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CAMBRIDGE, England, April 29, 2026 /PRNewswire/ -- myrtle.ai, a recognized leader in accelerating machine learning inference, today announced that a stack featuring its VOLLO® product has recently been audited by STAC®, a leading benchmark authority for the finance industry.[1] The results, unveiled at the STAC Summit in London today, clearly demonstrate the latency benefits of an FPGA-based solution for ML inference in financial trading and related applications.
STAC-ML (Markets) Inference is the technology benchmark standard for solutions that may be used to run inference on real-time market data. Designed by quants and technologists from some of the world's leading financial firms, STAC-ML Markets (Inference) reports the performance, resource efficiency, and quality of any technology stack capable of performing inference using the provided models.
VOLLO achieved latencies as low as 2 microseconds (99th percentile) while also exhibiting excellent results in throughput and efficiency. Across all three benchmark models, VOLLO inferred in lower latency (99th percentile) than all previously audited systems, halving its previous record. Such low, deterministic latency enables users to make more intelligent decisions using more complex models faster than in the past, giving them a competitive advantage in trading, risk analysis, quotes and many other trading-related activities.
With hundreds of thousands of hours of production trading under its belt, VOLLO is generating alpha for many of the world's leading trading firms today. Those firms have developed and trained a wide range of models in standard ML tool flows before compiling them into VOLLO and then running them on their choice of FPGA-based hardware platform.
In the system under test, VOLLO ran on the standard form factor FBAP4@VP18-2L0S PCIe accelerator card from Silicom, containing an AMD Versal™ Premium series VP1802 Adaptive SoC and installed in a Supermicro AS -2015CS-TNR server. The AMD Versal Premium Series Adaptive SoC provides PCIe Gen5x8 and more than 3.3M programmable LUTs, making it well suited to low latency inference applications.
"Since VOLLO first exploited the full potential of FPGAs in this STAC benchmark in 2023, we have worked with our customers to further reduce latencies, expand the variety and size of models that VOLLO can run, and grow the range of platforms it can run on," said Peter Baldwin, CEO of myrtle.ai. "We're excited to work with AMD, Silicom and Supermicro on this benchmark, to demonstrate how our combined technologies can enable ultra-low latency AI inference in quant trading."
"The future of financial markets will be shaped by AI systems that can interpret data and act on it in near real time," said Girish Malipeddi, director for Data Center FPGA business, AMD. "With AMD Versal™ Premium series adaptive SoCs at the foundation, myrtle.ai's VOLLO demonstrates how advanced, low-latency inference can help unlock a new generation of intelligent trading infrastructure."
"Supermicro continues to address a wide range of markets with our AMD systems, which were used for this STAC-ML benchmark," said Michael McNerney, Senior Vice President Marketing and Network Security, Supermicro. "Our servers address the most challenging workloads in the financial services industry, and together with partners, we are able to deliver top-end performance with very low latencies for machine learning workloads."
Anders Poulsen, VP Solutions at Silicom Denmark, said: "We're pleased that myrtle.ai selected Silicom's Artena accelerator card, based on AMD Versal Premium, for these tests. Built around one of the largest FPGAs in a PCIe form factor, Artena is an ideal platform for VOLLO. Together, VOLLO and our low-latency hardware deliver deterministic, microsecond-level inference for demanding trading workloads."
ML developers can evaluate today how their models could perform on VOLLO, without the need for any FPGA tools or expertise. For more details go to vollo.myrtle.ai or contact myrtle.ai today at fintech@myrtle.ai.
The full benchmark results are available in the STAC Report (SUT ID MRTL260323) at http://www.STACresearch.com/MRTL260323.
About myrtle.ai
Myrtle.ai is an AI/ML software company that delivers world-class inference accelerators on FPGA-based platforms from all the leading FPGA suppliers. With broad neural network expertise, myrtle.ai has delivered accelerators for applications including fintech, 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 logo, Versal, and combinations thereof are trademarks of Advanced Micro Devices, Inc.
[1] www.STACresearch.com/MRTL260323
Photo - https://mma.prnasia.com/media2/2965395/Myrtle_ai.jpg?p=medium600
Logo - https://mma.prnasia.com/media2/2965394/Myrtle_ai_Logo.jpg?p=medium600
CAMBRIDGE, England, April 29, 2026 /PRNewswire/ -- myrtle.ai, a recognized leader in accelerating machine learning inference, today announced that a stack featuring its VOLLO® product has recently been audited by STAC®, a leading benchmark authority for the finance industry.[1] The results, unveiled at the STAC Summit in London today, clearly demonstrate the latency benefits of an FPGA-based solution for ML inference in financial trading and related applications.
STAC-ML (Markets) Inference is the technology benchmark standard for solutions that may be used to run inference on real-time market data. Designed by quants and technologists from some of the world's leading financial firms, STAC-ML Markets (Inference) reports the performance, resource efficiency, and quality of any technology stack capable of performing inference using the provided models.
