Growth
About to go nuclear ?Q3 record revenue of approximately $3.19 million while reducing the operating expenses by 38% year-over-year. Today announced the development of its proprietary carbon fiber designed custom cathodes in small modular reactors (SMRs) for a prominent NUCLEAR fusion company.
“KULR’s expertise in space-proven engineering uniquely positions us to support mission-critical energy solutions,” KULR CEO Michael Mo
Can we get another 40% leg up with $SHIB?Last hoorah SHIB had with a double bottom pattern resulted in a 40% increase in price over 24 hours. As you can see, SHIB has formed and completed another double bottom with upward momentum following. If ETH can act right I feel this leg up will be just a much as the last, maybe more.
Ripple can continue rising or ?...This place of price can be the Most risky spot for all people not Whales
This is for who trading rarely and watching the market as weeks and trading every 2weeks or checking the market every week .
As the picture we have 2 scenarios
I am bearish about xrp now and drawing the purple scenario for my myself!
A good handled and mathematics sell Position can be Good now
But the yello scenario can happen and after some ranges we can see the sharp Pump of xrp again!!
If the yellow one happen the potential of xrp will rise of 2.5$
Good luck
Ponke with a bit rush bonkerAlways Find a Gem to buy not just coins with high ranked
This Sh coin can absolutely Get 1 Dollar price
As you can see the chart the dynamic support hild the price again and the Ponke breaks the daily dynamic resistance on short frame
And now we can see the pullback on it!
Im bullish on it from now to price 2$
Good luck
Dogecoin Prepared to EngulfIts been down for a few days and has lost all momentum. I believe within the next two days we could see some enthusiasm for a rip upwards. Probably backfill the hole it has created and to attempt to gain as much ground after it rips off the lid. Today and tomorrow should be interesting for the doge. Now is a good time to buy if not already in.
ICP next ETH or SOL killer (300-500USD)There are several levels of resistance like 16, 21-23, 36, 50, 85, 260 and 500,
The tecnology it has worths more than solana or eth, it only takes matter of time of mass adoption and burocracy entering the ecosystem, definetly a x25-x50 coin on this bull run, easy, measurable and safe
$AKT Cup & HandleSince September 2021, we’ve been witnessing a massive Cup and Handle pattern taking shape, signaling potential bullish momentum ahead. With the Fed’s recent 50bps cut acting as a catalyst for risk-on assets, now is the time to pay attention!
As BTC dominance (BTC.D) shows signs of topping, select altcoins with genuine adoption and utility are poised for significant rallies, possibly reaching new all-time highs. Keep your eyes peeled on these emerging stars in the crypto space!
$BTBT could skyrocket as ETH prepares to pump!Why NASDAQ:BTBT Could Be a Sleeper Pick + How ETH is Poised for a Pump
If you’ve been following the markets, both traditional and crypto, you’ve probably noticed how volatile things have been lately. Bitcoin (BTC) has been slipping, but here’s why this could actually set up a golden opportunity for Ethereum (ETH) and why NASDAQ:BTBT stock might be the key to capturing the upside.
What is NASDAQ:BTBT ?
Bit Digital Inc. ( NASDAQ:BTBT ) is a cryptocurrency mining company with a focus on Bitcoin and Ethereum mining operations. While many crypto-related stocks move in sync with Bitcoin’s price, NASDAQ:BTBT has exposure to Ethereum as well, which makes it an intriguing play in this current market environment.
With BTC currently dumping, the spotlight could shift toward ETH, which has lagged behind Bitcoin’s recovery over the past few months. ETH still has massive potential for growth, especially as network upgrades and Layer 2 scaling solutions gain traction.
Why Ethereum is Primed for a Pump
While Bitcoin has been dominant, ETH is overdue for its moment to shine. Here’s why:
1. The Merge and Staking Yields: Ethereum’s shift to proof-of-stake (PoS) has solidified its position as the go-to network for decentralized finance (DeFi), NFTs, and other blockchain applications. As staking gains popularity, ETH supply is shrinking, creating upward price pressure.
