D-2 - Inside Your Computer

Hosted by Richard Simmons, this podcast delivers in-depth reports on emerging cyber threats, major security breaches, and critical vulnerabilities affecting healthcare, finance, and global infrastructure.

Today, we cover a severe Firefox flaw reminiscent of a recent Chrome zero-day, a phishing-as-a-service operation using DNS-over-HTTPS for stealth, and a Next.js vulnerability demanding urgent action from developers. We also examine a disturbing rise in GPU-based malware, Oracle Health’s latest data breach, and escalating ransomware threats to critical sectors.

From hospital breaches to cybersecurity regulations shaping digital health, HEAL Security Dispatch keeps you informed and prepared in a rapidly evolving cyber landscape.

For expert insights and the latest in cybersecurity, tune in daily to HEAL Security Dispatch.
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Deep Dive: Firefox Flaw, Phishing-as-a-Service, Oracle Health Breach & More

Welcome to "AI with Shaily," hosted by Shailendra Kumar, your guide through the fascinating world of artificial intelligence! 🎙️✨ Today, Shaily is diving deep into the latest innovations brought to us by Nvidia, specifically their groundbreaking Blackwell Ultra GPU Architecture. 

So, what makes Blackwell Ultra such a hot topic? Imagine a high-performance sports car designed not just for speed but also for everyday use. 🚗💨 That's exactly what this GPU architecture represents. With a staggering memory expansion of up to 288 GB HBM3e and a remarkable 50% enhancement in 4-bit floating-point inference, it’s like giving a turbo boost to your AI applications! Think of it as giving your AI projects a can of Red Bull – they’ll be soaring to new heights! 🥤🚀

But Nvidia isn't stopping there. They're bringing the future closer to us with their DGX Systems, including personal AI supercomputers like the DGX Spark and DGX Station, all powered by Blackwell technology. It’s as if an entire data center has been miniaturized and placed right on your desk, making high-end AI processing more accessible and personal than ever before. 🖥️💼

The impact of Blackwell Ultra is being felt across the tech landscape, from small startups to large corporations, all eager to weave this technology into their AI strategies. This shift is reminiscent of replacing traditional assembly lines with sleek robots – the efficiency gains are undeniable, and the future is looking robustly engineered. 🔧⚙️

Shaily also shares a valuable tip for those involved in AI projects: keep an eye on how integrating Blackwell Ultra can enhance your models, particularly if you're working with large language models. This isn’t just an upgrade; it could be the secret weapon in your AI arsenal! 🏆🤖

As we conclude today's episode, Shaily encourages listeners to reflect on how they envision incorporating these advanced tools into their daily lives. He leaves us with a thought-provoking quote from Einstein: "The measure of intelligence is the ability to change," highlighting the transformative potential of Nvidia's innovations. 🌍💡

Don't forget, you can follow Shailendra Kumar for more AI insights on platforms like YouTube, Twitter, LinkedIn, and Medium. If you're excited about the future of AI, make sure to subscribe, share your thoughts in the comments, and keep the conversation going! Until next time, keep that curiosity alive and continue learning! 🔍📚

AI Revolution: Unleashing the Power of Nvidia's Blackwell Ultra GPU

Sampled and remixed sounds from GPU's AI data center

GPU Train

The "evolution and applications of rendering technology", highlighting its progression from early foundational systems to the present.  They emphasize rendering's critical role in various fields, including "entertainment, scientific visualization, advertising, education, and immersive technologies like VR/AR".  A key focus is the "comparison between traditional rendering methods and the transformative impact of generative AI", noting how AI significantly "reduces production times and costs", thereby expanding accessibility and creating a "convergence of techniques" in modern computer graphics.


Digital Rendering Evolution

Discover the capabilities of GPU Haven's entire suite of cloud computing services, which are perfect for scientific computing, AI development, and 3D rendering with immediate scaling and support.

https://gpuhaven.cloud/services

Full Range of Cloud Compute Services

Welcome back to "AI with Shaily," your ultimate source for the latest and most exciting updates in artificial intelligence! 🎙️ I’m Shailendra Kumar, here to take you on a journey through the incredible advancements shaping the AI landscape today.

