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🤖The NVIDIA Jetson Orin Nano: Unlocking New Potential for Theta Network🤖
December 22, 2024
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The NVIDIA Jetson Orin Nano: Unlocking New Potential for Theta Network’s IoT Edge Revolution  ((From Smart Surveillance to Federated AI — Discover How Jetson Orin Nano Redefines Edge Intelligence for the Theta Network))

As the world of edge computing evolves, Theta Network is at the forefront of decentralized innovation, about to shock the world with its tech. Traditionally known for powering content delivery and video streaming, Theta’s role is rapidly expanding to include the Internet of Things (IoT), AI processing  and AI-powered edge computing. Contributing, in its own way, to this shift is hardware like the NVIDIA Jetson Orin Nano Super Developer Kit — a compact, AI-enabled edge device designed to handle computationally intensive AI tasks at the network’s edge. While it’s not an ideal choice for a typical Theta Edge Node due to its hardware limitations, its true potential lies in IoT and edge AI applications. Here, we’ll explore the limitations of the Jetson Orin Nano as a traditional Theta Edge Node and highlight its numerous strengths in IoT-related use cases.

 

The NVIDIA Jetson Orin Nano Falls Short as a Standard Theta Edge Node

A conventional Theta Edge Node is responsible for handling decentralized video streaming, file relay, and computational tasks that require robust CPU, memory, and storage capacity. Here’s how the Jetson Orin Nano’s specs compare to the ideal requirements for Theta Edge Nodes:

CPU: The Jetson Orin Nano’s 6-core Arm Cortex-A78AE CPU has sufficient cores, but its ARM-based architecture is less powerful than the x86/x64 CPUs found in modern desktops and servers.

Memory: With 8GB of LPDDR5 RAM, the Jetson Orin Nano falls short of the recommended 16GB or more for efficient Theta Edge Node operation, especially for video buffering, file transfers, and handling concurrent tasks.

Storage: The Jetson Orin Nano typically relies on eMMC or microSD storage, which is slower and smaller in capacity than the 256GB SSD recommended for Theta’s Edge Nodes.

Network: With gigabit Ethernet support, the Jetson Orin Nano meets Theta’s 5 Mbps minimum upload/download requirement.   (GOOD!  We can still use it!!)

GPU: The Jetson Orin Nano’s strongest feature is its GPU, which offers 67 TOPS of AI compute power. While traditional Theta Edge Nodes don’t necessarily require GPU acceleration, this capability opens doors for AI-enhanced workloads.  

These limitations make the Jetson Orin Nano unsuitable as a primary Theta Edge Node for file relay, large-scale content delivery, or intensive video streaming. However, its AI and IoT strengths present a different story — one where the Jetson Orin Nano could play a game-changing role in IoT-driven Edge AI applications.

 

Where the Jetson Orin Nano Excels: IoT Applications for Theta Network

While the Jetson Orin Nano may not be ideal for a traditional Theta Edge Node, it excels in IoT applications where low-latency AI, real-time data processing, and edge intelligence are critical. Here’s how this device’s unique features create new possibilities for Theta’s role in IoT ecosystems.

1. Smart Video Transcoding at the Edge

How it works: The Jetson’s GPU can transcode video from surveillance cameras in real time, converting it to efficient formats like H.264 or H.265 before uploading it to Theta’s network.

Use case: Imagine a network of smart cameras at a construction site, each streaming raw video. Instead of uploading raw video, the Jetson Orin Nano processes it on-site, reducing bandwidth usage while maintaining high-quality video.

2. AI-Powered Object Detection and Analytics

How it works: Using computer vision models (like YOLOv8), the Jetson’s AI engine identifies objects and patterns in images and video streams.

Use case: In wildlife monitoring, trail cameras often capture thousands of images, most of which are empty. The Jetson Orin Nano can automatically filter out empty images and only upload images containing animals to Theta’s Edge Nodes. This minimizes storage and bandwidth usage.

3. IoT Gateway for Smart Home Systems

How it works: The Jetson Orin Nano acts as a hub for smart home IoT devices, collecting and processing data from air quality monitors, motion sensors, and thermostats.

Use case: In a smart home, IoT sensors collect vast amounts of raw data. The Jetson can preprocess this data and only send significant events (like temperature spikes) to Theta’s Edge Nodes, cutting down on unnecessary network usage.

4. Predictive Maintenance for Industrial IoT

How it works: IoT sensors on industrial machinery send vibration, sound, and temperature data to the Jetson, which uses AI models to predict equipment failures.

Use case: A factory’s HVAC system might show early signs of failure (like abnormal vibration). The Jetson’s AI system detects this anomaly and uploads a maintenance alert to Theta’s network, preventing costly downtime.

5. Decentralized Federated Learning for AI Models

How it works: Federated learning allows devices to train machine learning models locally and only share updates with Theta’s network (instead of raw data).

