Author: Yeek.io

The global adtech market is exploding, scaling from $828.6 billion in 2024 to a projected $1.86 trillion by 2031, with real-time bidding alone expected to balloon from $18.8 billion to $92.6 billion by 2033. But as the industry processes billions of daily bid requests, audience segments, and campaign optimizations, adtech companies are facing a silent profit killer: data egress fees. What began as manageable transfer costs has quietly evolved into one of the largest, most overlooked expense categories in adtech operations, often rivaling or exceeding actual compute spending. The problem? Public cloud providers have engineered their pricing models to make…

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial. There is a common misconception in the current narrative on web3 scaling that mass adoption requires faster, bigger, and more powerful blockchains. Every cycle, a new generation of chains emerges, promising millions of transactions per second and near-zero fees.  Summary Chasing massive TPS mirrors the failed 1980s single-core “faster clock” mindset; blockchains were built for final settlement, not high-frequency clearing, making monolithic L1/L2 designs fundamentally misaligned with real-world usage. Gas fees create psychological and economic friction; liquidity…

Every millisecond matters. When a user loads a webpage, advertisers enter a silent auction that completes in under 100 milliseconds. The platform that responds faster wins the impression. The one that’s late loses revenue and trust. This is real-time bidding (RTB), and it’s unforgiving. For AdTech platforms handling 100 billion auction requests daily, the infrastructure choice between bare metal and public cloud isn’t academic; it directly impacts win rates, revenue, and competitiveness. As latency-sensitive workloads increasingly demand AI-powered inference and real-time model training, the case for dedicated, optimized infrastructure has become impossible to ignore.​ The RTB Gauntlet: Racing Against the…

PENGU price action remained weak for months, but sellers began losing control. The Solana-based memecoin traded inside a broad flag structure since July, and bearish momentum finally showed signs of exhaustion. On the 1-day chart, PENGU rebounded from the flag support near $0.009732 and gained fresh traction as momentum improved. At press time, PENGU had already posted an 8% daily gain to $0.01138. That rebound hinted at a sentiment shift that could revive short-term activity. Source: TradingView Partnership announcement fuels market excitement The Pudgy Penguins [PENGU] team announced a collaboration with Care Bears. The release of a special edition physical…

Bonk saw a 5.55% rally in the past 24 hours, but CoinMarketCap data showed that its daily trading volume has fallen by nearly 10% at the time of writing. These gains could be driven partly due to the Solana [SOL] launchpad Bonk.fun news that 51% of the fees would be used to buy back BONK, up from the existing 10%. BONK sinks below long-term support Source: BONK/USDT on TradingView Bonk’s [BONK] weekly chart showed a strong downtrend in progress. The $0.0000096 support, which stretched back to early 2024, was being retested as resistance. Two weeks ago, a weekly trading session…

The world is racing to deploy AI at scale. National cloud champions matter, but so do specialized GPU platforms that give you fast access to the best hardware, transparent pricing, and predictable performance. Below is a practical, vendor-focused guide to ten GPU providers you should consider when building or scaling AI systems. Spheron AI aggregates bare-metal GPU capacity from multiple providers and exposes it through a single console. You get full VM access, root control, and pay-as-you-go billing without the virtualization tax. That makes it easy to run training and inference with high throughput and lower cost per hour than…

Access to high-performance GPUs separates rapid AI innovation from stagnation. On-demand GPUs deliver that power without capital expense, maintenance overhead, or lengthy procurement cycles. For researchers, developers, and teams of every size, renting GPU time on demand offers a practical, scalable path to train models, experiment with architectures, and ship products faster. This guide explains why on-demand GPUs matter, how to choose between deployment options, and what practical steps to take to squeeze maximum value from every hour of GPU time. Modern on-demand providers make cutting-edge hardware and global availability routine for teams who need them. Why On-Demand GPUs Are…

Moodeng pumped to $0.253 on Binance Futures on Saturday, the 6th of December. At the time of writing, the Funding Rate, paid every 4 hours, was at 0.61%. A death hoax spurred a nearly 250% price bounce within an hour. This shows how low liquidity, especially during weekends, can lead to extreme volatility in price action. But will this pump be sustained? Moodeng: Profit-taking is important Source: MOODENG/USD on TradingView On the 1-day chart, the daily bearish structure flipped bullishly on Saturday. This happened when the previous lower high at $0.0958 was breached in this timeframe. At the time of…

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial. There’s a certain confidence with which Big Tech moves today — a confidence that doesn’t belong to private companies but to sovereign powers. Google decides what the world knows. Meta decides how the world communicates. Amazon decides what the world buys. These are not platforms anymore; they are empires. And like every empire before them, they extract. Summary Big Tech has created “Feudalism 2.0,” where global platforms extract user data like feudal lords, operate above nation-states, and…

Japan has always treated technology as a craft. We refine, test, polish, and then refine again. The same mindset now shapes the way Japanese companies approach Artificial Intelligence. From robotics labs in Tsukuba to enterprise teams in Osaka and creative studios in Shibuya, the race to build world-class AI systems has become a national priority. But great AI does not start with algorithms. It starts with infrastructure. Choosing the right GPU cloud is no longer a simple procurement decision. It is a strategic move that shapes performance, cost, and long-term innovation. Many Japanese companies want hardware that is fast, reliable,…