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Bit Digital, Inc. Announces Key Hires for Its HPC Business; Appoints Benjamin Lamson as Head of Revenue and Tom Sanfilippo as CTO

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NEW YORK, Sept. 20, 2024 /PRNewswire/ — Bit Digital, Inc. (Nasdaq: BTBT) (“Bit Digital” or the “Company”), a sustainable platform for digital assets and artificial intelligence (“AI”) infrastructure headquartered in New York, announced today that the Company has appointed Benjamin Lamson as Head of Revenue and Tom Sanfilippo as Chief Technology Officer (“CTO”). Both executives will report directly to CEO Sam Tabar and play critical roles in the growth and development of Bit Digital’s high-performance computing (“HPC”) business. The Company has also added additional headcount across sales and AI/ML engineering roles in an effort to scale its HPC business.

Benjamin Lamson joins Bit Digital as Head of Revenue, bringing a proven track record in scaling revenue and driving growth. Most recently, he served as Head of Paperspace Revenue at DigitalOcean from July 2023 to August 2024, following DigitalOcean’s acquisition of Paperspace. As Chief Revenue Officer at Paperspace, he led a transformative go-to-market strategy that resulted in a 350% increase in topline revenue over 18 months. Prior to Paperspace, Benjamin co-founded WeDidIt, which was later acquired by Allegiance Group, where he continued to lead as Vice President of Sales. His entrepreneurial mindset, combined with leadership roles in sales and customer success, positions him to drive significant impact as Bit Digital expands into high-performance computing. He holds a BA in Communications from American University.

Tom Sanfilippo brings decades of experience in systems programming and software development to Bit Digital. Before joining the Company, he was with DigitalOcean, following its acquisition of Paperspace in 2023. At Paperspace, where he served as Chief Technology Officer from 2016 to 2023, Mr. Sanfilippo led the development of the Core GPU Compute Cloud and Gradient AI/ML Platform. His extensive expertise also includes a nearly a decade at Microsoft, where he led one of the largest development teams in the Microsoft Office group working on the precursor to OneDrive. He also held senior technical roles at Groove Networks and was a Research Scientist at the OSF Research Institute. Earlier in his career, Mr. Sanfilippo was the Chief Technology Officer at The Ohio State University, where he directed technology initiatives across the campus, and in collaboration with the Big Ten, after holding various technical positions since 1985. Mr. Sanfilippo also studied Physics, Mathematics, and Philosophy at The Ohio State University. His deep expertise in cloud computing, AI/ML platforms, and software development will be pivotal in advancing Bit Digital’s high-performance computing initiatives.

Benjamin Lamson, Head of Revenue at Bit Digital, added: “I’m excited to lead Bit Digital’s new HPC division as we enter the AI/ML space with a fresh approach. With no legacy constraints, we’re focused on delivering high-performance, reliable, and affordable solutions that truly meet customer needs. I look forward to building a go-to-market team that drives meaningful impact.”

Tom Sanfilippo, Bit Digital’s CTO, remarked: “Bit Digital understands the intersection of HPC technology and the needs of AI innovators and customers with new accelerated compute applications. These innovators need the latest advances in HPC in a production-ready form, at scale, as quickly as possible. I am thrilled to be joining a team that shares this insight and a company that is so well is equipped to deliver on it.”

Sam Tabar, Bit Digital’s CEO, commented: “We are thrilled to welcome Benjamin Lamson and Tom Sanfilippo to Bit Digital. Their combined expertise in technology and go-to-market strategy will be instrumental in accelerating the growth of our HPC business. Tom’s deep experience in cloud computing and AI/ML platforms, alongside Ben’s proven track record in driving revenue and market expansion, will enable us to unlock new opportunities and enhance our service offerings. Their leadership comes at a pivotal time as we position Bit Digital as a major player in the HPC industry.”

About Bit Digital

Bit Digital, Inc. is a sustainable platform for digital assets and artificial intelligence (“AI”) infrastructure headquartered in New York City. Our bitcoin mining operations are located in the US, Canada, and Iceland. The Company has established a business line, Bit Digital AI, that offers infrastructure services for artificial intelligence applications. For additional information, please contact ir@bit-digital.com or visit our website at www.bit-digital.com.

Investor Notice

Investing in our securities involves a high degree of risk. Before making an investment decision, you should carefully consider the risks, uncertainties and forward-looking statements described under “Risk Factors” in Item 3.D of our most recent Annual Report on Form 20-F for the fiscal year ended December 31, 2023. If any material risk was to occur, our business, financial condition or results of operations would likely suffer. In that event, the value of our securities could decline and you could lose part or all of your investment. The risks and uncertainties we describe are not the only ones facing us. Additional risks not presently known to us or that we currently deem immaterial may also impair our business operations. In addition, our past financial performance may not be a reliable indicator of future performance, and historical trends should not be used to anticipate results in the future. Future changes in the network-wide mining difficulty rate or bitcoin hash rate may also materially affect the future performance of Bit Digital’s production of bitcoin. Actual operating results will vary depending on many factors including network difficulty rate, total hash rate of the network, the operations of our facilities, the status of our miners, and other factors.

