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How Handshake uses Anyscale

50%

“50% savings on cloud costs”

As published on anyscale.com. Captured by usedby on Oct 7, 2026.

What happened

Handshake uses Anyscale's managed Ray platform to train, fine-tune and host LLMs and deep learning recommender models such as graph neural networks and two tower recommenders. These power job matching, recommendations and LLM-generated content for students and employers.

Summary written by usedby from the source page, in English. The figures are those of Anyscale and Handshake, not ours.

  • 5x“5x faster iteration for AI workloads, accelerating time to market and innovation velocity”
  • >50%“10x scalability and >50% cost savings for LLM GPUs”
  • 90%“90% higher engagement on jobs, a key business metric”
  • 30%“while saving 30% on costs versus comparable A100 workloads”

The team’s velocity has increased significantly with Anyscale, which is essential for lean teams that have to move fast. Anyscale provides a platform that has transformed Handshake’s data scientists into full-stack machine learning engineers with only a lean team of 1-2 ML infrastructure engineers supporting and maintaining it.

From the page. anyscale.com, captured Oct 7, 2026

Iterating and scaling foundational embedding models (graph neural networks, two tower recommenders) trained over 100M-200M+ interactions was difficult and time-consuming until we migrated our feature producers and training jobs to Anyscale + Ray. Our experiment velocity with deep models and dependencies has 5x’ed while training on more data for cheaper. Anyscale has also enabled net-new real-time inference services and real-time user experiences that data scientists can roll out without waiting on ML Ops experts.

Scot Fang, TLM, Machine Learning, Handshake. Source, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The figure: 50%CheckedPrinted word for word on the page, near the name of Handshake.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Handshake.
  • Handshake uses AnyscaleCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

15+“The approach enabled 15+ production use cases in the first six months”Handshake uses Arize AI. Another tool at Handshake99%“With Anyscale, we were able to unify it into one model and reduce the cost by 99%”Attentive uses Anyscale. Another customer of Anyscale40%“That translated to a 40% cost reduction via spot automation”Bedrock Robotics uses Anyscale. Another customer of Anyscale