Fireworks AI users report latency spikes, seek faster inference alternatives
Users complain Fireworks AI performance degraded; alternative providers needed for sub-second TTFT.
A user of Fireworks AI reports the service has felt more sluggish over the last few weeks, with both TTFT and overall throughput degraded compared to a few months ago. Running a mix of Deepseek and Mixtral in a side project with minimal volume, they experience frequent latency spikes and suspect capacity issues or changes on Fireworks’ end, despite their status page always showing green. Needing sub-second TTFT for their project, the user is asking about alternatives for fast, affordable inference on open-weight models.
- Fireworks AI users report increased TTFT and throughput degradation over recent weeks.
- One developer needs sub-second time-to-first-token for Deepseek and Mixtral models.
- Discussion focuses on alternatives: Groq, Together AI, Replicate, Anyscale, or self-hosting.
Why It Matters
Latency-sensitive AI apps need reliable inference; performance variability in hosted providers can break real-time experiences.