Use case: Wearable health devices track users’ vitals (heart rate, oxygen levels, etc.). Instead of uploading sensitive data, these devices train AI models locally on the Jetson and only share model updates with Theta’s network, ensuring privacy and efficiency.

6. Real-Time Video Analytics and Threat Detection

How it works: The Jetson analyzes live video feeds for movement, unusual behavior, or unauthorized entry, sending only relevant event clips to Theta.

Use case: Retail stores use surveillance cameras to track shopper behavior. If the Jetson detects shoplifting, it uploads a video snippet of the event to Theta, while ignoring regular customer movement, saving bandwidth.

7. Smart Content Caching and Delivery

How it works: The Jetson’s AI predicts which content will be most popular in a given area and preloads it to local devices, acting as a local content cache.

Use case: In schools with limited bandwidth, the Jetson preloads educational videos based on local demand. When students access these videos, they are served instantly from the local cache instead of streaming from Theta’s network.

 

The Role of Theta Network’s IoT Future

Theta Network’s mission is evolving from video streaming to powering decentralized edge intelligence. IoT devices will form the backbone of this shift. By processing data at the edge (like AI inference on the Jetson Orin Nano), Theta can reduce bandwidth usage, lower latency, and support privacy-first IoT networks. Here’s how Theta will evolve:

AI-Powered IoT Systems: Devices like the Jetson Orin Nano enable IoT devices to run AI models locally, reducing the need for cloud processing.

Content Delivery with Edge Intelligence: Smart content caching ensures that frequently accessed content is served locally, speeding up access times.

Privacy-Preserving Data Processing: With federated learning, only encrypted model updates are shared with Theta, not raw user data.

 

The NVIDIA Jetson Orin Nano may not fit the role of a traditional Theta Edge Node due to limited CPU power and memory. However, it’s a game-changer for IoT applications. From smart surveillance to federated learning, the Jetson can transform how Theta handles edge AI, predictive maintenance, and decentralized IoT systems. As Theta’s role expands into IoT, devices like the Jetson will be at the heart of its evolution, making edge computing smarter, faster, and more secure than ever before.

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The content of these articles is for general informational purposes only and should not be considered investment advice. The author is a nominal investor in Theta Network and Theta Token, and their views are largely optimistic, potentially reflecting personal investment interests. Readers should conduct their own research and consult with a professional before making investment decisions.
 
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Conclusion:

The NVIDIA Jetson Orin Nano exemplifies how cutting-edge hardware can redefine edge intelligence for the Theta Network, extending its capabilities beyond traditional video streaming and file relay. While its specifications fall short of the demands for a standard Theta Edge Node, its true strength lies in enabling AI-powered IoT applications, such as real-time video analytics, federated learning, and predictive maintenance. As Theta Network continues to evolve into a decentralized platform for edge intelligence, the Jetson Orin Nano’s role highlights the transformative potential of integrating advanced edge devices into IoT ecosystems. Together, Theta and the Jetson are set to push the boundaries of innovation, paving the way for smarter, more efficient, and privacy-preserving IoT solutions.

 

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👉 Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? 🔜

The future of Crypto x AI is about to go crazy.

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💠 'Based Agent' enables creation of custom AI agents
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👉 What this means for the future of Crypto:

1. Open Access: Democratized access to advanced trading
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  • Broker-Like Role: Functions exactly like a traditional securities broker-dealer, matching buyers and sellers while earning a spread or commission.

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📢 SpaceX plans to go public at $1.5 trillion valuation in 2026, the largest IPO in history, Bloomberg reports.

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In a recent tweet, Stellar Development Foundation (SDF) CEO and Executive Director Denelle Dixon defines what "real opportunity" is in blockchain as a new financial future beckons.

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XDC Network's acquisition of Contour Network

XDC Network's acquisition of Contour Network marks a silent shift to connect the digital trade infrastructure to real-time, tokenized settlement rails.

In a world where cross-border payments still take days and trap trillions in idle liquidity, integrating Contour’s trade workflows with XDC Network Blockchains' ISO 20022 financial messaging standard to bridge TradFi and Web3 in Trade Finance.

The Current State of Cross-Border Trade Settlements

Cross-border payments remain one of the most inefficient parts of global finance. For decades, companies have inter-dependency with banks and their correspondent banks across the world, forcing them to maintain trillions of dollars in pre-funded nostro and vostro balances — the capital that sits idle while transactions crawl across borders.

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Stablecoin Settlement revamping Trade and Tokenization

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Digital dollars like USDC make the process simple:

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The XDC + Contour Shift: A Silent Revolution

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Documentation → Validation → Settlement all under a single infrastructure.

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The Bottom Line

Payments alone won’t transform Global Trade Finance — Trade finance + Tokenized Settlement will.

