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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.

GPU vs. CPU: Which One Is Best for High-Performance Computing (HPC)?

GPU vs. CPU: Which One Is Best for High-Performance Computing (HPC)?

High-performance computing GPUs meet the exact requirements businesses demand today. Speed and efficiency are non-negotiable in this data-driven world. Businesses want computational power that delivers fast, whether they are running AI algorithms, rendering complex 3D models, or processing scientific simulations. Managing these enormous amounts often determines the success or failure of modern enterprises. That’s where […]

September 17, 2024
How Cloud Computing is Transforming the Media and Entertainment Industry

How Cloud Computing is Transforming the Media and Entertainment Industry

With the rise of the cloud, innovations in the entertainment industry have come to the fore. The high scalability and flexibility that cloud solutions bring continue to replace traditional ways of creation and distribution need to cater to their desire. In addition, cloud computing in the media allows new ways of creating, managing, and broadcasting media content […]

September 11, 2024
Why GPU Memory Matters More Than You Think?

Why GPU Memory Matters More Than You Think?

Quick Answer GPU memory directly affects whether a workload fits, how efficiently data reaches processing cores, and how consistently applications perform at scale. Capacity determines how much model data, KV cache, and runtime state the GPU can hold, while bandwidth determines how fast that data moves. For AI workloads, the right balance improves utilization, reduces […]

September 2, 2024
TensorFlow GPU – Basic Operations and Multi-GPU Setup

TensorFlow GPU – Basic Operations and Multi-GPU Setup

If you are an ML practitioner looking to use TensorFlow for NVIDIA GPU, this guide walks you through a clean install and a reliable verification. Together, we will install TensorFlow the recommended way, confirm the runtime sees your GPU and prove real GPU execution before scaling training across multiple GPUs. NOTE: If you do not want […]

August 23, 2024
GPU vs CPU for Data Analytics: A Guide to Choosing the Right Hardware

GPU vs CPU for Data Analytics: A Guide to Choosing the Right Hardware

Introduction When it comes to data analytics, selecting the proper hardware is crucial for achieving optimal performance and efficiency. GPUs and CPUs are the two primary computing devices used for data analytics tasks, each with their own strengths and weaknesses. CPUs have traditionally been preferred due to their versatility and multi-tasking abilities. However, with the […]

August 14, 2024
Harnessing GPU-as-a-Service: Key Benefits and Future Trends

Harnessing GPU-as-a-Service: Key Benefits and Future Trends 

Across industries, the appetite for raw computational power has grown faster than any single organization could satisfy through traditional hardware procurement. AI model training, real-time inferencing, scientific simulation, and immersive cloud gaming all demand the kind of parallel processing that only graphics processing units can reliably deliver. Yet owning that hardware outright has proven impractical, […]

July 29, 2024
How to utilize GPU hardware for Compute Intensive Workloads?

How to utilize GPU hardware for Compute Intensive Workloads?

The world changed decades ago when researchers discovered how to translate the matrix processing capabilities of Graphics Processing Units (GPUs) to workloads other than gaming graphics rendering.  The unparalleled growth in Artificial Intelligence/ Machine Learning/ Deep Learning (AI/ ML/ DL), Big Data analytics, real-time inference operations and Internet of Things applications (IoT) since then would […]

June 22, 2024
The Automation Acceleration: How GPUs Are Fueling the Future of Work?

The Automation Acceleration: How GPUs Are Fueling the Future of Work?

Artificial intelligence, machine learning/ deep learning, computer vision, artificial neural networks, and augmented reality/ virtual reality have revolutionized industries. These exceedingly disruptive technologies, in conjunction with real-time data analytics and process automation, have culminated in a momentous shift in man-machine interaction and precipitated “Industry 4.0” aka the Fourth Industrial Revolution.  And in this transformation to […]

June 21, 2024
How GPU-accelerated AI boosts Digital Marketing?

How GPU-accelerated AI boosts Digital Marketing?

Enterprises are investing heavily in diverse digital marketing methodologies. Television and radio advertisements are old news, so are advertisements interspersing YouTube videos and Spotify playlists. SMS and flash message/ call-based ads are automatically relegated to spam folder. Blog posts, guest posts, keywords, Search Engine Optimization (SEO), pay-per-click campaigns (PPC), social media marketing campaigns and Conversion […]

June 17, 2024
GPU vs CPU Rendering: Which is the Best for Your Animation Studio?

GPU vs CPU Rendering: Which is the Best for Your Animation Studio?

What is Graphics Rendering? Graphics rendering refers to the process of creating a photorealistic or non-photorealistic 2D/ 3D image by a computer program using the information contained in a source file. This information describes the scene lightning, shading, textures, viewpoint, 2D/ 3D geometry, etc. Highly realistic rendering even considers the interplay of light and shadows […]

June 13, 2024