Picture this: organizing a colossal music festival 🎵🎤 — but instead of stages and crowds, you’re assembling mountains of GPUs, and instead of fans, you have AI models hungry for massive memory and ultra-fast processing power. This is the reality unfolding in 2025, as tech giants like Microsoft and Google are investing heavily in GPUs to fuel the next wave of generative AI.

Microsoft has made a staggering purchase of nearly 485,000 NVIDIA Hopper GPUs this year alone, investing a jaw-dropping $30 billion in servers to power advanced generative AI models like ChatGPT-4. That’s almost half a million GPUs! Meanwhile, Google isn’t far behind, deploying about 169,000 GPUs to drive their ambitious Gemini 2.5 model.

What’s behind this GPU frenzy? Next-generation generative AI models require immense memory bandwidth and huge memory capacity — these data-hungry systems can’t run efficiently on ordinary chips. Enter NVIDIA’s latest technological marvels: the Blackwell Ultra GPUs and the RTX PRO 6000 Blackwell Server Edition. These cutting-edge GPUs, soon to be available on Microsoft Azure and Google Cloud, are not just faster but smarter, enabling AI to plan, reason, and adapt in real-time with remarkable precision and finesse. ⚡🤖

Interestingly, even as the new Blackwell GPUs prepare to take center stage, demand for the current Hopper GPUs remains strong, much like how classic rock maintains its charm alongside new pop hits. Beyond Microsoft and Google, other tech leaders such as Amazon, Meta, Tesla’s xAI, and Apple are also developing custom AI chips to optimize performance and reduce reliance on NVIDIA’s hardware. This diversification highlights the competitive and innovative spirit driving the AI hardware space. 💻🚀

Here’s a personal reflection: this GPU arms race is a vivid reminder that AI progress isn’t just about smarter algorithms — it’s equally about the massive infrastructure that supports them. I remember when I first trained AI models in a modest lab setup, dreaming of scaling up. Today, we’re witnessing multi-billion dollar investments and half a million GPUs powering AI breakthroughs. It’s both humbling and exhilarating to witness this evolution. 🙌✨

A bonus tip for all AI enthusiasts concerned about energy consumption: keep an eye on AI chip specialization. Custom chips designed specifically for AI workloads could be the eco-friendly solution to the high energy demands of these vast GPU farms. True intelligence in AI means not only clever software but also smarter, more efficient hardware. 🌱🔋

Here’s a thought to ponder: as AI models become more powerful and resource-intensive, how can we strike a balance between relentless innovation and sustainability? I’d love to hear your opinions on this important question.

To quote AI pioneer Andrew Ng, “AI is the new electricity.” Just like electricity revolutionized the world, how we generate and manage AI’s power will shape our future. ⚡🌍

Don’t forget to follow me on YouTube, Twitter, LinkedIn, and Medium for more crisp, reliable AI news and insights. Subscribe and share your thoughts in the comments — what’s your take on this GPU gold rush? Are we on the path to a smarter, brighter AI future, or should we pause and rethink our approach?

Until next time, keep your curiosity charged and your questions flowing — this is Shailendra Kumar signing off from AI with Shaily. 🔥🤖✨

GPU Gold Rush 2025: Inside the Billion-Dollar AI Hardware Arms Race

we are vulnerable
find a weakness and exploit it

you already know
squad up in the bootloader bitch keep score
look around the repo
see what we gon find in the code
you can watch us grind while we dine on our foes (foes)
finding all these holes in the fabric
not enough moth balls plugging up the rop calls
holler at the homies if the box stalls
process jockey playing nice if the top falls

can you fuck with us?
can you deploy toys rubber duck with us?
can you destroy noise on a NUC with us?
more importantly can you make a buck with us? (hmm)
i look into the tea leaves reading
see a bunch of CEOs with their company believing
they ain't needing any coders on staff did the math
so i hack all that vibe coded crap and i laugh they saying

you already seen
me bubble up the deep web underworld and then escape clean
fuck you mean i got haters every corner of the cube
i been swimming through the doo doo ever since i was a noob
with the formula gnu and improved
future generations study how a warrior move
which tools does a warrior use well let's see
backpack full of goodies black hoodies and jeans (hmm)

precursor in the pocket (pocket)
field programmable gate array ain't no way you can stop it
everything that i early adopted 
it take off just like a rocket so you better go cop it
vape clouds cover up the screen
see the green text bleed through you be seeing how we do
dashboard showing crash lore on the fuzzing
what you know about that F5, cousin (cousin)

ytcracker - we are vulnerable

Welcome back to *AI with Shaily*! 🎙️ I’m Shailendra Kumar, your host and AI enthusiast, here to bring you the freshest updates and insights from the world of artificial intelligence. Today’s episode dives into a groundbreaking discovery that’s sending ripples through the AI and cybersecurity communities — a hardware vulnerability named **GPUHammer** 🛠️💥.

