8080 × Sitemap.xml
Where 8080 makes intelligence feel instant.
8080 core
Unblocking intelligence everywhere.
Intelligence should be everywhere, but inference is still too slow and too expensive. Models are good enough; the bottleneck is GPU economics. 8080 is the first inference cloud built around inference ASICs (not GPUs), delivering massive speed and cost gains by burning models into silicon.
We co-locate inference with CPUs, GPUs, storage, and code sandboxes so agent workflows stay on-rack with minimal latency near end users.
Sitemap.xml focus
Customize this section with the customer’s top AI initiatives and where latency or cost blocks adoption.
- List their top latency-sensitive workflows.
- Highlight where inference cost is a constraint.
- Call out any safety, compliance, or quality needs.
- Describe their most important user journeys.
Latency target
<50ms
Set an SLA that matters to the user experience.
Throughput target
XXk TPS
Replace with the customer’s real volume.
Cost target
Xx lower
Define the savings you are aiming for.
Region coverage
Global
List priority regions for deployment.
Use cases
How 8080 could power Sitemap.xml
The highest-leverage opportunities blend low latency with high-volume workloads powered by ASIC inference, not GPUs.
Primary use case
Describe the most valuable workflow you want to accelerate.
Secondary use case
Add another inference-heavy workflow.
Experimentation
Note where rapid iteration would unlock new revenue or growth.
Edge-critical workflow
Describe a low-latency workflow that benefits from on-rack compute.
About 8080
Product and platform highlights.
8080 is built to deliver inference that feels instantaneous, economical, and dependable in production.
8080 Inference
Fastest and cheapest possible inference, designed to make intelligence feel instant everywhere.
8080 Edge
Mixed compute colocated with inference for real-time voice, media, and agent workflows, deployed via the 8080 SDK.
Inference ASICs (not GPUs)
8080 is built around a new generation of inference ASICs, delivering massive speed and power gains versus general GPUs.
OpenAI-compatible API
Drop-in integration with existing inference services. Migrate workloads without rewriting product logic or orchestration.
Developer-friendly ops
CLI-first workflows with logs, tracing, and fast iteration loops so teams can ship and debug production inference quickly.
Latency + cost focus
8080 is structured as a hardware + software + ops stack optimized for two things: lowest possible latency and lowest possible cost.
Model availability
Production model roadmap.
Availability and throughput targets for production deployment.
| Model class | Availability | Prefill speed | Generate speed | Cost |
|---|---|---|---|---|
| 8B class model | Available now | 160k | 20k | 80% cheaper |
| 30B class model | April 2026 | 200k | 25k | 80% cheaper |
| 235B class model | Summer 2026 | 400k | 25k | 80% cheaper |
Next step
Build an always-on inference lane for Sitemap.xml.
8080 is launching in Q1 2026 with early access for partners ready to scale real-time inference. We can reserve capacity, co-design deployment regions, and map the fastest path from pilot to production.