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Technology & InfrastructureEvent: September 7, 2026

Gauntlet AI tested speculative decoding in vLLM on AMD Instinct MI300X and MI355X GPUs to enhance throughput by letting a draft component propose multiple future tokens and the target model verify them in one pass.

Published

Signal category

Technology & Infrastructure

Quote

Speculative decoding in vLLM enhances throughput by letting a draft component propose multiple future tokens and the target model verify them in one pass.

Max Petrusenko|Gauntlet AI team

Company

Gauntlet AI

Your fastest path to becoming AI-first.

Industry
Software Development
Location
Austin, US
Company size
91 employees

Gauntlet turns experienced engineers into production-ready AI operators not by teaching tools, but by rebuilding how they think about and ship software from the ground up. Building real systems, under real deadlines, observed from day one. For companies, we can train your existing team to build AI-native systems or place engineers you have seen perform through ten weeks of real production pressure, based on observed work instead of interviews, with no ramp, no pilot stall, and no gap between what was promised and what ships. For engineers and the companies that employ them, Gauntlet is a direct path to operating AI-first.

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Gauntlet AI tested speculative decoding in vLLM on AMD Instinct MI300X and MI355X GPUs to enhance throughput by letting a draft component propose multiple future tokens and the target model verify them in one pass. | SeedOps