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AMD
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Semiconductor company designing CPUs, GPUs, adaptive processors, and AI accelerators for PCs, gaming, data centers, embedded systems, and high-performance computing.
AI Native
No
Number of tools
0
Number of models
1
Number of employees
31k
Profitable
Yes
Valuation
$762B
Tools
No tools yet.
Papers
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MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in ProductionPeking University1 author
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The $qs$ Inequality: Quantifying the Double Penalty of Mixture-of-Experts at InferencePublished on: 2026-03-09 2 authors
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Dynamic Chunking Diffusion TransformerPublished on: 2026-03-06 6 authors
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AI+HW 2035: Shaping the Next DecadeAgentrys, Brown University, California Institute of Technology, Carnegie Mellon University, Hewlett Packard Labs, New York University, Princeton University, Stanford University, University at Buffalo, University of California, University of Illinois Urbana-Champaign, University of Pennsylvania, University of TexasPublished on: 2026-03-05 30 authors
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Parallelization Strategies for Dense LLM Deployment: Navigating Through Application-Specific Tradeoffs and BottlenecksThe Pennsylvania State UniversityPublished on: 2026-03-05 5 authors
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GUI-GENESIS: Automated Synthesis of Efficient Environments with Verifiable Rewards for GUI Agent Post-TrainingPeking UniversityPublished on: 2026-02-15 1 author
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GEPA: Reflective Prompt Evolution Can Outperform Reinforcement LearningPublished on: 2026-02-14 1 author
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AdaptEvolve: Improving Efficiency of Evolutionary AI Agents through Adaptive Model SelectionIndian Institute of Technology KharagpurPublished on: 2026-02-12 1 author
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Canzona: A Unified, Asynchronous, and Load-Balanced Framework for Distributed Matrix-based OptimizersPublished on: 2026-02-04 1 author
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M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit QuantizationShanghai Jiao Tong UniversityPublished on: 2026-01-28 1 author
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Zebra-Llama: Towards Extremely Efficient Hybrid ModelsPublished on: 2026-01-20 1 author
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Power Aware Dynamic Reallocation For InferencePublished on: 2026-01-18 1 author
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AIE4ML: An End-to-End Framework for Compiling Neural Networks for the Next Generation of AMD AI EnginesInstitute of Physics BelgradePublished on: 2026-01-09 1 author
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CD4LM: Consistency Distillation and aDaptive Decoding for Diffusion Language ModelsPrinceton UniversityPublished on: 2026-01-05 1 author
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CXL-SpecKV: A Disaggregated FPGA Speculative KV-Cache for Datacenter LLM ServingColumbia University, Yale UniversityPublished on: 2025-12-11 2 authors
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SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel PruningUniversity of Illinois Urbana-ChampaignPublished on: 2025-10-12 1 author
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Efficient and Adaptable Overlapping for Computation and Communication via Signaling and ReorderingTsinghua UniversityPublished on: 2025-10-09 1 author
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APRIL: Active Partial Rollouts in Reinforcement Learning to Tame Long-tail GenerationCarnegie Mellon UniversityPublished on: 2025-09-26 1 author
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Geak: Introducing Triton Kernel AI Agent & Evaluation BenchmarksPublished on: 2025-07-31 1 author
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Agent Laboratory: Using LLM Agents as Research AssistantsETH ZurichPublished on: 2025-06-17 1 author
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Agent Laboratory: Using LLM Agents as Research AssistantsJohns Hopkins University, Swiss Federal Institute of Technology in ZurichPublished on: 2025-01-08 10 authors
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MongoDB - Build AI That Scales
