Emissions budgets with MAPE-K adaptation raise task fulfillment up to 36% versus fixed rates in variable grids while matching them in stable ones, based on six-week simulations from Germany, France, and Poland.
On the limitations of carbon-aware temporal and spatial workload shifting in the cloud,
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CCCL delivers 1.34-1.94x faster cross-node GPU collectives via CXL memory pooling than 200 Gbps InfiniBand RDMA, with 1.11x LLM training speedup and 2.75x hardware cost reduction.
Equilibria delivers per-container fairness controls and observability for CXL memory tiering, improving production workload performance by up to 52% over Linux TPP while suppressing noisy-neighbor interference.
GPU data centers participating in power grid frequency regulation via the EcoCenter framework can achieve exogenous carbon savings exceeding their operational emissions.
Introduces the Feasible Sovereign Operating Region (FSOR) as a construct for workloads sustainable under physical and regulatory limits, along with a joint compute-network optimization framework that enforces sustainability as hard constraints.
citing papers explorer
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Using Budgets to Reduce Application Emissions
Emissions budgets with MAPE-K adaptation raise task fulfillment up to 36% versus fixed rates in variable grids while matching them in stable ones, based on six-week simulations from Germany, France, and Poland.
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CCCL: Node-Spanning GPU Collectives with CXL Memory Pooling
CCCL delivers 1.34-1.94x faster cross-node GPU collectives via CXL memory pooling than 200 Gbps InfiniBand RDMA, with 1.11x LLM training speedup and 2.75x hardware cost reduction.
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Equilibria: Fair Multi-Tenant CXL Memory Tiering At Scale
Equilibria delivers per-container fairness controls and observability for CXL memory tiering, improving production workload performance by up to 52% over Linux TPP while suppressing noisy-neighbor interference.
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Coordinating GPU Data Centers and Power Grid Regulation Service for Exogenous Carbon Benefits
GPU data centers participating in power grid frequency regulation via the EcoCenter framework can achieve exogenous carbon savings exceeding their operational emissions.
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Sustainability-Constrained Workload Orchestration for Sovereign AI Infrastructure: A Joint Compute-Network Optimization Framework
Introduces the Feasible Sovereign Operating Region (FSOR) as a construct for workloads sustainable under physical and regulatory limits, along with a joint compute-network optimization framework that enforces sustainability as hard constraints.