Safe Harbor Statement

This press release may contain certain “forward-looking statements” relating to the business of Bit Digital, Inc., and its subsidiary companies. All statements, other than statements of historical fact included herein are “forward-looking statements.” These forward-looking statements are often identified by the use of forward-looking terminology such as “believes,” “expects,” or similar expressions, involving known and unknown risks and uncertainties. Although the Company believes that the expectations reflected in these forward-looking statements are reasonable, they do involve assumptions, risks and uncertainties, and these expectations may prove to be incorrect. Investors should not place undue reliance on these forward-looking statements, which speak only as of the date of this press release. The Company’s actual results could differ materially from those anticipated in these forward-looking statements as a result of a variety of factors, including those discussed in the Company’s periodic reports that are filed with the Securities and Exchange Commission and available on its website at http://www.sec.gov. All forward-looking statements attributable to the Company or persons acting on its behalf are expressly qualified in their entirety by these factors. Other than as required under the securities laws, the Company does not assume a duty to update these forward-looking statements.

 

 

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SOURCE Bit Digital, Inc.

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BinBase Expands 2026 BIN Dataset with Instant Payout Intelligence for iGaming, Gambling, and Cross-Border Transfers

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BinBase updates its 2026 dataset with specialized Fast Funds, Visa Direct, and Mastercard MoneySend indicators to help iGaming operators and payout platforms execute seamless, instant card disbursements.

MIAMI, July 23, 2026 /PRNewswire-PRWeb/ — BinBase, a global provider of payment routing intelligence and card issuing data, has introduced specialized instant payout indicators as part of its upgraded 2026 BIN Database. Tailored for iGaming operators, online gambling platforms, crypto-to-fiat ramps, and payout aggregators, the updated dataset helps platform engineers streamline real-time card disbursements and Push-to-Card (P2C) transactions.

In high-velocity sectors such as online betting and gaming, instantaneous player payouts are a primary driver of customer retention. However, executing Push-to-Card transactions through protocols like Visa Direct and Mastercard MoneySend requires knowing whether the receiving card issuer supports Fast Funds for specific merchant category codes (MCCs). Attempting instant payouts on non-eligible cards leads to declined transactions, elevated processing fees, and poor user experiences.

The 2026 BinBase release solves this operational bottleneck by delivering dedicated attributes for real-time fund disbursements:

Fast Funds Eligibility: Granular indicators identifying domestic and cross-border Fast Funds support across global Visa and Mastercard ranges.Online Gambling Fast Funds (OG FF): Dedicated flags specifically identifying card ranges authorized to receive real-time gambling and betting payouts.Mastercard MoneySend & Visa Direct Indicators: Precise protocol compatibility markers (MS Ind & MT Ind) ensuring push transactions are routed only to eligible recipient cards.Direct Debit & Pull-Funds Support: Indicators for recurring collections and account-funding transactions.

“Player payouts in iGaming cannot wait for standard 2-to-3-day ACH settlements,” said a spokesperson for Damiko Inc. “By embedding our Fast Funds and Gambling FF flags into their payment engines, operators can instantly validate recipient cards before initiating a transfer, guaranteeing high success rates and instant liquidity for their users.”

Fintech engineers and payout architects can examine the full 29-field database schema and access a free 2026 sample dataset on GitHub.

To explore commercial licensing, bulk database downloads, or custom data feeds, visit BinBase at https://binbase.com.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate processing fees.

Media Contact
Fedor Lavrikoff, BinBase, 1 7866133334, sales@binbase.com, www.binbase.com 

View original content:https://www.prweb.com/releases/binbase-expands-2026-bin-dataset-with-instant-payout-intelligence-for-igaming-gambling-and-cross-border-transfers-302829344.html

SOURCE BinBase

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Walnut Coding’s Young Coders Serve as ‘Instructors’ at Huawei Cloud Developer Training Camp

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Ages 8 and 15, students showcase AI-era project-building skills from concept to working application

BEIJING, July 23, 2026 /PRNewswire/ — Walnut Coding (the “Company”), a leading online platform for youth coding education, said two of its students – ages 8 and 15 – have joined the “instructor” lineup at Huawei Cloud Developer Training Camp, making them among the youngest “instructors” in the program’s history. The Company cites the pair as a prime example of how young learners can combine coding fundamentals with AI tools to turn ideas into working applications.

The two students, Bolin Du, 8, and Peiqi Gao, 15, built working applications using Huawei Cloud CodeArts, an AI coding assistant, then presented the projects to the training camp themselves – walking the audience through their design choices, technical builds, and debugging process.

