Conferences / STAC Summit
STAC Summit New York, Spring 2026
May 20, 2026 · New York Marriott Marquis, New York, NY, United States
- Conference
- STAC Summit Vendor & industry
- Dates
- May 20, 2026
- Venue
- New York Marriott Marquis
- Place
- New York, NY, United States
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- stacresearch.com
- Recorded
- 49 sponsors · 61 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 49
Platinum 3
Gold 13
Silver 12
Other 21
- Adtran · Additional Exhibitors
- Global AI · Additional Exhibitors
- Hudson River Trading · SUPPORTING and Additional Sponsors
- Hypertec · Additional Exhibitors
- ICC (Intelligent Computing Concepts) · Additional Exhibitors
- Jabil · Additional Exhibitors
- LDA Technologies · SUPPORTING and Additional Sponsors
- Lightbits Labs · Additional Exhibitors
- Liquid Technology · Additional Exhibitors
- MiTAC Computing · Additional Exhibitors
- Molex · Additional Exhibitors
- Napatech · Additional Exhibitors
- NEOX Networks · Additional Exhibitors
- Orthogone Technologies · Additional Exhibitors
- Safran · Additional Exhibitors
- Servers.com · Additional Exhibitors
- SHI International Corp · SUPPORTING and Additional Sponsors
- Siemens · Additional Exhibitors
- Silicon Creations · Additional Exhibitors
- Sunbird · Additional Exhibitors
- VAST Data · Additional Exhibitors
Speakers and talks 61
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Aaron Blogg | JPMorgan Chase | Panelist | Scaling AI in the enterprise | — |
| Aaron Foo | FMADIO | Speaker | Capture simplified: From tap to cloud | — |
| Adam Goshorn | JetCool | Speaker | Scaling Deterministic Performance in Existing Colocation Environments with Liquid Cooling | — |
| Adam Sherer | Cadence | Speaker | Heuristics Inform Trading Strategies: It’s About Time | — |
| Alan McSeveney | WEKA | Speaker | Turn Your AI Factory Into a Lean, Mean Token Machine | — |
| Andrea Moccia | Options Technology | Speaker | Zero ontology: Extracting structured knowledge from SEC filings with KV-accelerated LLMs | — |
| Andrea Suardi | Xelera | Speaker | Sub-microsecond ML inference — Three execution modes, one API | — |
| Annie Ma-Weaver | Speaker | Accelerating Alpha with Google Cloud | — | |
| Brian Pomraning | Broadridge | Speaker | Rethinking the OMS: Modern architectures for modern markets | — |
| Buster Hägg | BSI | Speaker | Cold Climate, Hot Compute: The Move to the Nordics | — |
| Christopher Botka | Dell Technologies | Speaker | Dell AI Data Platform with PowerScale | — |
| Conal Doyle | KX | Speaker | High-Performance Analytic Solutions: Across The Trade Lifecycle | — |
| Conor Twomey | AI One | Panelist | Scaling AI in the enterprise | — |
| David Fellah | Broadridge | Speaker | Rethinking the OMS: Modern architectures for modern markets | — |
| Dhagash Mehta | BlackRock | Speaker | AlphaAgents: Large Language Model based multi-agents for equity portfolio construction | — |
| Dhagash Mehta | BlackRock | Panelist | Scaling AI in the enterprise | — |
| Emilio Andere | Wafer | Panelist | Beyond peak FLOPs: Memory and modern inference silicon | — |
| Jack Gidding | STAC | Speaker | STAC Insights: Trade Flow | — |
| Jack Gidding | STAC | Speaker | Welcome | — |
| James Corcoran | STAC | Speaker | Welcome | — |
| James Corcoran | STAC | Speaker | STAC Insights: Analytics | — |
| James Corcoran | STAC | Speaker | STAC Insights: Machine Learning & AI | — |
| James Lupton | Blackcore Technologies | Speaker | How Benchmarking Strategy Impacts R&D, Supply Chains, and Technology Partnerships. | — |
| Jeff Chu | Penguin Solutions | Speaker | The Real Reason Why AI Initiatives Fail | — |
