Skip to main content

​
Overview

CPU and memory resources are allocated per container and billed based on actual usage. Configure each app with specific CPU and memory requirements to optimize performance and cost.

​
Resource Configuration

​
CPU Configuration

CPU resources are specified as vCPU units (float) in the cerebrium.toml file: 
[cerebrium.hardware]
cpu = 4    # Number of vCPU cores
Start with 4 CPU cores for most applications. Add cores based on monitoring, performance, and resource requirements. CPU usage is throttled when exceeding the specified limit. Fractional CPUs are also supported (e.g., 0.5).

​
Memory Configuration

Memory is specified in gigabytes as a floating-point number: 
[cerebrium.hardware]
memory = 16.0    # Memory in GB
Allocate system memory equal to the GPU’s VRAM capacity as a baseline. This accounts for initial model loading and compilation before GPU transfer. Applications terminate with an Out of Memory (OOM) error if they exceed the specified memory limit.
Memory and CPU are billed based on usage, which reduces costs for end-users and doesn’t require the overprovisioning of an entire instance.

​
Resource Limits

Resource limits depend on the selected hardware configuration:
Hardware TypeMax CPU CoresMax Memory (GB)
CPU Only4896
ADA_L4016128
AMPERE_A10012140
AMPERE_A1048192
ADA_L448192
TURING_T448192
HOPPER_H10024256
HOPPER_H20024256
BLACKWELL_B20024256
BLACKWELL_B30024512
TRN1128512

​
Memory Optimization

The Transformers library provides memory optimization through the low_cpu_mem_usage flag, which reduces memory footprint at the cost of longer initialization times. Implement lazy loading for large datasets to further reduce memory usage. Monitor memory patterns through platform metrics to identify optimization opportunities. Use memory-efficient model loading techniques for large-scale deployments.

​
Resource Monitoring

The platform monitors CPU utilization and throttling events to identify performance bottlenecks. Memory usage and OOM events are tracked to prevent application failures.