Fast TTFT is good. No catastrophic outliers is better.
Fireworks orchestrates across 8 major clouds and leads on time-to-first-token. But multi-cloud orchestration introduces tail latency risk, and in production one slow request can break the experience. Telnyx runs four frontier models on owned GPUs across the US, EU, and APAC with tight latency distributions and no catastrophic outliers.
14,000+ INDUSTRY-LEADING COMPANIES choose telnyx
Serverless inference lives on Telnyx-owned GPUs in the US, EU, and APAC. In-region by architecture, not a premium tier.
Multi-cloud orchestrator routing through 8 major clouds across 18+ regions. EU and APAC coverage is dedicated-deployment only. Serverless requests route to the US.
Fireworks bills per-token on serverless, switches to GPU-second on dedicated, and negotiates terms for reserved capacity. Telnyx is per-token only, cached input bundled, 1M free tokens monthly, so finance sees one line, not three.
Fireworks exposes an OpenAI-compatible endpoint. So does Telnyx. Swap the base URL, keep the rest of your code, run your first request on the same day.
Python
from openai import OpenAI
client = OpenAI(
api_key="YOUR_TELNYX_API_KEY",
base_url="https://api.telnyx.com/v2/ai",
)
response = client.chat.completions.create(
model="moonshotai/Kimi-K2.6",
messages=[{"role": "user", "content": "Hello"}],
)Owned GPUs in the US, EU, and APAC. No cloud markup.
From carrier network to co-located GPU compute, Telnyx owns every layer your agents need to run voice AI and inference in real time. No Frankenstack. No rented infrastructure. One control plane for inference, voice AI, and global communications. Configure once, deploy globally.
Start with 1M free tokens per month. Inference at the edge.
Both Telnyx and Fireworks AI use OpenAI-compatible endpoints, so you can run them in parallel during migration. Point a percentage of traffic at the Telnyx base URL, validate results, then cut over.