| Jessica Nicholson | Lambda | Speaker | From GPUs to Production: How Financial Institutions Deploy AI with Hands-On ML | — |
| Jim McGhee | A10 Networks | Speaker | Why Consistent Infrastructure Performance Matters in Trading | — |
| Joe Fuchs | Hewlett Packard Enterprise | Speaker | Two World Records. One Vendor. Financial-Grade Production Hardware | — |
| Joshua Segovia | Intel | Speaker | Quantifying HPC Performance and Efficiency with STAC-A2 | — |
| Karan Nisar | Weights & Biases | Speaker | Built for Large-Scale Agentic Quant Research | — |
| Kevin Formby | Keysight | Speaker | Tap to Trade | — |
| Laurent DeBarry | Exegy | Speaker | Conquering Latency & Capacity Strain with Smarter Infrastructure | — |
| Luis Ancajas | Micron | Speaker | Memory is the new bottleneck, and it's now software-defined | — |
| Marj Samkough | Lenovo | Speaker | AI Inferencing at Scale | — |
| Matt Davey | Pico | Speaker | From packets to prompts: Self-service exploration of Corvil data | — |
| Matthew Certosimo | AMD | Speaker | AMD FPGA Update: STAC-ML Benchmarks and CXL with Versal Premium Gen2 | — |
| Matthew Klos | IBM | Speaker | The Future of Enterprise AI: Maximizing AI Yield in the Token Economy | — |
| Matthew Pest | Edgehog Trading | Speaker | Using LLMs for highly agentic SystemVerilog development | — |
| Maxwell Weigel | Arista | Speaker | The Next Generation of 7130 | — |
| Meg McNulty | Cosmic Labs | Panelist | Beyond peak FLOPs: Memory and modern inference silicon | — |
| Michael Gorbovitski | Virtu | Panelist | Beyond peak FLOPs: Memory and modern inference silicon | — |
| Michael Watson | Supermicro | Speaker | AI Inference at Market Velocity | — |
| Michael Watson | Supermicro | Speaker | AI Factory for Market Operations | — |
| Milan Dvorak | Magmio | Speaker | Building low-latency, FPGA-based tick-to-trade systems in C++ | — |
| Miles Dawborne | Azul | Speaker | The Java Platform Built for Trading | — |
| Nick Oropall | IBM | Speaker | Modernize core systems into engines of innovation | — |
| Peter Decrem | Citi | Panelist | Scaling AI in the enterprise | — |
| Phil King | Intel | Speaker | Accelerating Monte Carlo with Intel®️ Math Kernel Library | — |
| Praveen Mallya | DDN | Speaker | Predicting AI Inference Efficiency Under Realistic Mixed Workloads | — |
| Ramy Jaber | Cerebras | Panelist | Beyond peak FLOPs: Memory and modern inference silicon | — |
| Richard Hoptroff | Hoptroff | Speaker | STAC Independent Testing of Hoptroff Time as a Service | — |
| Richard Ross | Independent | Panelist | Beyond peak FLOPs: Memory and modern inference silicon | — |
| Rob Glanzman | Everpure | Speaker | Alpha Without the Overhead: Simplifying the Modern Quant Data Pipeline | — |
| Sean Kenney | Celestica | Speaker | High-Performance AI Infrastructure Built on Open Standards | — |
| Sean Smith | Lambda | Speaker | From GPUs to Production: How Financial Institutions Deploy AI with Hands-On ML | — |
| Seth Friedman | Liquid-Markets | Speaker | ÜberNIC The Growth Accelerates | — |
| Stewart Orrell | ZutaCore | Speaker | 2-phase liquid cooling for High Performance Financial Computing | — |
| Tal Fishman | Lord Abbett & Co | Speaker | Evolving the Quant Finance Workflow in the Age of AI | — |
| Tom Lagatta | Myrtle.ai | Speaker | Barriers Broken in ML Inference Latency | — |
| William Tegel | The Open Markets Initiative | Speaker | Open Markets Initiative: Structured infrastructure for electronic markets | — |
| Yuliang Li | Speaker | Firefly: Scalable, Ultra-Accurate Clock Synchronization for Datacenters | — | |
| Yuyu Fan | AllianceBernstein | Panelist | Scaling AI in the enterprise | — |