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UpworkwithFireworks AI

How Upwork uses Fireworks AI

ConfirmedVendor case study · Checked Oct 31, 2026
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The use case: how Upwork deploys Fireworks AI

Upwork serves custom Llama 3.1 LoRA models on Fireworks to power Uma, its AI assistant, in drafting tailored job proposals for freelancers in real time. Fireworks provides low-latency inference and multi-LoRA serving for task-specific models.

In the customer’s words

Fireworks offers incredible TTFT (time-to-first-token) and ITL (inter-token latency) without the need to manage our own machines.
Zhao Chen, Director of AI & Machine Learning at Upwork — Source

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Go straight to the source

Based on Fireworks AI’s published case study. We check the public evidence; the results are reported by the vendor.

fireworks.ai
Source published
Nov 11, 2024
Last checked
Oct 31, 2026
fireworks.aiCaptured Fireworks AI case study about UpworkOpen source capture
What the story claims, and what we checked

What we compared with the page.

  • The passage quoted aboveChecked

    Copied word for word from the page, near the name of Upwork.

  • The numbers in our summaryChecked

    Each one is printed on the page.

  • The publication dateChecked

    Read from the page’s own metadata, never guessed.

  • Upwork uses Fireworks AIChecked

    Confirmed line.

  • The result itselfNot checked

    We quote it; we did not measure it.

Upwork chose Fireworks to power a key component of their custom-AI strategy within Uma, where multi-AI model workflows are being used to tackle key experiences in the hiring and matching processes.
From the page. fireworks.ai