Auxilio AI provides on-demand cloud VMs equipped with NVIDIA Ampere A6000 or Quadro RTX 6000 GPUs and Intel Xeon Gold CPUs, supporting up to eight GPUs, 768 GB ECC RAM, and scalable SSD storage. The platform offers flexible hourly, weekly, or monthly billing, unlimited bandwidth, and standard APIs that avoid vendor lock‑in, enabling AI/ML engineers, rendering studios, and game developers to scale GPU‑intensive workloads efficiently.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations running deep learning, high‑performance computing (HPC), rendering, or cloud‑gaming workloads often face limited GPU availability, high per‑hour costs, and vendor‑specific lock‑in when using major public cloud providers. This hampers scaling, prolongs time‑to‑insight, and inflates operational budgets.
Solution
Auxilio AI delivers on‑demand cloud infrastructure optimized for GPU‑intensive workloads. The platform provisions virtual machines equipped with NVIDIA Ampere A6000 or Quadro RTX 6000 professional GPUs, paired with Intel Xeon Gold 6248R CPUs that support Intel Deep Learning Boost. Customers can select configurations ranging from a single GPU up to eight GPUs, with up to 768 GB of ECC RAM and scalable SSD storage (1 TB‑100 TB). Billing is flexible—hourly, weekly, or monthly—allowing teams to match costs to project timelines. All VMs run Linux, CentOS, or Windows, and the service offers unlimited bandwidth and built‑in data egress, eliminating hidden transfer fees. Auxilio AI also provides a lock‑in‑free environment with standard APIs, enabling seamless migration of workloads and data to any on‑premise or cloud destination.
Target Audience
Primary customers are AI/ML engineers, data scientists, rendering studios, game developers, and research groups that require scalable GPU compute for model training, simulation, or real‑time graphics workloads.
Features
- NVIDIA Ampere A6000 (48 GB GDDR6) and Quadro RTX 6000 (24 GB GDDR6) GPUs, up to 8 GPUs per VM, delivering 16.31 TFLOPs per card
- Intel Xeon Gold 6248R CPUs (24 cores, 48 threads) with DL Boost for accelerated tensor operations
- Configurable memory up to 768 GB ECC RAM and SSD storage from 1 TB to 100 TB, with optional volume expansion
- Unlimited inbound/outbound bandwidth included in every plan
- Flexible consumption models: $0.80 / h (1 × A6000), $0.60 / h (1 × RTX 6000), weekly $129‑$99, monthly $499‑$399 per instance
- Support for Ubuntu, CentOS, and Windows VM images, pre‑installed with CUDA, cuDNN, and common ML frameworks
- Open‑cloud approach with standard REST/CLI APIs and no proprietary lock‑in, enabling easy data export and workload migration
- Integrated monitoring dashboard for GPU utilization, CPU load, and storage metrics, with alerts for quota thresholds