VOLLO achieved latencies as low as 2 microseconds (99th percentile) while also exhibiting excellent results in throughput and efficiency. Across all three benchmark models, VOLLO inferred in lower latency (99th percentile) than all previously audited systems, halving its previous record. Such low, deterministic latency enables users to make more intelligent decisions using more complex models faster than in the past, giving them a competitive advantage in trading, risk analysis, quotes and many other trading-related activities.
With hundreds of thousands of hours of production trading under its belt, VOLLO is generating alpha for many of the world's leading trading firms today. Those firms have developed and trained a wide range of models in standard ML tool flows before compiling them into VOLLO and then running them on their choice of FPGA-based hardware platform.
In the system under test, VOLLO ran on the standard form factor FBAP4@VP18-2L0S PCIe accelerator card from Silicom, containing an AMD Versal™ Premium series VP1802 Adaptive SoC and installed in a Supermicro AS -2015CS-TNR server. The AMD Versal Premium Series Adaptive SoC provides PCIe Gen5x8 and more than 3.3M programmable LUTs, making it well suited to low latency inference applications.
"Since VOLLO first exploited the full potential of FPGAs in this STAC benchmark in 2023, we have worked with our customers to further reduce latencies, expand the variety and size of models that VOLLO can run, and grow the range of platforms it can run on," said Peter Baldwin, CEO of myrtle.ai. "We're excited to work with AMD, Silicom and Supermicro on this benchmark, to demonstrate how our combined technologies can enable ultra-low latency AI inference in quant trading."
"The future of financial markets will be shaped by AI systems that can interpret data and act on it in near real time," said Girish Malipeddi, director for Data Center FPGA business, AMD. "With AMD Versal™ Premium series adaptive SoCs at the foundation, myrtle.ai's VOLLO demonstrates how advanced, low-latency inference can help unlock a new generation of intelligent trading infrastructure."
"Supermicro continues to address a wide range of markets with our AMD systems, which were used for this STAC-ML benchmark," said Michael McNerney, Senior Vice President Marketing and Network Security, Supermicro. "Our servers address the most challenging workloads in the financial services industry, and together with partners, we are able to deliver top-end performance with very low latencies for machine learning workloads."
Anders Poulsen, VP Solutions at Silicom Denmark, said: "We're pleased that myrtle.ai selected Silicom's Artena accelerator card, based on AMD Versal Premium, for these tests. Built around one of the largest FPGAs in a PCIe form factor, Artena is an ideal platform for VOLLO. Together, VOLLO and our low-latency hardware deliver deterministic, microsecond-level inference for demanding trading workloads."
ML developers can evaluate today how their models could perform on VOLLO, without the need for any FPGA tools or expertise. For more details go to vollo.myrtle.ai or contact myrtle.ai today at fintech@myrtle.ai.
The full benchmark results are available in the STAC Report (SUT ID MRTL260323) at http://www.STACresearch.com/MRTL260323.
About myrtle.ai
Myrtle.ai is an AI/ML software company that delivers world-class inference accelerators on FPGA-based platforms from all the leading FPGA suppliers. With broad neural network expertise, myrtle.ai has delivered accelerators for applications including fintech, 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 logo, Versal, and combinations thereof are trademarks of Advanced Micro Devices, Inc.
[1] www.STACresearch.com/MRTL260323
Photo - https://mma.prnasia.com/media2/2965395/Myrtle_ai.jpg?p=medium600
Logo - https://mma.prnasia.com/media2/2965394/Myrtle_ai_Logo.jpg?p=medium600
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Myrtle.ai Halves Latency in Financial Machine Learning Inference Benchmark Record with VOLLO
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DUBAI, UAE, April 29, 2026 /PRNewswire/ -- Bybit, the world's second-largest cryptocurrency exchange by trading volume, has announced the launch of its "Master Trader's Showtime: TradFi vs Crypto," a multi-round global trading competition designed to highlight performance across traditional finance and cryptocurrency strategies, with a total prize pool of 200,000 USDT.
The competition will take place over two independent rounds. Round 1 is active now and will run until May 13, 2026, at 10:00 UTC, followed by Round 2 from May 18, 2026, at 10:00 UTC to June 2, 2026, at 10:00 UTC. Each round will feature its own leaderboard and prize pool of 100,000 USDT.
Participants will compete as Master Traders on Bybit Copy Trading, selecting either a Classic or TradFi trading category at registration. Rankings will be determined by a combination of total team trading volume and profit and loss performance, factoring in both Master Traders and their Followers. Followers are automatically enrolled upon copying a registered Master Trader.
To qualify for leaderboard placement, participants must meet minimum trading volume thresholds. Classic traders are required to reach at least 75,000 USDT in total Copy Trading volume, while TradFi participants must achieve at least 1,500,000 USDx. Each Master Trader must also maintain a minimum of 20 active Followers.
The competition will reward the top 50 Master Traders in each round. The first-place team will receive 25,000 USDT, followed by 12,000 USDT for second place and 8,000 USDT for third. Additional rewards will be distributed across lower-ranked positions, with payouts shared between Master Traders and their Followers. Master Traders receive 50 percent of total rewards, while the remaining portion is distributed proportionally among Followers based on trading volume.
