# myrtle.ai's VOLLO sets new STAC-ML records for gradient-boosted tree inference

- Link: https://www.thailand-business-news.com/pr-news/myrtle-ais-vollo-sets-new-stac-ml-records-for-gradient-boosted-tree-inference
- Published: 2026-10-06T17:59:00+07:00
- Author: PR Newswire

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_Sub-2µs p99 latency and up to 50 million inferences per second in audited benchmarks
unveiled today at STAC Summit London_

CAMBRIDGE, England, Oct. 6, 2026 /PRNewswire/ — [myrtle.ai](http://www.myrtle.ai/)
today announced that its VOLLO® inference accelerator has set new records on the
STAC-ML Markets (Inference) benchmarks for gradient-boosted trees, cutting 99th-
percentile latency by more than 30% and raising throughput by at least 5x over the
previous best results. The STAC®-audited results were unveiled at the STAC Summit
in London today.

[⌊Independently audited by STAC⌉⌊Independently audited by STAC⌉[
Independently audited
by STAC

Running on an AMD Alveo™ V80LL Compute Accelerator in a Blackcore ICON 3132-SM+ 
server, VOLLO achieved p99 latencies below 2 microseconds for all three models. 
For the smallest model, it sustained 50 million inferences per second at a p99 latency
of just 1.77µs.

In electronic trading, the time between market data arriving and a decision being
made directly affects returns. Low, deterministic latency lets firms run larger,
more accurate models without missing the market, so model quality no longer has 
to be traded off against speed.

"Trading firms want to run ever more powerful models without giving up speed, and
these results show they can. Developers can now test their own models on VOLLO without
any FPGA expertise and see the difference for themselves," said Peter Baldwin, CEO,
myrtle.ai.

Following the STAC Tacana results announced in April, VOLLO now holds the records
for deterministic latency for both decision trees and neural networks. It is already
proven in production, with hundreds of thousands of hours of live trading generating
alpha for many of the world’s leading trading firms. Its model flexibility has also
made it a platform of choice in telecoms, network security and defence.

STAC-ML Markets (Inference) is the technology benchmark standard for running inference
on real-time market data. Designed by quants and technologists from leading financial
firms, it reports the performance, resource efficiency and quality of any technology
stack capable of running the provided models. Full results are in the STAC Report(
SUT ID MRTL2026905) at [www.STACresearch.com/MRTL2026905](http://www.stacresearch.com/MRTL2026905).

ML developers can evaluate how their own models would perform on VOLLO today, with
no FPGA tools or expertise required. Visit [myrtle.ai/vollo-trees](https://myrtle.ai/vollo-trees/)
or contact [vollo@myrtle.ai](https://www.thailand-business-news.com/pr-news/vollo@myrtle.ai).

**About myrtle.ai**

Myrtle.ai is an AI/ML software company delivering ultra-low-latency inference accelerators
on FPGA-based platforms from all the leading FPGA suppliers. Its accelerators serve
applications including financial trading, wireless telecoms, LLMs, speech processing
and recommendation.

VOLLO, VOLLO Accelerator and the VOLLO logo are registered trademarks of myrtle.
ai. "STAC" and all STAC names are trademarks or registered trademarks of the Strategic
Technology Analysis Center, LLC. AMD, the AMD Arrow logo, Alveo, and combinations
thereof are trademarks of Advanced Micro Devices, Inc.

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**Read the original article :** [myrtle.ai's VOLLO sets new STAC-ML records for gradient-boosted tree inference ](http://www.prnasia.com/story/archive/5063580_AE63580_0?rand=184833)