GPU optimization with time-slicing, MIG, and bin-packing for AI workloads on Kubernetes.
Cast AI GPU Optimization extends Cast AI's automation to GPU-backed Kubernetes clusters running AI workloads. It applies techniques including GPU time-slicing, NVIDIA Multi-Instance GPU partitioning, and bin-packing to raise utilization of scarce accelerator capacity.
The offering targets teams training and serving AI models on Kubernetes who face GPU scarcity and cost pressure. It is documented on Cast AI's official website at cast.ai.
| Attribute | Cast AI GPU Optimization | CoreWeave Mission Control | Pepperdata GPU Optimization | |
|---|---|---|---|---|
| Provider |  |  |  | |
| Founded | 2019 | 2017 | 2012 | |
| Sells To | Enterprise | Enterprise | Enterprise | |
| Pricing Model | Recurring, Software | Recurring, Software, Usage-based | Recurring, Software | |
| Ownership | Venture-backed | Venture-backed | Venture-backed |
Provider
Founded 2019
Sells To Enterprise
Pricing Model Recurring, Software
Ownership Venture-backed
Provider
Founded 2017
Sells To Enterprise
Pricing Model Recurring, Software, Usage-based
Ownership Venture-backed
Provider
Founded 2012
Sells To Enterprise
Pricing Model Recurring, Software
Ownership Venture-backed
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Open-source USD price per GPU-hour across H100, H200, B200, and B300, refreshed every 15 minutes.
Autonomous Kubernetes cost optimization with continuous real-time workload right-sizing that cuts spend without hurting performance.
High-bandwidth, low-latency cloud networking for distributed AI and GPU clusters.