2. BTC Dominance Dropping: Bitcoin’s dominance often cycles with periods of altcoin pumps. With BTC struggling, funds could flow into ETH, especially given its use cases.
3. Underperformance Relative to BTC: Historically, ETH tends to follow BTC pumps but lags slightly behind before making an outsized move. If BTC is correcting now, ETH might be next in line to shine.
How NASDAQ:BTBT Fits Into This Narrative
NASDAQ:BTBT isn’t just a Bitcoin miner; its Ethereum operations give it unique exposure to a potential ETH pump. As ETH’s price rises, the profitability of mining increases, which could significantly boost NASDAQ:BTBT ’s earnings.
Moreover, NASDAQ:BTBT has been investing in green mining solutions, which aligns with the growing push for environmentally-friendly blockchain operations—a key consideration for institutional investors.
With the current discount on NASDAQ:BTBT stock (trading well below its highs), it represents a speculative but asymmetric risk/reward opportunity for investors who believe in ETH’s potential rally.
Conclusion: ETH to Pump, NASDAQ:BTBT to Benefit
If you’re bullish on ETH and expect it to outperform in the coming weeks or months, NASDAQ:BTBT is a stock to watch. Its connection to both Bitcoin and Ethereum mining makes it a hedge against broader crypto volatility while positioning it to benefit from an ETH-driven rally.
As always, this is not financial advice. Do your research and only invest what you can afford to lose. But if ETH pumps like it’s poised to, NASDAQ:BTBT could be one of the biggest beneficiaries.
What do you think? Is ETH’s time finally here, and could NASDAQ:BTBT be the hidden gem to capitalize on it?
Arbitrum and Optimism are becoming very interesting.According to previous cycles, when Bitcoin dominance peaks, Ethereum rises. Arguably, we are there, or about to be, and that made me focus on its ecosystem.
Two of its most known layers 2 are Optimism and Arbitrum, and I want to bring to your attention their charts against BTC.
Optimism is breaking out of a descending wedge, and its target is about 5200 sats, which is in fact a previous support/resistance. Volume is confirming the breakout, and we got a narrative on ETH.
Arbitrum is also breaking out of the same figure, whose target is about 1200 sats. Volume is increasing lately as well.
I'm already posicioned, but in case there is a retracement I'd ancourage you to take a closer look to an entry.
Measurable Data (MDT)MDT is a decentralized data exchange economy built on the Ethereum Blockchain.
mdt token is a standard ERC 20 token and facilitates the economy of the MDT ecosystem, It denominates the value of big data and serves as mechanism for utility in the ecosystem.
recently Chain announced the acquisition of the MeasurableData platform in a deal worth over $100 million
in a month MDT price moved from 0.025 to 0.036 and today we had 80 million volume
short tg 0.039 , 0.043 , 0.051
MNMD 600% in 2025With Trump and RFK challenging the stronghold of big pharma, the suppression of psychedelic medicines may soon be over. Analysts have set a price target of $26. Market conditions and fresh speculative details render these companies highly volatile and speculative, as many are in trial phases and are losing money rather than profiting... for now.
Better alternative for Nvidia NASDAQ:AMD might be a better alternative to NASDAQ:NVDA right now. Here are a few reasons why:
1. AMD has recently demonstrated stronger data center growth compared to Nvidia.
2. Nvidia appears to have reached a peak, with its revenue growth unlikely to remain as significant as before.
3. Nvidia's growth margins are slowing and even showing slight declines.
4. Nvidia's high stock price lacks a clear outlook for substantial gains.
Considering these points, I believe AMD has the potential to outperform Nvidia in the coming months. However, AMD first needs to break out of its current downtrend. If that happens, I plan to reduce my Nvidia position and allocate it to AMD.
