Corvex provides a secure AI cloud platform offering dedicated GPU clusters—from single servers to tens of thousands of GPUs—with flexible deployment options such as bare metal, Kubernetes, VMs, and SLURM. Its hardware‑enforced encryption protects model weights and inference data, meeting SOC 2 and HIPAA standards while delivering predictable reservation‑based pricing and ultra‑low latency performance for enterprise AI workloads.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises and AI developers need large-scale GPU compute for training and inference, but existing cloud offerings often lack guaranteed security for proprietary model weights, have unpredictable pricing, and provide limited flexibility in deployment architectures.
Solution
Corvex delivers a secure AI cloud infrastructure that offers dedicated GPU clusters ranging from single servers to thousands of GPUs, configurable as bare metal, Kubernetes, VMs, or SLURM. Hardware‑enforced cryptography encrypts model weights at rest, in transit, and during computation, meeting SOC 2 and HIPAA standards and optionally providing nation‑state‑grade confidentiality. The service runs in Tier III+ data centers with redundant power and networking, ensuring high availability and ultra‑low latency through custom SGLang optimizations. Customers can choose single‑tenant virtual private clouds, fully isolated on‑premise deployments, or hybrid setups integrated with existing AWS EKS environments. Predictable, reservation‑based GPU‑hour pricing and 24/7 support help organizations control costs while scaling to AI‑factory workloads.
Target Audience
Primary customers are enterprise AI teams, model builders, and regulated industries (e.g., healthcare, finance) that require secure, high‑performance GPU compute for large‑scale training and inference.
Features
- Dedicated GPU clusters with the latest NVIDIA Blackwell, H200, and B200 hardware, up to 96 K+ GPUs for trillion‑parameter training and inference
- Hardware‑enforced encryption of model weights and inference data, with confidential containers and remote attestation
- Flexible deployment options: bare metal, Kubernetes, virtual machines, SLURM, or fully isolated on‑premise installations
- SOC 2 and HIPAA compliance, with optional nation‑state‑grade security configurations
- Predictable reservation‑based GPU‑hour pricing that outperforms per‑token cost models for high‑throughput workloads
- Ultra‑low latency inference (≈42 % lower time‑to‑first‑token) via custom software stack and zero‑contention environments
- Redundant 100 Gbps networking, non‑blocking InfiniBand interconnects, and petabyte‑scale NVMe storage
- 24/7 expert support, solutions architecture, and consulting services for deployment optimization