Dedicated GPU pods, elastic compute and MLOps-ready environments — priced for early-stage teams, built to scale with you.
Price Your Pod Talk to an ArchitectNo hyperscaler bills. No setup overhead. Just GPU compute that works from day one.
Pay-as-you-go GPU pods with no surprise egress fees or reserved-instance lock-in.
Spin up a GPU pod with Jupyter, Docker or bare-metal access — no hardware lead time.
Move from a single GPU to a multi-node cluster on the same platform as you grow.
Direct access to infra engineers who understand AI workloads — not a ticketing queue.
Get your own GPU pod — no noisy neighbours, no shared contention. NVIDIA A-series and H-series GPUs available for training, fine-tuning and inference workloads.
Connect your existing GitHub, GitLab or Bitbucket pipelines to GPU compute. Trigger training runs automatically on commits or schedule batch fine-tuning jobs overnight.
Store large training datasets, model checkpoints and inference artefacts on high-throughput object storage that is co-located with your GPU pods for minimal transfer latency.
Deploy your trained models as low-latency REST or gRPC endpoints. Auto-scale inference pods based on request volume without managing Kubernetes yourself.
Fine-tune Llama, Mistral or your own base model on proprietary data using LoRA and QLoRA on dedicated A100 / H100 pods.
Get StartedTrain and deploy CV models for detection, segmentation or video analytics with high-throughput GPU pods and co-located storage.
Get StartedRun scalable inference APIs for your AI SaaS product with auto-scaling GPU pods, custom domains and per-customer isolation.
Get StartedAll plans include storage, networking and architect support. Build a custom quote →
For prototyping and early experiments
For active training and inference serving
For production AI products at scale
Bare-metal compute and virtual machines with full admin control for custom AI stacks.
Learn MorePre-built ML pipelines, model registries and experiment tracking on top of your GPU pods.
Learn MoreEnterprise-grade AI infrastructure with dedicated clusters, SLAs and private networking.
Learn MoreFrom first model to production inference — we have the GPU infrastructure to take you there.
Request Demo Price Your PodTell us about your AI workload and we'll recommend the right pod configuration within 24 hours.