Intelligent resource prediction, automated provisioning, and seamless execution across multiple clouds or your private infrastructure. All with a single command.
Book DemoGPU type, interconnection, driver version, VRAM, storage, memory latency, vCPUs. Do you know the right formula?wisp analyze -c 'command'
identifies the best resource configuration for your specific workload.
t2.medium, a3-megagpu-8g, m8g.2xlarge, Edv4, Epdsv5, g2-standard-32. Need a dictionary?wisp run
brokers the best resource across single or multiple clouds, committed spend, EDP, or credits.
Automatic provisioning, configuration, and data transfer. You focus on code - we handle the infrastructure.
Deploy globally with enhanced compliance and optimal performance. Robust security, full reliability, zero hassle.
Provisioning G4dn.xlarge on AWS
Waiting for SSH
Transferring environment
python train.py --data coco.yaml --epochs 300 --weights --batch-size 128
Wisp leverages real-time utilization data to enhance workload efficiency with every execution, delivering continuous performance improvements and right-sized resource usage.
Continuously right-sizing resources ensures no payment for unused capacity, reducing costs and benefiting the environment.
Highest availability and fair pricing ensure constant access to the hardware required at a cost that that’s right.
Price transparency clarifies the true costs of running AI workloads, including ingress/egress fees and cold start times.
Optimizing for price, performance, sustainability, or a balanced mix ensures spending aligns with key priorities.
Ensuring resources are provisioned accurately and efficiently, eliminating the burden of time-consuming manual processes.