3 Stocks in ACCUMULATION Phase | STOCKS | BABA, HOOD, PYPLIf you have patience, stock trading can be very rewarding.
Something a little different today - SOCKS ! 🧦 These are my top 3 picks for stocks at the moments - for the sake of duration, we'll look at 3 per video.
What I look for in stocks, is longer term holds. Ideally they must be in accumulation phase, or have just broken out of my ideal buy zone.
_____________________
NYSE:BABA NASDAQ:HOOD NASDAQ:PYPL
Reschedule Marijuana joint motion filedVFF and Hemp for Victory joint file motion to disqualify DEA from oversight of proposed marijuana rescheduling process. Low cap interesting play here at support, could it go lower and reverse split yes that's a possibility but the company to my knowledge never has split and they've been around for some 37 years!
The Future of AI Operations: MLOps and NVIDIA's VisionMLOps: Transforming AI into Scalable Enterprise Solutions
In today’s fast-evolving technological landscape, MLOps (Machine Learning Operations) has emerged as a vital discipline for businesses striving to scale AI solutions effectively. This burgeoning field combines machine learning, DevOps, and data engineering to streamline the development, deployment, monitoring, and management of machine learning models in production.
While MLOps was initially shaped by generalized practices, industry leaders like NVIDIA have taken this framework to new heights, integrating it with cutting-edge hardware and software to drive enterprise AI innovation. Here's a comprehensive look at MLOps and how NVIDIA has helped businesses unlock the true potential of AI. As NVIDIA NASDAQ:NVDA prepares to release its third-quarter earnings, with estimates of $0.74 per share and $32.81 billion in revenue, its dominance in AI and MLOps underscores the strategic importance of these technologies in today’s digital economy.
What Is MLOps?
At its core, MLOps is a set of best practices, tools, and methodologies designed to operationalize machine learning models, ensuring they remain reliable, scalable, and effective in dynamic environments. It builds on the principles of DevOps, extending them to include data scientists and machine learning engineers, ensuring seamless collaboration across teams.
MLOps enables businesses to:
1. Automate repetitive processes such as model training, deployment, and monitoring.
2. Ensure reproducibility of experiments and results.
3. Scale AI solutions as businesses grow.
4. Continuously monitor and refine models to prevent performance degradation over time.
Core Components of MLOps
1. Data Pipeline Management:
- Automating data collection, cleaning, and preprocessing.
- Managing real-time data streams for dynamic model training.
2. Model Development and Experimentation:
- Providing tools for tracking experiments, version control, and reproducibility.
- Allowing iterative experimentation to optimize models for specific tasks.
3. Model Deployment:
- Deploying models into production environments using containers (e.g., Kubernetes, Docker).
- Supporting diverse deployment scenarios, including real-time inference and edge computing.
4. Monitoring and Maintenance:
- Continuously monitoring model performance for accuracy, latency, and resource efficiency.
- Automating retraining pipelines to adapt to changes in data or operational requirements.
5. Scalability and Governance:
- Enabling enterprises to scale AI solutions across large datasets and infrastructures.
- Ensuring compliance with industry standards and ethical AI guidelines.
Here's a practical pie chart showing the distribution of effort across key stages in the MLOps workflow: Data Collection, Model Training, Model Deployment, and Monitoring.
MLOps in Action: The NVIDIA Story
As one of the pioneers in AI and GPU-based computing, NVIDIA has played a transformative role in advancing MLOps, enabling businesses to scale and operationalize AI solutions with unprecedented efficiency. By providing a robust ecosystem of hardware, software, and services, NVIDIA has set a gold standard for MLOps in enterprise AI.
1. NVIDIA’s AI Infrastructure:
NVIDIA’s DGX Systems and DGX SuperPODs deliver the computational power needed to train and deploy complex AI models. These GPU clusters provide unmatched scalability, making them ideal for handling large datasets and real-time AI workloads.
