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Tag: LLM Inference

  • Tokenpowerbench Achieves LLM Inference Power Consumption Analysis, Attributing over 90% of Energy to Prefill and Decode Stages
    Artificial Intelligence

    Tokenpowerbench Achieves LLM Inference Power Consumption Analysis, Attributing over 90% of Energy to Prefill and Decode Stages

    by Rohail T.December 4, 2025
  • Dsd: Distributed Speculative Decoding Achieves 1.1x Throughput Gain with 9.7% Latency Reduction for Edge-Cloud Large Models
    Artificial Intelligence

    Dsd: Distributed Speculative Decoding Achieves 1.1x Throughput Gain with 9.7% Latency Reduction for Edge-Cloud Large Models

    by Rohail T.November 28, 2025
  • Beluga: CXL Architecture Achieves 7.35x Performance Boost and 89.6% Efficiency for LLM KVCache Management
    Emerging Technology

    Beluga: CXL Architecture Achieves 7.35x Performance Boost and 89.6% Efficiency for LLM KVCache Management

    by Rohail T.November 26, 2025
  • T-sar Achieves 86.2x GEMV Throughput and 24.5x GEMM Speedup for CPU-Only Ternary LLM Inference
    Technology News

    T-sar Achieves 86.2x GEMV Throughput and 24.5x GEMM Speedup for CPU-Only Ternary LLM Inference

    by Rohail T.November 20, 2025
  • Amd MI300X GPU Performance Analysis Demonstrates High-Performance for Large Language Models with Hundreds of Billions of Parameters
    Technology News

    Amd MI300X GPU Performance Analysis Demonstrates High-Performance for Large Language Models with Hundreds of Billions of Parameters

    by Rohail T.November 8, 2025
  • Researchers Accelerate LLM Inference with LiquidGEMM, Achieving 4.94x Speedup Via 4-bit Quantization
    Artificial Intelligence

    Researchers Accelerate LLM Inference with LiquidGEMM, Achieving 4.94x Speedup Via 4-bit Quantization

    by Quantum NewsSeptember 4, 2025
  • Researchers Accelerate Arbitrary Precision Large Language Models, Overcoming Computational Limits with Novel Methods
    Artificial Intelligence

    Researchers Accelerate Arbitrary Precision Large Language Models, Overcoming Computational Limits with Novel Methods

    by Quantum NewsAugust 31, 2025
  • Researchers develop GreenLLM framework to minimise GPU energy for Large Language Model inference
    Artificial Intelligence

    Researchers develop GreenLLM framework to minimise GPU energy for Large Language Model inference

    by Quantum NewsAugust 25, 2025
  • MIRAGE Remaps Model Parameters to Accelerate Large Language Model Inference
    Artificial Intelligence

    MIRAGE Remaps Model Parameters to Accelerate Large Language Model Inference

    by Quantum NewsJuly 17, 2025
  • Qualcomm AI Accelerator Boosts Large Language Model Efficiency.
    Technology News

    Qualcomm AI Accelerator Boosts Large Language Model Efficiency.

    by Quantum NewsJuly 3, 2025
  • Large Language Model Inference, Systems, Techniques and Future Challenges.
    Artificial Intelligence

    Large Language Model Inference, Systems, Techniques and Future Challenges.

    by Quantum NewsJuly 2, 2025
  • Local LLM Inference on Edge Accelerators: Performance and Efficiency Analysis.
    Artificial Intelligence

    Local LLM Inference on Edge Accelerators: Performance and Efficiency Analysis.

    by Quantum NewsJune 16, 2025
  • Hybrid CPU-GPU Scheduling Boosts Large Language Model Inference Speed.
    Technology News

    Hybrid CPU-GPU Scheduling Boosts Large Language Model Inference Speed.

    by Quantum NewsJune 6, 2025
  • Faster On-Device AI: Ghidorah Optimises Large Language Model Inference.
    Technology News, Artificial Intelligence

    Faster On-Device AI: Ghidorah Optimises Large Language Model Inference.

    by Quantum NewsJune 1, 2025

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Latest Quantum Articles
  • Tunable High-Purity Single-Photon Emitters Unlock Advances in Quantum Metrology and Communication
  • Vibrational Circular Dichroism Achieves Origin-Invariant Spectra Without Gauge-Including Atomic Orbitals
  • Quantum Annealing Advances Minimum Vertex Multicut for Challenging Cybersecurity Problems
  • Glimm-lax Construction Advances 1-d Convex Integration for Sobolev Spaces
  • Overcoming the Detection Loophole: Achieving Non-Classicality with Efficiency above 2/3
  • Reliable PQC Alternatives Achieve Secure Key Encapsulation and Digital Signatures for TLS 1_3
  • Securing IoT Networks Enables Real-Time Defence Against Escalating Cybersecurity Threats
  • Non-hermitian Systems Enable Real Energy Spectra with Pseudo-Hermitian Magnon Dynamics
  • Quantum Computing Achieves Scalable Multiway Cut Optimisation for Telecommunication Networks
  • Exclusive IBM at CES 2026: The Dawn Of Quantum Advantage
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