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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. Announcing General Availability of Together Instant Clusters, offering ready to use, self

    Together AI has launched Together Instant Clusters, a new service providing readily available, self-service GPU clusters for AI development and deployment. This offering aims to simplify the complex process of setting up multi-node GPU infrastructure, allowing users to provision clusters with hundreds of GPUs in minutes via API, CLI, or console. The service includes pre-configured components for distributed training and inference, supporting NVIDIA's latest GPU architectures and high-performance networking solutions. AI

    Announcing General Availability of Together Instant Clusters, offering ready to use, self

    IMPACT Simplifies GPU cluster provisioning, enabling faster experimentation and deployment for AI workloads.

  2. Slonk: Slurm on Kubernetes for ML Research at Character.ai

    Character.ai has developed an internal system called Slonk, which integrates the traditional SLURM scheduler with Kubernetes for managing GPU research clusters. This system aims to provide researchers with the familiar user experience of SLURM, including features like fair queues and gang scheduling, while leveraging Kubernetes for operational benefits such as orchestration, health checks, and autoscaling. Slonk treats SLURM nodes as Kubernetes pods, allowing for efficient resource sharing and management across heterogeneous clusters and clouds. AI

    Slonk: Slurm on Kubernetes for ML Research at Character.ai

    IMPACT Enables more efficient and productive GPU cluster management for ML researchers by combining familiar HPC tools with modern orchestration.