Helpful Brief: Agentix: An Efficient Serving Engine for LLM Agents as General Programs Yiran Lei, Carnegie Mellon University and MangoBoost; Dongjoo Lee, MangoBoost; Liangyu Zhao, University of Washington; ...

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The GOODPUT System: A Machine Learning-Driven Optimization Framework for Dynamic Spectrum Control in Heterogeneous ... Yiran Lei, Carnegie Mellon University and MangoBoost; Dongjoo Lee, MangoBoost; Liangyu Zhao, University of Washington; ... Agentix: An Efficient Serving Engine for LLM Agents as General Programs

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NSDI '26 - Agentix: An Efficient Serving Engine for LLM Agents as General Programs
NSDI '26 - JITServe: SLO-aware LLM Serving with Imprecise Request Information
NSDI '26 - FAST: An Efficient Scheduler for All-to-All GPU Communication
NSDI '26 - FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees
NSDI '26 - SYMPHONY: Enabling Compute-Memory Disaggregation in LLM Serving Systems
NSDI '26 - Cortex: Achieving Low-Latency, Cost-Efficient Remote Data Access For LLM via
NSDI '26 - Express Lane to Efficiency and Reliability: Multi-Dimensional Control in Meta’s Express..
NSDI '26 - MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters...
NSDI '26 - The GOODPUT System: A Machine Learning-Driven Optimization Framework for Dynamic...
NSDI '26 - Slowpoke: End-to-end Throughput Optimization Modeling for Microservice Applications
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NSDI '26 - Agentix: An Efficient Serving Engine for LLM Agents as General Programs

NSDI '26 - Agentix: An Efficient Serving Engine for LLM Agents as General Programs

Agentix: An Efficient Serving Engine for LLM Agents as General Programs

NSDI '26 - JITServe: SLO-aware LLM Serving with Imprecise Request Information

NSDI '26 - JITServe: SLO-aware LLM Serving with Imprecise Request Information

Read more details and related context about NSDI '26 - JITServe: SLO-aware LLM Serving with Imprecise Request Information.

NSDI '26 - FAST: An Efficient Scheduler for All-to-All GPU Communication

NSDI '26 - FAST: An Efficient Scheduler for All-to-All GPU Communication

Yiran Lei, Carnegie Mellon University and MangoBoost; Dongjoo Lee, MangoBoost; Liangyu Zhao, University of Washington; ...

NSDI '26 - FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees

NSDI '26 - FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees

Read more details and related context about NSDI '26 - FlexLLM: Token-Level Co-Serving of LLM Inference and Finetuning with SLO Guarantees.

NSDI '26 - SYMPHONY: Enabling Compute-Memory Disaggregation in LLM Serving Systems

NSDI '26 - SYMPHONY: Enabling Compute-Memory Disaggregation in LLM Serving Systems

Read more details and related context about NSDI '26 - SYMPHONY: Enabling Compute-Memory Disaggregation in LLM Serving Systems.

NSDI '26 - Cortex: Achieving Low-Latency, Cost-Efficient Remote Data Access For LLM via

NSDI '26 - Cortex: Achieving Low-Latency, Cost-Efficient Remote Data Access For LLM via

Read more details and related context about NSDI '26 - Cortex: Achieving Low-Latency, Cost-Efficient Remote Data Access For LLM via.

NSDI '26 - Express Lane to Efficiency and Reliability: Multi-Dimensional Control in Meta’s Express..

NSDI '26 - Express Lane to Efficiency and Reliability: Multi-Dimensional Control in Meta’s Express..

Read more details and related context about NSDI '26 - Express Lane to Efficiency and Reliability: Multi-Dimensional Control in Meta’s Express...

NSDI '26 - MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters...

NSDI '26 - MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters...

Read more details and related context about NSDI '26 - MuxTune: Efficient Multi-Task LLM Fine-Tuning in Multi-Tenant Datacenters....

NSDI '26 - The GOODPUT System: A Machine Learning-Driven Optimization Framework for Dynamic...

NSDI '26 - The GOODPUT System: A Machine Learning-Driven Optimization Framework for Dynamic...

The GOODPUT System: A Machine Learning-Driven Optimization Framework for Dynamic Spectrum Control in Heterogeneous ...

NSDI '26 - Slowpoke: End-to-end Throughput Optimization Modeling for Microservice Applications

NSDI '26 - Slowpoke: End-to-end Throughput Optimization Modeling for Microservice Applications

Slowpoke: End-to-end Throughput Optimization Modeling for Microservice Applications Yizheng Xie, Di Jin, and Oğuzhan ...