This is the shift happening underway XDC Network's acquisition of Contour is the quiet catalyst.

Learn how trade finance is being revolutionised:

https://www.reuters.com/press-releases/xdc-ventures-acquires-contour-network-launches-stablecoin-lab-trade-finance-2025-10-22/

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Inside The Deal That Made Polymarket’s Founder One Of The Youngest Billionaires On Earth🌍

One year ago, the FBI raided Polymarket founder Shayne Coplan’s apartment. Now, the college dropout is a billionaire at age 27.

In July, Jeffrey Sprecher, the 70-year-old billionaire CEO of Intercontinental Exchange, the parent company of the New York Stock Exchange, sat at Manhatta, an upscale restaurant in the financial district overlooking the sprawling New York City skyline from the 60th floor. As a sommelier weaved through tables pouring wine, in walked Shayne Coplan—in a T-shirt and jeans, clutching a plastic water bottle and a paper bag with a bagel he’d picked up en route. Sprecher chuckles as he recalls his first impression of the boyish, eccentric entrepreneur: “An old bald guy that works at the New York Stock Exchange, where we require that you wear a suit and tie, next to a mop-headed guy in a T-shirt that's 27.” But Sprecher was fascinated by Polymarket, Coplan’s blockchain-based prediction market, and after dinner, he made his move: “I asked Shayne if he would consider selling us his company.”

Prediction markets like Polymarket let thousands of ordinary people bet on future events—the unemployment rate, say, or when BitCoin will hit an all-time high. In aggregate, prediction market bets have proven to be something of a crystal ball with the wisdom of the crowd often proving itself more prescient than expert opinion. For instance, Polymarket punters predicted that Trump would prevail in the 2024 presidential election, when many national pundits were sure that Kamala Harris would win.

Coplan initially turned down Sprecher’s buyout offer. But discussions led to negotiations and eventually a deal. In October, Intercontinental announced it had invested $2 billion for an up to 25% stake in the company, bringing the young solo founder the balance he was looking for. “We're consumer, we’re viral, we're culture. They’re finance, they’re headless and they’re infrastructure,” Coplan tells Forbes in a recent interview.

At the same time, Coplan announced investments from other billionaires including Figma’s Dylan Field, Zynga’s Mark Pincus, Uber’s Travis Kalanick and hedge fund manager Glenn Dubin. A longtime Red Hot Chili Peppers fan, Coplan even convinced lead singer Anthony Kiedis to invest after a mutual acquaintance brought the musician to Coplan’s apartment one day. “He's buzzing my door, and I’m like, ‘holy shit,'” Coplan recalls, his bright blue eyes widening. “I love their music. A lot of the inspiration [for my work] comes from the music that I listen to.”

Thanks to the deals, Polymarket’s valuation quickly shot to $9 billion, making the 2025 Under 30 alum the world’s youngest self-made billionaire, with an estimated 11% stake worth $1 billion. His reign was short: twenty days later, he was overtaken as the youngest by the three 22-year-old founders of AI startup Mercor.

Young entrepreneurs are minting ten-figure fortunes faster than ever. In addition to the Mercor trio and Coplan, 15 other Under 30 alumni—including ScaleAI cofounder Lucy Guo, Reddit’s Steve Huffman and Cursor’s cofounders—became billionaires this year, while Guo’s cofounder Alexandr Wang and Robinhood’s Vlad Tenev (both former Under 30 honorees) regained their billionaire status after having fallen out of the ranks.

The budding billionaire has long been fascinated by markets and tech. When he was just 14, Coplan emailed the regional Securities and Exchange Commission office to ask how to create new marketplaces. “I did not get a response, but it’s a really funny email,” he says, grinning playfully as he thinks of his younger self. “It just shows that this stuff takes over a decade of percolating in your mind.”

Two years later, Coplan showed up at the offices of internet startup Genius uninvited after multiple emails of his asking for an internship went ignored. At age 16—at least a decade younger than anyone in that office—he secured his first job after making a memorable impression with his “wild curls” and “encyclopedic knowledge of billionaire tech entrepreneurs.” “If he chooses to become a tech entrepreneur, which seems likely, I have no doubt that we’ll be seeing his name again in the press before long,” Chris Glazek, his manager at the time, wrote in Coplan’s college recommendation letter.

Coplan went on to study computer science at NYU, but dropped out in 2017 to work on various crypto projects that never took off. In 2020, he founded Polymarket to create a solution to the “rampant misinformation” he saw in the world: The company’s first market allowed users to bet on when New York City would reopen amid the pandemic. He soon expanded into elections and pop culture happenings, among other events.

