art Vision-Language Processing

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Publication

Cortex AISQL: A Production SQL Engine for Unstructured Data

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Publication

What Is Your Agent's GPA? A Framework for Evaluating Agent Goal-Plan-Action Alignment

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Publication

SuperOffload: Unleashing the Power of Large-Scale LLM Training on Superchips

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SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications

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Publication

ARC ‘Challenge’ Is Not That Challenging

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Connect with usand explore our projects

Github

Arctic Inference

Arctic Inference combines Shift Parallelism, SwiftKV, fast speculative decoding, and optimized embedding inference to deliver state-of-the-art open-source AI performance.

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Github

Arctic Training

Snowflake’s framework for optimizing large language models using scalable, enterprise-grade techniques like execution-based feedback, retrieval-augmented learning, and efficient fine-tuning.

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Hugging face

Arctic Models

Download Snowflake’s enterprise-ready OSS models and frameworks for state-of-the-art retrieval, inference, speculative decoding, and Text2SQL optimization.

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Github

Trulens

Tracing, evals, experiment tracking for LLM applications. Created and maintained by researchers & developers now primarily with Snowflake.

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Github

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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Github

vLLM

A high-throughput and memory-efficient inference and serving engine for LLMs. Snowflake researchers and engineers actively contribute to vLLM.

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Featured AI Researchers

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Snowflake AI Research

Accuracy at What Cost? Benchmarking Agentic Reasoning with MADQA

Introducing Data Governance Skills for Cortex Code

Cortex Agent Evaluations: Monitor, Measure and Improve Your AI Agents on Snowflake

Fast and More Accurate Causal Parallel Decoding Using Jacobi Forcing

Arctic Extract: Compact, Efficient, and State-of-the-Art Vision-Language Processing

Cortex AISQL: A Production SQL Engine for Unstructured Data

What Is Your Agent's GPA? A Framework for Evaluating Agent Goal-Plan-Action Alignment

SuperOffload: Unleashing the Power of Large-Scale LLM Training on Superchips

SuffixDecoding: Extreme Speculative Decoding for Emerging AI Applications

ARC ‘Challenge’ Is Not That Challenging

Connect with usand explore our projects

Arctic Inference

Arctic Training

Arctic Models

Trulens

DeepSpeed

vLLM

Featured AI Researchers

Anupam Datta

Canwen XU

Hao Zhang

Jeff Rasley

Mert Hidayetoglu

Michael Wyatt

Olatunji (Tunji) Ruwase

Samyam Rajbhandari

Stas Bekman

Ye Wang

Yuxiong He

Zhewei Yao

Solve challenging problems. Utilize the latest technology. Make an impact.

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