Swift Compute offers on‑demand dedicated GPU infrastructure featuring NVIDIA A100/H100 accelerators with NVLink, automated provisioning via API/CLI, and pay‑per‑second billing. The platform provides elastic cluster management, real‑time utilization dashboards, and SOC‑2‑compliant security to enable AI teams to scale training and inference workloads efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
AI teams often struggle to obtain reliable, high‑performance GPU compute that can scale with the size and complexity of modern deep‑learning models. Public cloud offerings can be cost‑inefficient for sustained workloads, and on‑premise clusters lack the flexibility to adapt quickly to evolving research demands.
Solution
Swift Compute delivers a purpose‑built GPU infrastructure service designed for intensive AI training and inference workloads. Customers provision dedicated GPU nodes through a self‑service portal that automates hardware allocation, networking, and OS configuration. The platform integrates native support for TensorFlow, PyTorch, and JAX, enabling seamless migration of existing pipelines. By offering a pay‑as‑you‑go pricing model and high‑throughput NVLink interconnects, Swift Compute reduces total cost of ownership while maintaining low latency for distributed training. Users access real‑time usage metrics and can scale clusters up or down via an API, ensuring resources match the current experiment’s requirements. All data paths are encrypted and the service complies with major security standards, allowing enterprises to meet compliance mandates without additional overhead.
Target Audience
The service targets AI research labs, machine‑learning engineering teams, and data‑science groups in enterprises and fast‑moving startups that require scalable, high‑performance GPU compute for training large models.
Features
- Dedicated GPU servers equipped with NVIDIA A100/H100 accelerators and NVLink for high‑bandwidth multi‑GPU scaling
- Automated provisioning via RESTful API and CLI, supporting instant spin‑up of custom VM images pre‑installed with popular ML frameworks
- Elastic cluster management with real‑time utilization dashboards and auto‑scaling policies
- Pay‑per‑second billing with granular cost reporting to optimize budget allocation
- End‑to‑end encryption, role‑based access control, and SOC‑2 compliance for secure data handling
- Integrated storage tier with high‑throughput NVMe drives and optional object‑store connectors for dataset staging
- 99.9% SLA uptime backed by redundant power and network paths across multiple data‑center regions