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Jason Karlin

Industry veteran with over 10 years of experience architecting and managing GPU-powered cloud solutions.
Specializes in enabling scalable AI/ML and HPC workloads for enterprise and research applications.
Former lead solutions architect for top-tier cloud providers and startups in the AI infrastructure space.

Boost Your Big Data Processing With GPU Computing

Big Data, Data Analytics, Predictive Analytics, Data Mining and Fuzzy Logic – These are the buzzwords of the 21st-century! As the staggering amount of data being generated and collected increases exponentially, the business rationale for extracting market insights from all such data points is crystal clear. It has become critical for businesses’ survival to intelligently […]

How NVIDIA GPUs and RAPIDS Accelerate Data Science and Analytics

Modern analytics is a race between latency targets, throughput goals and budgets. GPU for Data Science is how teams keep pace without overspending. Users expect insights to feel instant, models to react to live context and platforms to scale without blowing up costs. NVIDIA GPUs shift this frontier by making columnar analytics, feature engineering, graph […]

Real-World Business Benefits of Cloud GPU

GPUs aren’t a side project anymore. The cloud GPU business benefits are real. After all, they run fraud detection, recommendations, video rendering and digital twin models. So, the real question isn’t “Do we need GPUs?” but “How do we pay for them without locking up cash or getting stuck with hardware we barely use?” Cloud […]

How is GPU Accelerated AI for Fraud Detection a Game Changer?

Fraud detection and prevention are critical for any business, especially in the financial services industry. A study estimates that fraud costs organizations $600 billion each year, which is why it’s more important than ever to have leaders like NVIDIA working on solutions from the technology side of things. As fraud becomes increasingly sophisticated and harder […]

What is TDP for CPUs and GPUs?

Ever wondered why your system heats up under pressure or why your GPU fans sound like a jet engine during a rendering task? The answer often lies in one key metric: Thermal Design Power or TDP. TDP plays a critical role in determining how efficiently your CPU or GPU performs under sustained workloads. Whether you’re […]

GNN and GPU Busy to Accelerate Deep Learning: The SALIENT Approach

In this article we are going to discuss how busy Graphic Processing Unit (GPU) and Graph Neural Network (GNN) helps in acceleration of Deep Learning and its SALIENT approach. Graphs exist everywhere. Be it financial transactions, social connections, academic performance, molecular interactions, or advertising marketing statistics – just about everything tangible can be expressed in […]

All You Need to Know About SIMD – And How GPUs Employ It

Visualize an army company marching toward a battlefield. At its head is a Major, attired in full military regalia, with outstanding service medals glinting dazzlingly on his/ her chest. Every soldier marched in lockstep, presenting arms when instructed, halting when instructed, turning when instructed and assuming battle positions when instructed by the Major. This tightly […]

What Are GPUs and How Can You Afford One?

Do you ever crave faster gaming or powerful AI processing without overspending? Affordable GPUs are one of the best solutions for those entering AI, gaming or data-intensive computing. GPUs or Graphics Processing Units accelerate complex calculations. Originally, they rendered stunning graphics for gaming. But today, their power extends far beyond. These days, GPUs drive artificial […]

GPU Computing in Financial Analytics- A Hit Or A Miss?

The technological advancements in graphics processing are opening doors of new horizons, especially regarding GPU computing in financial analytics. Although the concept of graphics cards in finance is a little too technical, there is an exciting story to embark on in the evolution of exchanging banking information. Have a read! In the initial 1800s reported, […]

How GPU Computing is Improving Financial Analytics?

With the rise in population and the number of products we are purchasing, the transactions per minute have also increased drastically. Companies store this data and its petabytes of structured and unstructured data (that banks and other financial companies can use) to forecast client behavior and develop strategies.