OpenAI-compatible public and dedicated private endpoints in a ridiculously fast, secure AI Cloud.
We’re finalizing our benchmarks against popular inference services and can’t wait to share the results with you! Drop your email to be the first to see the results.
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Models optimized with Corvex Ignite inference engine turbocharge return more tokens per second without trading off accuracy, improving your tokenomics.
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Delivering limitless flexibility from our secure cloud, or run Corvex Ignite in your cloud.
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Coming soon: Remote attestation, per-tenant TEEs, and zero admin access to guarantee your inference requests are secure and never used to train someone else's model.
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Our high-performance platform allows us to offer heavily discounted tokens, with much faster time-to-first-token.
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With our OpenAI-compatible API, our dedicated endpoints (and public endpoints coming soon!), or by installing Corvex Ignite in your cloud, integrating Corvex couldn’t be easier.
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All inference is processed in our SOC2, HIPAA-certified AI Cloud, hosted in our tier III+ data centers with Corvex Confidential Compute(coming soon!)
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Fast, secure inference-as-a-service is a click away. Request a custom quote to get the best pricing for your project.
Our proprietary Ignite engine accelerates performance without compromise to lower your TCO
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Inference as a service is the fully managed delivery of model inference—SLAs, autoscaling, observability, and security included. An inference engine is the runtime that executes models. Corvex provides both: a high-performance inference engine behind dedicated private endpoints, delivered as a service.
Our lower costs come from efficiency, not trade-offs. We’ve solved key performance challenges at the system level, allowing us to run H200 and B200 GPUs at much higher throughput without hurting latency. Our core optimizations include intelligent request routing and advanced I/O management, which ensure that we can serve more requests per second from each GPU.
Absolutely not. We are committed to providing full-precision, high-accuracy models. Our cost savings are purely the result of our highly efficient, optimized inference stack. Any use of quantization is a deliberate choice controlled by the user for their specific application, not a hidden measure we take to cut costs. The price you see is for full, uncompromised model quality.
We offer dedicated private endpoints for production SLOs, isolation, and compliance. Private networking (VPC peering/PrivateLink equivalents) is available. Public endpoints will be available Q1 2026.
Yes—H200 (141 GB) enables single-GPU fits at higher precision options and larger contexts than 80 GB cards, improving TTFT and throughput per dollar. We’ll size the endpoint (H200 vs B200, precision, batch/ctx) to your latency and cost goals.
H200 is the sweet spot for large models and long contexts on a single GPU; B200 is ideal when you need even more headroom or multi-model consolidation per node. We benchmark your traffic to pick the best SKU.
7. Can I use Corvex Ignite in my own cloud or use on premises on private servers?
Yes - Corvex Ignite is available as downloadable software that you can install in your own cloud or on premises.
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Nvidia
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SOC2 Certified
HIPAA Compliant
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