On-demand A100 & H100 GPUs. Notebooks, deployments, VMs, databases — everything to build, train, and ship AI.
Platform
Compute, storage, networking, and managed services. One platform, zero ops.
NVIDIA A100 (80GB) & H100 (96GB) with bare-metal performance. Zero virtualization overhead, NVLink interconnect.
GPU-powered JupyterLab with PyTorch, TensorFlow, and JAX. Persistent storage, one-click launch.
Browser-based VS Code with GPU access. CUDA debugging, terminal, profiling, and full extension support.
Deploy any open-source LLM as an OpenAI-compatible API in minutes. Powered by vLLM and TensorRT-LLM with auto-scaling.
Linux VMs with GPU passthrough. Full root SSH, VNC console, custom OS images, and floating IPs.
PostgreSQL, MySQL, MongoDB, and Valkey. Automated backups, scaling, and monitoring built in.
L4/L7 load balancing with SSL termination, health checks, and sticky sessions.
Security groups, floating IPs, private VPCs, and firewall rules between all your resources.
Managed DNS zones with A, AAAA, CNAME, MX, TXT, and SRV records.
NVMe SSD volumes. Attach, resize, snapshot, and restore on the fly.
Hardware
Bare-metal performance. No virtualization overhead.
Ideal for fine-tuning 7B-13B models, inference, and research.
Best for training 70B+ models, production inference, low-latency.
Models
Pre-downloaded and ready to deploy. Zero download wait times.
Need a specific model? Sign up and request it.
$ tensor init --get-started
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