The move lands at a moment when AI coding tools are forcing a rethink across the education sector. Tools that can generate functioning code from a plain-language prompt have undercut the traditional argument for teaching children to program – that they need the skill to build things themselves. Walnut Coding’s answer is that the more valuable skill now is judgment – knowing what problem to solve, breaking it into parts, and determining whether an AI’s output actually works.

Gao built a travel-planning application that generates routes, itineraries, and recommendations based on user input, handling the project end to end, from requirements and design through coding and debugging. Du, the younger of the two, built an interactive calendar application, using HTML for page structure, CSS for visual design, and JavaScript for interactive features. Both students then took on an instructor’s role at the camp, presenting their project goals and technical implementation to the audience – a step Walnut Coding says separated the work from a typical classroom assignment.

These were not classroom exercises but working projects, built and presented inside a professional developer-training environment. The experience demanded more from both students than simply producing something functional – they needed to articulate their reasoning, defend technical choices, and refine the final result under scrutiny. Their participation signals a broader shift underway in what youth coding education can deliver.

AI is making code generation easier, but it is also redrawing which skills actually matter. A student who relies only on one-click generation may get a rough prototype quickly, but still struggle to spot logical flaws, judge whether the output is reliable, or turn an abstract idea into a product that actually works. Students with programming foundations, by contrast, are better positioned to define requirements, evaluate what the AI produces, correct its errors, and treat the technology as a tool rather than a shortcut to lean on.

“AI can help children generate code faster, but it cannot decide for them what problem they should solve, nor can it make the final judgment about whether the result is truly effective,” said Pengxuan Zeng, founder and CEO of Walnut Coding. “What these two students demonstrated is not just coding technique, but the ability to define needs, break down tasks, verify outcomes, and turn an idea into a working product. That is why we believe young people still need to learn programming in the AI era.”

Walnut Coding structures its courses around that thesis, pairing student-led project work with teaching-assistant guidance and AI-assisted support. According to the Company, this data is continuously fed back into its systems to refine the personalization of AI-assisted feedback — a closed-loop process linking teaching, practice, feedback, and curriculum development.

The Company frames the payoffs less around producing professional software engineers than around a broader form of literacy. As AI continues to reshape how tasks get done, the ability to understand the technology, structure problems clearly and collaborate effectively with intelligent tools may prove one of the most durable skills a young learner can develop.

Walnut Coding says it plans to keep expanding opportunities for students to build practical projects, partner with industry technology platforms such as Huawei Cloud, and develop the core capabilities needed to build with technology in the AI era.

View original content:https://www.prnewswire.com/news-releases/walnut-codings-young-coders-serve-as-instructors-at-huawei-cloud-developer-training-camp-302833884.html

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MOREH Showcases High-Performance LLM Inference on AMD GPUs at AMD Advancing AI 2026

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SAN FRANCISCO, July 23, 2026 /PRNewswire/ — Moreh, an AI infrastructure software company, led by CEO Gangwon Jo, participated in AMD Advancing AI 2026, AMD’s flagship annual AI event held in San Francisco on July 22–23 (local time), where it demonstrated its distributed inference solution, the MoAI Inference Framework, running on AMD GPUs.

At the event, Moreh presented a live demonstration of the GLM-5.1 large language model (LLM) powered by the MoAI Inference Framework on a system equipped with 32 AMD Instinct™ MI300X GPUs across four nodes. Visitors experienced the chatbot firsthand, evaluating its response speed and service quality while observing performance across a range of real-world use cases.

Unlike conventional demonstrations that simply run an AI model, Moreh’s showcase displayed key inference service metrics in real time, including GPU utilization, Tokens Per Second (TPS), Time To First Token (TTFT), and Time Per Output Token (TPOT). This enabled attendees to directly verify both inference performance and GPU resource efficiency in a production-like service environment.

Global AI industry leaders and enterprise customers attending the event expressed strong interest in the system’s fast response times and stable performance. In particular, the live deployment of the computationally demanding GLM-5.1 model on AMD GPUs at production-grade service levels received positive feedback from visitors.

Moreh’s MoAI Inference Framework is widely recognized as the world’s first commercially deployed distributed inference solution built for the AMD ecosystem. Its distributed inference and heterogeneous computing technologies are designed to dramatically reduce AI service costs, enabling broader adoption of AI worldwide. The technology addresses one of the industry’s biggest challenges-the rapidly rising infrastructure and service costs caused by increasingly larger AI models-by delivering a more efficient inference infrastructure.

Moreh CEO Gangwon Jo stated, “This event provided an opportunity for global customers to verify firsthand that top-tier inference performance can be achieved on AMD GPU environments,” and added “We will continue advancing our AI infrastructure software so enterprises can operate AI services as efficiently as possible, regardless of the underlying GPU platform.”

Moreh develops its own AI infrastructure engine and has expanded its end-to-end AI capabilities through its foundation LLM subsidiary, Motif Technologies, covering both AI infrastructure and foundation models. The company is also strengthening its presence in the global AI market through strategic partnerships with leading technology companies, including AMD and Tenstorrent.

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SOURCE Moreh

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