Conferences / STAC Summit
STAC Summit New York, Fall 2026
Oct 21, 2026 · New York Marriott Marquis, New York, NY, United States
- Conference
- STAC Summit Vendor & industry
- Dates
- Oct 21, 2026
- Venue
- New York Marriott Marquis
- Place
- New York, NY, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- stacresearch.com
- Recorded
- 50 sponsors · 71 speaker appearances
- Notes
- Event page states 60+ speakers and 45+ exhibitors. One-day event. Speakers: full agenda as published on the event page (Agorify agenda embed); affiliations as listed at the time. Sponsorship/exhibitor packages are not priced publicly (stacresearch.com events page offers only 'Become a sponsor' / 'Apply to speak' contact links, no CFP deadline); STAC says its summits draw practitioners from '600+ financial services firms' (no per-event headcount).
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Financial-firm practitioners | $0 | — | Event page: 'FREE For Financial Firms'. Vendor attendance is via sponsorship/exhibiting; no vendor ticket price stated. | stacresearch.com |
Sponsors 50
Gold 16
Silver 10
Other 19
- Amulet Hotkey · Additional Exhibitors
- Arista · Additional Exhibitors
- Axellio · SUPPORTING and Additional Sponsors
- Celestica · SUPPORTING and Additional Sponsors
- CoreWeave · Additional Exhibitors
- d-Matrix · Tech discovery
- Exegy · Tech discovery
- LDA Technologies · SUPPORTING and Additional Sponsors
- Liquid Technology · Additional Exhibitors
- Liquid-Markets · Tech discovery
- Meinberg · SUPPORTING and Additional Sponsors
- MinIO · Additional Exhibitors
- Molex · SUPPORTING and Additional Sponsors
- Myrtle.ai · Tech discovery
- Napatech · Additional Exhibitors
- NEOX Networks · Additional Exhibitors
- Siemens · Additional Exhibitors
- Silicon Creations · Additional Exhibitors
- Sunbird · Additional Exhibitors
Speakers and talks 71
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Aaron Foo | FMADIO | Speaker | Completing the capture ecosystem - From tap to capture to cloud | — |
| Adil Rahman | KIOXIA | Speaker | KIOXIA: Shaping the future of enterprise & AI storage | — |
| Allen Brokken | Speaker | Accelerating alpha with Google Cloud | — | |
| Arnav Khare | Amazon Web Services | Panelist | Closed vs open: Specialized AI systems for quant finance | — |
| Bill Mandra | Options Technology | Speaker | From trading infra to AI infra, navigating trends and challenges on datacenter strategy | — |
| Boris Litvin | Amazon Web Services | Speaker | OpenGRIS: An open standard for distributed resource scheduling | — |
| Brendan McDermott | Lenovo | Speaker | Lenovo and AMD MEXT AI-Powered Predictive Memory | — |
| Brian Pomraning | Broadridge | Speaker | Data infrastructure for trading without an end of day | — |
| Christopher Wilson | 28Stone Consulting | Panelist | Beyond colocation: Designing the cloud-native exchange | — |
| Ciaran Kennedy | Blackcore Technologies | Speaker | Blackcore®: Performance so good it Hz. | — |
| Cliff Maddox | Exegy | Speaker | Architecting for speed & scale in capital markets | — |
| Davor Frank | AMD | Speaker | Accelerating AI and low latency with AMD | — |
| Davor Frank | AMD | Panelist | When bandwidth is king, what happens to latency? | — |
| Delvon Jones | Hewlett Packard Enterprise | Speaker | Agentic AI: Threat, Capability, and Economics | — |
| Denis Reilly | Safran | Speaker | TimeLynx: Traceable, GNSS-independent time as a service | — |
| Devina Jain | Lambda | Speaker | FSI at Lambda: Research at the edge, performance in production | — |
| Drishti Rellan | UBS | Speaker | AI-driven product experimentation: Using A/B testing and generative AI to build better trade-ordering infrastructure | — |
| Fred Shubert | Jabil | Speaker | Jabil - Enterprise infrastructure for critical FSI workloads | — |
| Greg Law | Undo | Speaker | Runtime context for complex code | — |
| Hariom Tatsat | Barclays | Speaker | Beyond the black-box: Interpretability of Agentic AI | — |
| Irene Aldridge | ABLE Alpha Trading Ltd | Speaker | Purpose-built agentic AI systems for finance | — |
| Ismaeel Bashir | Expanse | Speaker | Requested vs. used: Sizing workloads before they run | — |
| Jack Gidding | STAC | Speaker | STAC Trade Flow Research & Benchmarks | — |
| Jack Gidding | STAC | Speaker | Where financial technology is heading, and what the evidence says | — |
| Jacob Loveless | L Labs PBC | Speaker | All L broke loose | — |
| James Corcoran | STAC | Speaker | STAC Analytics & ML Benchmarks: New entrants, new results, and the case for adjoint algorithmic differentiation in risk analytics | — |
| James Corcoran | STAC | Speaker | Welcome to the STAC Summit AI Track | — |