But it didn’t take long for the company to butt heads with regulators. In January 2022, Polymarket paid a $1.4 million fine to the Commodity Futures Trading Commission for offering unregistered markets. It was also ordered to block all U.S. users, but activity on Polymarket skyrocketed particularly during the 2024 U.S. presidential election, with bets totaling $3.6 billion. A week after the election, the FBI raided Coplan's apartment and seized his devices as part of an investigation into a possible violation of this agreement. Shortly after, Coplan posted on his X account that he saw the raid as “a last-ditch effort” from the Biden administration “to go after companies they deem to be associated with political opponents.”

In July, the Department of Justice and CFTC dropped the investigations—after which Sprecher reached out to Coplan for dinner—and less than a week later, Polymarket announced it had acquired CFTC-licensed derivatives exchange QCX to prepare for a compliant U.S. launch. QCX applied to be a federally-registered exchange in 2022—an application that was left dormant for three years before receiving approval less than two weeks before the acquisition was announced. When asked about the timing of the deal, Coplan points to CFTC acting chairwoman Caroline Pham, who President Trump tapped to lead the agency in January. “Caroline deserves a lot of credit for getting every single license that had been paused for no reason approved, as acting chairwoman in less than a year,” he says. Coplan had realized an acquisition might be the only way for Polymarket to legally operate in the U.S. as early as 2021 due to the lengthy federal approval process, a source familiar with the deal told Forbes.

Just two months after the acquisition and days after Donald Trump Jr. joined Polymarket’s advisory board, the company received federal approval to launch in the U.S. (Trump Jr. has also served as a strategic advisor to Polymarket’s main competitor Kalshi since January.)

Polymarket’s rapid rise has drawn critics. Dennis Kelleher, co-founder and CEO of Washington-based financial advocacy group Better Markets, told Forbes in an email that the current administration’s deregulation around prediction markets has unlocked a regulatory “loophole” to enable “unregulated gambling” under the CFTC, “which has zero expertise, capacity or resources to regulate and police these markets.” Kelleher added that with backing from the Trump family “who are directly trying to profit on this new gambling den… the massive deregulation and crypto hysteria will almost certainly end badly for the American people.”

Investors and businesses are scrambling to seize the moment of deregulation. “We had opportunities to invest in events markets earlier, but there was a lot of risk,” Sprecher says, listing the regulatory changes in favor of crypto and prediction markets under the current administration. “This was the moment to invest if we wanted to still be early in the space.”

In the last few months, Trump’s Truth Social and sportsbook FanDuel, as well as cryptocurrency exchanges Crypto.com, Coinbase and Gemini all announced their own plans to offer prediction markets. Robinhood CEO Vlad Tenev said prediction markets, which were integrated into its platform in March, were helping drive record activity for the retail brokerage in its third quarter earnings call.

“People are starting to realize right now that the opportunities are endless,” says Dubin, the billionaire hedge fund veteran who invested in Polymarket earlier this year. He points to sports betting companies, which have been regulated by states as gambling activity and taxed accordingly. States like New York can tax up to 51% of sportsbooks’ revenue, but federally-regulated prediction markets can bypass state laws, avoiding taxes and operating in all 50 states. With the realization that prediction markets could upend the sports betting industry—which brought in $13.7 billion in revenue in 2024—businesses are quickly jumping on board despite pushback from state gambling regulators. In October, both Polymarket and Kalshi secured partnerships with sportsbook PrizePicks and the National Hockey League, and Polymarket announced exclusive partnerships with sportsbook DraftKings and the Ultimate Fighting Championship.

The disruption won’t be limited to sports betting. Alongside its investment, Intercontinental’s tens of thousands of institutional clients including large hedge funds and over 750 third-party providers of data will soon have access to Polymarket data, as it gets integrated into Intercontinental’s products such as indices to better inform investment decisions. It also hopes to work with Polymarket to work on initiatives around tokenization—or converting financial assets into digital tokens on blockchain technology—to allow traders on Intercontinental’s exchanges to trade more flexibly at all hours of the day, Sprecher says. What’s more, in November, Google Finance announced it would integrate Polymarket and Kalshi data into its search results, while Yahoo Finance also announced an exclusive partnership with Polymarket.

Despite flashy investors, partnerships and a record $2.4 billion of trading volume in November, Polymarket has yet to launch in the U.S. or turn a profit. Coplan and his investors have hinted at ways the company could make money one day—selling its data, charging fees to users, launching a cryptocurrency token (similar to Ethereum or Bitcoin)—but decline to confirm any specifics. For now, the only thing that’s certain is the bet Coplan is making on himself. “Going for it and having it not pan out is an infinitely better outcome than living your life as a what if,” he says.

Standing across from the New York Stock Exchange building, Coplan tilts his head up as he watches a massive banner with Polymarket’s logo get hoisted onto the exterior of the building. It’s been five years since founding. One year since the FBI raid. He’s taking it all in. “Against all odds,” the bright blue banner reads, rippling in the wind alongside three American flags protruding from the building.

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