myrtle.ai's VOLLO Sets New STAC-ML Benchmarks for Gradient-Boosted Tree Inference
Yahoo Finance ·
On October 6, 2026, UK-based artificial intelligence firm myrtle.ai announced that its VOLLO inference accelerator has established groundbreaking performance milestones on the STAC-ML Markets benchmarks for gradient-boosted trees. Unveiled at the STAC Summit in London, the audited results show VOLLO reducing 99th-percentile latency by over 30% and boosting throughput by at least fivefold compared to prior top metrics. Operating on an AMD Alveo V80LL Compute Accelerator within a Blackcore server setup, the system achieved sub-2-microsecond p99 latencies across all three tested models, maintaining 50 million inferences per second for the smallest model at just 1.77 microseconds. CEO Peter Baldwin noted that these benchmarks empower trading institutions to execute sophisticated models without sacrificing execution speed. This achievement builds upon the previous STAC Tacana results from April, reinforcing VOLLO's leadership in providing ultra-low, deterministic latency for both decision trees and neural networks in live production environments.
AI 시장 분석
Myrtle.ai's VOLLO accelerator has achieved a record-breaking ultra-fast inference speed in the STAC-ML benchmark. By reducing 99th percentile latency by over 30% and recording 50 million inferences per second, it has maximized efficiency in the electronic trading market. This performance breakthrough is expected to drive demand for low-latency technology and have a positive impact on related hardware and fintech sectors.
상승 영향
- Semiconductors — Demand for high-performance computing semiconductors will increase due to VOLLO's ultra-low latency inference record using AMD Alveo accelerators.
- AI — AI model inference speed and throughput in finance and trading sectors will be significantly enhanced, accelerating the adoption of related algorithms and software.
DYAX 전담 분석
This benchmark record was driven by the AMD Alveo V80LL accelerator, proving its ultra-low latency computing capabilities. This serves as a key factor determining profitability in high-speed trading environments, directly driving demand for related semiconductors and infrastructure.
The bullish scenario is the accelerated adoption of ultra-low latency hardware by the financial sector, improving the performance of related semiconductors, while the bearish scenario is a general contraction in IT investment sentiment. Key indicators to watch are the STAC benchmark adoption rate and the expansion of adoption by major trading firms.
AI가 생성한 분석으로 투자 자문이 아닙니다.
DYAX Investor Sentiment
Bullish (Long) 45% · Bearish (Short) 55%
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