The inference layer for production AI.
Deploy any model to 31 regions with one command. Nexora scales to zero, streams the first token in milliseconds and tells you what every request cost.
Product preview: a live console showing requests per second, latency, GPU utilisation and a request log.
Product
Three verbs. Everything else is automated.
$ nexora deploy meta-llama/Llama-3.1-70B \--gpu h100 --min 0 --max 24✓ Weights cached in 31 regions✓ Endpoint live api.nexora.ai/v1/llama-70bp50 41ms · $0.00031 / 1k tokens
Platform
Built for the boring parts of AI.
Your team should be improving models, not babysitting GPUs. Nexora handles the infrastructure that never makes the demo.
Cold starts in 180 ms
Weights are streamed from a regional cache while the container boots. Scale to zero without paying for it in latency.
Continuous batching
Requests are batched at the token level, so throughput rises with traffic instead of queueing behind it.
31 regions, one endpoint
Anycast routing sends every request to the nearest healthy GPU pool. Failover happens before your pager does.
Any model, any framework
PyTorch, JAX, vLLM, TensorRT-LLM or a custom container. If it runs on a GPU, it runs on Nexora.
Observability built in
Per-request traces, token-level latency and cost per customer — exported to the tools you already use.
Private by default
SOC 2 Type II, single-tenant clusters and VPC peering. Your weights and prompts never leave your boundary.
- p50 time to first token
- 38ms
- Uptime, trailing 12 months
- 99.99%
- Tokens served per day
- 4.2B
- Regions worldwide
- 31
Technology
One endpoint. A planet of GPUs behind it.
- EdgeTLS, auth and rate limits terminate within 20 ms of your users.
- RouterPicks the pool with the shortest queue and warmest cache — per request.
- PoolsH100, A100 and L40S fleets, mixed to hit your latency and cost targets.
Integrations
Fits the stack you already run.
Customers
Teams that stopped thinking about GPUs.
“We moved our entire inference stack in a weekend. Latency dropped by half and we stopped hiring for on-call.”
Priya RamanCTO, Halcyon Robotics
“Scale-to-zero that actually works. Our GPU bill now follows our traffic curve instead of our fears.”
Jonas WeberHead of Platform, Fieldnote
“The traces alone are worth it. For the first time we can tell a customer exactly why a request was slow.”
Amara OkaforStaff Engineer, Lattice Health
Pricing
Pay for tokens, not idle GPUs.
Developer
For side projects and prototypes.
$0/ month
- $25 of free compute monthly
- Shared GPU pools
- 3 deployed models
- Community support
- Most popular
Team
For products in production.
$399/ month
- Dedicated GPU pools
- Unlimited models
- Autoscaling & scale-to-zero
- Traces & cost analytics
- Email & Slack support
Enterprise
For regulated and high-volume workloads.
Custom
- Single-tenant clusters
- VPC peering & private link
- Custom SLAs, 99.99%
- SOC 2, HIPAA, GDPR
- Named engineer
Usage billed per second on top of plan. No minimums on Developer and Team.
Ship your model this afternoon.
$25 of free compute every month. No credit card, no sales call.
$ npx nexora deploy