Example: The DGX BasePOD architecture allows organizations to create powerful GPU clusters optimized for AI development and deployment.
2. NVIDIA AI Enterprise Suite:
The NVIDIA AI Enterprise platform includes tools like:
- Triton Inference Server for efficient model deployment.
- TAO Toolkit for fine-tuning pre-trained models with minimal coding.
- RAPIDS for accelerating data science workflows.
These tools simplify the end-to-end AI lifecycle, ensuring businesses can deploy and manage AI models with ease.
3. Real-World Use Cases:
- Retail Optimization: A major retailer used MLOps capabilities in a public cloud powered by NVIDIA GPUs to create an AI service that reduced food waste by 8-9%. By forecasting when to restock shelves, the retailer optimized inventory management and minimized spoilage.
- Predictive Maintenance: A PC manufacturer utilized NVIDIA’s AI infrastructure to predict laptop maintenance needs, enabling proactive updates and reducing downtime for customers.
Scaling MLOps with NVIDIA and Cloud Providers
NVIDIA has partnered with major cloud providers to integrate MLOps capabilities into their platforms:
- AWS SageMaker: Accelerates machine learning workflows with NVIDIA GPUs, enabling automated model training and deployment.
- Google NASDAQ:GOOGL Vertex AI: Leverages NVIDIA GPUs for seamless scaling and orchestration of AI models.
- Azure Machine Learning: Offers NVIDIA-optimized infrastructure for developing responsible AI solutions.
- Alibaba NYSE:BABA Cloud and Oracle Cloud: Provide NVIDIA-powered platforms for quick experimentation and deployment of machine learning projects.
These integrations allow businesses to choose flexible, cloud-based solutions for their AI needs, reducing operational overhead while ensuring performance and scalability.
Here's a bar chart illustrating the resource allocation in AI infrastructure across Compute Resources, Storage, Networking, and Software Tools.
Why NVIDIA Excels in MLOps
1. Industry-Leading Hardware: NVIDIA’s GPUs are designed for high-performance AI workloads, enabling rapid training and inference.
2. End-to-End Solutions: From infrastructure to software tools, NVIDIA offers a comprehensive ecosystem for MLOps.
3. Focus on Standards: NVIDIA’s collaboration with the AI Infrastructure Alliance (AIIA) helps set industry standards and best practices for MLOps.
4. Support for Open-Source Tools: NVIDIA works with open-source platforms like Kubeflow and ClearML, ensuring flexibility for developers and engineers.
With a revenue estimate of $32.81 billion for Q3, NVIDIA’s financial success reflects its role in pioneering AI infrastructure and MLOps solutions. Its offerings, like DGX systems and AI Enterprise, continue to dominate the enterprise AI landscape
MLOps: The Future of AI in Business
The rapid adoption of AI across industries underscores the importance of robust MLOps frameworks. With NVIDIA’s contributions, enterprises can now manage the full lifecycle of AI development, from data collection to model deployment, with confidence and efficiency.
Whether it’s optimizing retail operations, predicting maintenance, or developing cutting-edge applications, MLOps ensures that AI becomes a seamless part of an organization’s digital ecosystem. Thanks to pioneers like NVIDIA, the vision of scalable, reliable, and impactful AI is now a reality.
Final Thoughts
MLOps is more than just a framework—it’s a paradigm shift in how businesses approach AI. By leveraging NVIDIA’s advanced tools, infrastructure, and partnerships, organizations can achieve unparalleled efficiency, scalability, and innovation in their AI endeavors. The journey from experimentation to enterprise-ready AI has never been more accessible or powerful.
As NVIDIA announces its Q3 results, the company’s vision for the future of AI operations becomes even more critical. The expected revenue of $32.81 billion underscores how integral MLOps and AI are to the company's continued growth and innovation.
The chart visualizations in this article were created using the TradingView platform, a leading solution for market analysis and charting. Special thanks to TradingView for providing an exceptional platform that supports traders and analysts worldwide.