In addition to leaderboard rewards, the event includes engagement-based incentives. During the first week of each round, users may allocate "likes" to Master Traders. If a liked trader finishes within the top three, eligible participants may share in a 1,000 USDT reward pool. Additional boosted rewards are available for users who both like and continue copying a Master Trader throughout the round.
Leaderboard standings will be updated daily on a T+1 basis, with final rankings verified following internal compliance and data reviews. Rewards will be distributed as USDT airdrops to eligible participants within 14 working days after the conclusion of each round.
Participation is subject to eligibility requirements, including identity verification and geographic restrictions. The event is not available to users residing in the European Economic Area. Institutional users and market makers are also excluded.
The tournament is designed to encourage competitive trading while reinforcing transparency and fairness across its Copy Trading ecosystem.
#Bybit / #NewFinancialPlatform
About Bybit
Bybit is the world's second-largest cryptocurrency exchange by trading volume, serving a global community of over 80 million users. Founded in 2018, Bybit is redefining openness in the decentralized world by creating a simpler, open and equal ecosystem for everyone. With a strong focus on Web3, Bybit partners strategically with leading blockchain protocols to provide robust infrastructure and drive on-chain innovation. Renowned for its secure custody, diverse marketplaces, intuitive user experience, and advanced blockchain tools, Bybit bridges the gap between TradFi and DeFi, empowering builders, creators, and enthusiasts to unlock the full potential of Web3. Discover the future of decentralized finance at Bybit.com.
For more details about Bybit, please visit Bybit Press
For media inquiries, please contact: media@bybit.com
For updates, please follow: Bybit's Communities and Social Media
Discord | Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube
DUBAI, UAE, April 29, 2026 /PRNewswire/ -- Bybit, the world's second-largest cryptocurrency exchange by trading volume, has announced the launch of its "Master Trader's Showtime: TradFi vs Crypto," a multi-round global trading competition designed to highlight performance across traditional finance and cryptocurrency strategies, with a total prize pool of 200,000 USDT.
The competition will take place over two independent rounds. Round 1 is active now and will run until May 13, 2026, at 10:00 UTC, followed by Round 2 from May 18, 2026, at 10:00 UTC to June 2, 2026, at 10:00 UTC. Each round will feature its own leaderboard and prize pool of 100,000 USDT.
Participants will compete as Master Traders on Bybit Copy Trading, selecting either a Classic or TradFi trading category at registration. Rankings will be determined by a combination of total team trading volume and profit and loss performance, factoring in both Master Traders and their Followers. Followers are automatically enrolled upon copying a registered Master Trader.
To qualify for leaderboard placement, participants must meet minimum trading volume thresholds. Classic traders are required to reach at least 75,000 USDT in total Copy Trading volume, while TradFi participants must achieve at least 1,500,000 USDx. Each Master Trader must also maintain a minimum of 20 active Followers.
The competition will reward the top 50 Master Traders in each round. The first-place team will receive 25,000 USDT, followed by 12,000 USDT for second place and 8,000 USDT for third. Additional rewards will be distributed across lower-ranked positions, with payouts shared between Master Traders and their Followers. Master Traders receive 50 percent of total rewards, while the remaining portion is distributed proportionally among Followers based on trading volume.
In addition to leaderboard rewards, the event includes engagement-based incentives. During the first week of each round, users may allocate "likes" to Master Traders. If a liked trader finishes within the top three, eligible participants may share in a 1,000 USDT reward pool. Additional boosted rewards are available for users who both like and continue copying a Master Trader throughout the round.
Leaderboard standings will be updated daily on a T+1 basis, with final rankings verified following internal compliance and data reviews. Rewards will be distributed as USDT airdrops to eligible participants within 14 working days after the conclusion of each round.
Participation is subject to eligibility requirements, including identity verification and geographic restrictions. The event is not available to users residing in the European Economic Area. Institutional users and market makers are also excluded.
The tournament is designed to encourage competitive trading while reinforcing transparency and fairness across its Copy Trading ecosystem.
#Bybit / #NewFinancialPlatform
About Bybit
Bybit is the world's second-largest cryptocurrency exchange by trading volume, serving a global community of over 80 million users. Founded in 2018, Bybit is redefining openness in the decentralized world by creating a simpler, open and equal ecosystem for everyone. With a strong focus on Web3, Bybit partners strategically with leading blockchain protocols to provide robust infrastructure and drive on-chain innovation. Renowned for its secure custody, diverse marketplaces, intuitive user experience, and advanced blockchain tools, Bybit bridges the gap between TradFi and DeFi, empowering builders, creators, and enthusiasts to unlock the full potential of Web3. Discover the future of decentralized finance at Bybit.com.
For more details about Bybit, please visit Bybit Press
For media inquiries, please contact: media@bybit.com
For updates, please follow: Bybit's Communities and Social Media
Discord | Facebook | Instagram | LinkedIn | Reddit | Telegram | TikTok | X | Youtube
** This press release is distributed by PR Newswire through automated distribution system, for which the client assumes full responsibility. **
Bybit Launches "Master Trader's Showtime: TradFi vs Crypto" Tournament With 200,000 USDT Prize Pool