| James Corcoran | STAC | Speaker | STAC Research: Benchmarking the performance of quant research agents | — |
| James Corcoran | STAC | Speaker | STAC LLM Inferencing Benchmark Results | — |
| Jeff Chu | Penguin Solutions | Speaker | Finding the ‘Easy Button’ for AI infrastructure for more efficient and predictable outcomes | — |
| Jessica Nicholson | Lambda | Speaker | FSI at Lambda: Research at the edge, performance in production | — |
| Joe Fuchs | Hewlett Packard Enterprise | Speaker | The tail is the story | — |
| John Burie | Hypertec | Speaker | Nanoseconds matter. Consistency wins: Technical advantages for financial trading infrastructure | — |
| John Lowrey | Imbrium Consultants | Speaker | The AI cost conundrum: Capital markets and quantitative hedge funds at the crossroads | — |
| Joseph Koelle | JetCool | Speaker | From silicon to system: The performance impact of liquid cooling | — |
| Joshua Segovia | Intel | Speaker | Best practices for reducing neural network latency: PyTorch accelerated by Intel Advanced Matrix Extensions | — |
| Kam Eshghi | d-Matrix | Speaker | Breaking the Memory Bottleneck in AI Inference | — |
| Keith Kennedy | Cognetryx | Panelist | Closed vs open: Specialized AI systems for quant finance | — |
| Kevin Formby | Keysight | Speaker | Evolution of PTP | — |
| Louis Liu | Shengli Technologies | Speaker | Breaking the latency barrier: Shengli’s latest 1+FPGA switches & China’s seismic trading landscape shifts | — |
| Matthew Dixon | BeliefLens | Speaker | Building, adapting, and governing large financial language models | — |
| Michael Fernandez | AMD | Speaker | AMD AI Solutions | — |
| Milan Dvorak | Magmio | Panelist | When bandwidth is king, what happens to latency? | — |
| Moiz Kohari | DDN | Speaker | AI Inference – Memory Capacity Challenge | — |
| Molly Presley | Hammerspace | Speaker | HPC performance. Standards-based. Built for AI. A modern data architecture for quantitative trading | — |
| Nick Lange | Morgan Stanley | Panelist | When bandwidth is king, what happens to latency? | — |
| Nicolas Hourcard | QuestDB | Speaker | Data infrastructure for trading without an end of day | — |
| Pearce Peck-Walden | CME Group | Panelist | Beyond colocation: Designing the cloud-native exchange | — |
| Peter Baldwin | Myrtle.ai | Speaker | AI inference: does optimizing latency mean sacrificing model flexibility? | — |
| Peter Cotton | Global Strategic Minerals Corporation | Speaker | Order imbalance is just a change of coordinates: An elegant trading symmetry. | — |
| Quinn Kennedy | Lambda | Speaker | Usable FLOPS per dollar: the insight that built Lambda | — |
| Raj Sugathan | Supermicro | Speaker | Supercharging network latency for capital efficiency | — |
| Rebecca Kelly | Inqdata | Speaker | Sharding for speed: Making OPRA data accessible at scale | — |
| Rolf Andersson | Sequitor Engineering AB | Panelist | Beyond colocation: Designing the cloud-native exchange | — |
| Samuel Cheung | MiTAC Computing | Speaker | MiTAC STAC-AI & STAC-ML Benchmark Results | — |
| Scott Caudell | Panelist | Beyond colocation: Designing the cloud-native exchange | — | |
| Scott Schweitzer | SmartNICs Today | Panelist | When bandwidth is king, what happens to latency? | — |
| Sean Colman | Everpure | Speaker | Loading 20 years of tick data in 50 seconds: Seeking alpha at 10TB/s | — |
| Seth Friedman | Liquid-Markets | Panelist | When bandwidth is king, what happens to latency? | — |
| Seth Friedman | Liquid-Markets | Speaker | ÜberNIC. The latest! | — |
| Seth Friedman | Liquid-Markets | Speaker | AI-infused financial services optimizing the data path via PCIe efficiency improvements | — |
| Shahzada Sufyan | Supermicro | Speaker | Optimizing HPC performance & TCO for FSI workloads | — |
| Stefano Fabbri | OpenAl | Speaker | Frontier AI for quantitative finance: From reasoning to research | — |
| Stewart Orrell | ZutaCore | Speaker | 2-phase Liquid Cooling – Evolving the cold plate | — |
| Ted Hruzd | AI-FIT LLC | Panelist | Closed vs open: Specialized AI systems for quant finance | — |
| Thomas Isakovich | Nimbus Data | Speaker | Maximizing compute utilization, performance and scale with low latency flash memory fabrics | — |
| Timothy Murphy | Aria Networks | Speaker | Token factory economics | — |
| Timur Ozcan | NEOX Networks | Panelist | When bandwidth is king, what happens to latency? | — |
| Tom Coombs | Orthogone Technologies | Speaker | One interface, many cards: De-risking FPGA application development for ultra-low-latency trading | — |
| Vid Jain | d-Matrix | Panelist | Closed vs open: Specialized AI systems for quant finance | — |
| Zac Akers | Dell Technologies | Speaker | Dell AI infrastructure | — |