Wafer
Serves open AI models with inference tuned to each customer's traffic, via serverless, reserved and dedicated endpoints
Highlights
- New on EvolcAdded 2026-11-11
About Wafer
Wafer provides inference for open AI models, tuning the serving stack across model, decoding, engine, kernels and hardware. Its agent profiles the stack, generates candidate configurations and deploys only measured improvements. Supported hardware includes NVIDIA B200/B300, AMD MI350X/MI355X, AWS Trainium and Google TPUs.
Customers can pay per token for serverless access through an OpenAI-compatible API, reserve throughput backed by an uptime SLA, or run an isolated dedicated endpoint with performance targets in the SLA. Named customers include Neon Health, Evergrove Labs and Linzumi. A batch offering for asynchronous jobs is listed as coming soon.
Wafer announced a $40M Series A. Its founders are Steven Arellano (CTO) and Emilio Andere (CEO), and it describes itself as a small in-person team in San Francisco. Its ten open roles are mostly in San Francisco and span engineering, go-to-market and operations.
Product: Hosted inference for open AI models with serverless per-token, reserved and dedicated endpoint options, tuned across the full serving stack.
Jobs at Wafer
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Website technologies
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