Run agent sandboxes, reinforcement learning, and data pipelines on bare-metal CPUs with NVIDIA Vera, AMD EPYC™, and Intel® Xeon® processors
Agent sandboxes, reinforcement learning environments, and data pipelines run on CPUs. When those CPUs can't keep up, GPUs sit idle waiting for the next environment, rollout, or batch of data, and you pay for GPU time you aren't using. CoreWeave CPU compute runs these workloads on bare-metal instances, so CPU capacity keeps pace with your GPU clusters.
Run code, use tools, and evaluate results in isolated environments that start fast and run side by side at scale.
Generate the experience models learn from, with rollouts running in parallel, reward functions running in isolated sandboxes that snapshot and resume, and results feeding back into training.
Preprocess, analyze, and move data fast enough that GPUs stay busy instead of waiting on the next batch.
Bare-metal CPU instances built to run agent sandboxes at scale, from the processor to the network
Skip the virtualization layer and run sandboxes on single-tenant hardware, isolated at the hardware level, with none of the overhead that comes with it.
NVIDIA Vera's Spatial Multithreading gives each thread its own dedicated share of the processor, so every sandbox performs at full load.
Our multi-plane network keeps traffic moving as sandboxes scale, while BlueField DPUs enforce tenant isolation and handle networking so your sandboxes keep their CPU cores.
Match each workload to the CPU built for it
Run CPU and GPU workloads on one platform, with nothing to stitch together. Get the x86 or Arm compute you need for data preprocessing, data analytics, reinforcement learning, and sandboxes.