This isn’t just another software bug or neural network tweak. Researchers at the University of Toronto have revealed that GPUs, especially powerful models like Nvidia’s RTX A6000 🎮⚡, are susceptible to a sneaky attack inspired by the classic Rowhammer technique. Traditionally, Rowhammer targeted CPU memory by rapidly flipping bits in adjacent rows of DRAM, causing data corruption. But GPUHammer takes this concept further by showing that GPU memory (GDDR) isn’t immune either. This is huge because GPUs are the engines driving AI workloads across industries — from medical imaging 🏥🧠 to fraud detection 💳🔍.

Why should you care? Imagine your AI model’s accuracy plummeting from a solid 80% to a catastrophic 0.1% due to subtle memory bit flips. That’s like asking a doctor with perfect credentials to diagnose you while blindfolded — a scary thought! 😱 GPUHammer works by electrically “hammering” adjacent memory rows to induce bit flips without altering the data or code directly, making the attack stealthy and hard to detect. The University of Toronto team demonstrated this attack live on an Nvidia RTX A6000, proving it’s not just theoretical but a real-world threat. Nvidia is aware and actively working on protective measures 🛡️.

As someone deeply involved in AI development, this revelation hits home. It’s a stark reminder that vulnerabilities don’t just hide in algorithms or datasets — the very hardware we trust to run AI can betray us. This calls for a holistic approach to AI security, one that includes hardware-level safeguards and rigorous fault injection testing 🔍🛠️. For AI practitioners, integrating hardware fault testing into your validation pipeline is a must to catch these subtle glitches before they wreak havoc.

Before we close, here’s a question to mull over: if AI outputs can be silently corrupted at the hardware level, how do we maintain trust and ensure reliability in critical applications like healthcare or finance? 🤔

I’ll leave you with a timeless quote from Alan Turing: “Machines take me by surprise with great frequency.” Today, the surprise lies not just in AI’s capabilities but in the fragility of its foundations.

Don’t forget to follow me, Shailendra Kumar, on YouTube, Twitter, LinkedIn, and Medium for more AI news and engaging discussions. Subscribe to *AI with Shaily* for your weekly AI fix, and share your thoughts in the comments — I’m eager to hear your perspective! Until next time, keep your AI models sharp and your hardware secure. Stay curious, stay safe! 🔐🤖✨

GPUHammer Exposed: The Hidden GPU Vulnerability Threatening AI Accuracy

FUNK DO FÚRIA NA ESTRADA DA MÃE POLONESA

The Daily HEAL Security Dispatch Podcast is a leading source for up-to-the-minute news and deep insights in the realm of healthcare cybersecurity and threat intelligence. 

At the heart of HEAL Security's vision is the commitment to equipping organizations and individuals with rapid, contextually rich cybersecurity updates, establishing itself as a pivotal force in unifying practice and data against the ingenious tactics of criminal and malicious entities. HEAL Security is fervently devoted to constructing a robust resource and community that champions the defense of the healthcare sector against the growing cyber threats from organized crime groups and antagonistic nation-states. Our core focus encompasses the protection of vital IT infrastructures, the security of sensitive patient and clinical information, the safeguarding of critical healthcare systems, and the assurance of continuous, undisturbed patient care services.

Unlock the secrets of data mastery with Shailendra, a 27-year veteran in AI, ML, and Data Science, driving AU$ 6 Billion in transformative value. As the author of 'Making Money out of Data,' their strategies redefine digital success. With expertise honed at IBM and Accenture, they drive innovation and data monetization. Explore how loyalty programs like Flybuys and Everyday Rewards revolutionize business—connect with Shaily today.

i want to be a robot when i grow up.

booking/press/proposals/hate mail:
rapper@gmail.com

New tracks tagged #gpu