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Conferences / STAC Summit

STAC Summit New York, Fall 2025

Oct 28, 2025 · New York Marriott Marquis, New York, NY, United States

Conference
STAC Summit Vendor & industry
Dates
Oct 28, 2025
Venue
New York Marriott Marquis
Place
New York, NY, United States
Format
In person
Status
Past
Attendance
—
Website
docs.stacresearch.com
Recorded
39 sponsors · 60 speaker appearances
Notes
One-day event. Speakers: full agenda as published on the event page (Agorify agenda embed); affiliations as listed at the time. No ticket price stated on the event page (STAC Summits are generally free for qualified financial-firm practitioners; not stated for this edition).

Ticket prices

No ticket prices recorded

Sponsors 39

Platinum 3

Gold 8

Bronze 12

Other 16

Speakers and talks 60

SpeakerCompanyRoleTalkLinks
Aaron FooFMADIOSpeakerFMADIO: Completing the capture ecosystem. From tap to capture to cloud.—
Alan ZacconeCoreWeaveSpeakerHigh-Performance Infrastructure for AI Research: CoreWeave × W&B—
Alastair RichardsonAMDSpeakerAdapting to new CPU Architectures and Accelerating the Network—
Alex LiuFuriosaAIPanelistFrom the model to the metal: Optimizing the LLM and compute stack for peak inference efficiency—
Alex Tibbles, CISSPTassatSpeakerInterrupting the agentic kill chain: defending autonomous systems—
Andrea SuardiXeleraSpeakerDeterministic ultra-low latency inference for Gradient Boosted Trees in trading—
Annie Ma-WeaverGoogleSpeakerNew products from Google Cloud to enable your HPC workloads—
Ariye ShaterBarclaysSpeakerBeyond the black box: Interpretability of LLMs in finance—
Attila NarinOracleSpeakerAI Innovation - Oracle Cloud Infrastructure—
Bob Van ValzahResearching in RetirementSpeakerThe last nanoseconds to UTC—
Brian KurtzPositronPanelistFrom the model to the metal: Optimizing the LLM and compute stack for peak inference efficiency—
Camille FournierCoreWeavePanelistControl or convenience? The architecture trade-offs behind AI-as-a-Service—
Chris KitchingSpectral ComputeSpeakerThe ultimate arbitrage: A pathway to heterogeneous GPU acceleration in financial computing—
Cliff MaddoxNovaSparksSpeakerDeterministic Market Data at Scale for the Enterprise Using FPGAs—
Daniel WisehartWyoming Financial TradingSpeakerFrom FPGA to ASIC: Exploring Open-Source Design for Trading Systems—
David BresslerCockroach LabsSpeakerDual-writes problem amplification for AI—
David LariviereUniversity of Illinois Urbana-ChampaignPanelistInnovation in Trading: Staying Ahead of the Curve—
Denis ReillySafranSpeakerTimeLynx by Safran—
Dino VitaleTD SecuritiesPanelistControl or convenience? The architecture trade-offs behind AI-as-a-Service—
Faisal DadaAMDSpeakerIntroducing the next generation AMD Low Latency NIC—
George LevinAlgoX2PanelistStreaming under pressure: Adapting messaging platforms for new data demands—
Greg LawUndoSpeakerAgentic Debugging Using Time Travel—
Hunter AlmgrenHewlett Packard EnterpriseSpeakerAI Trading Factories—
Jack GiddingSTACSpeakerWelcome—
Jack GiddingSTACSpeakerSTAC Insights: the latest from STAC—
Jack GiddingSTACSpeakerAfternoon Welcome—
Jack KiernanEtchedPanelistFrom the model to the metal: Optimizing the LLM and compute stack for peak inference efficiency—
James CorcoranSTACSpeakerSTAC Insights: Latest analytics benchmarks—
James CorcoranSTACSpeakerSTAC Insights: GPU performance, deployment models, and evaluation methods for AI in finance—
James CorcoranSTACSpeakerSTAC Insights: Fast machine learning stacks for price forecasting—
James LuptonBlackcore TechnologiesSpeakerAccelerating Next-Gen Low-Latency NICs with Blackcore®️ Overclocking—
Jeff ChuPenguin SolutionsSpeakerMaximizing GPU availability in NVIDIA Clusters through autonomous remediation—
Joe SteinerDell TechnologiesSpeakerOptimizing Data and Performance, "Every Second Counts"—
John GustafsonVQ ResearchSpeakerRethinking precision: Why floating-point math could be costing you money—
Joshua SegoviaIntelSpeakerDriving Performant CPU-Based Neural Network Inference with Intel AMX—
Kevin GildeaIntelSpeakerThe Fast Lane: Low-Latency Systems for Time-Series Analytics—
Krista Sticco CarrAll Rise AdvisoryPanelistInnovation in Trading: Staying Ahead of the Curve—
Lasse JohnsenTimebeatSpeakerWhite Rabbit Unlocked: Vendor Choice in Precision Timing—
Laurent de BarryExegySpeakerFrom Speed to Scale: Rethink Trading Infrastructure with Exegy Nexus—
Marc FisherLenovoSpeakerLenovo Innovation Roundup—
Marc PintoAdaptiveSpeakerState Machine Replication: Or how I learned to stop worrying and love distributed architectures—
Mark NaguibTecharySpeakerLogistical latency - decrease your time to deploy—
Michael Gorbovitskiex-Morgan StanleyPanelistInnovation in Trading: Staying Ahead of the Curve—
Michael WatsonSupermicroSpeakerAI-Driven Innovation Supermicro Solutions for Low Latency Trading—
Michael WatsonSupermicroSpeakerAI-Driven Innovation: Supermicro Solutions for Financial Services—
Mike DunneChiral Financial TechnologySpeakerNext Generation Market Data and Analytics—
Peter BaldwinMyrtle.aiSpeakerModel Evolution in Lowest Latency ML Inference—
Pramod ViswanathPrinceton UniversitySpeakerAgents with wallets: Risks and fiduciary duty in high-stakes AI—
Raymond RussellPicoSpeakerRadio/Fiber arbitration: a deep-dive into low-latency networking over mixed media—
Rob GlanzmanPure StorageSpeakerPure Data Architecture: Redefining Acceleration Beyond GPUs—
Rob HirschfeldRackNSpeakerA Controlled Burn? The AI Cash Inferno—
Ryan BallantineOptions TechnologySpeakerMarket data meets the private mind: Orchestrating agents in the data center—
Sai Teja AkulaBroadridgePanelistControl or convenience? The architecture trade-offs behind AI-as-a-Service—
Seth FriedmanLiquid-MarketsSpeakerÜberNIC Update - Expanding Scope and Scale—
Shreejith BillenahalliNYSEPanelistStreaming under pressure: Adapting messaging platforms for new data demands—
Thomas SheeranLambdaSpeakerThe Superintelligence Cloud: Powering the Next Era of Intelligence.—
Tom CoombsOrthogone TechnologiesSpeakerFaster Trades with Ultra-Low-Latency Using Orthogone Framework 1.7—
Vlad IlyushchenkoQuestDBPanelistStreaming under pressure: Adapting messaging platforms for new data demands—
Yousuf KhanAMDSpeakerBuilding the future of AI data centers with open systems—
Zev RekhterEvergrid AIPanelistFrom the model to the metal: Optimizing the LLM and compute stack for peak inference efficiency—

Sources