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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.

Best Deep Learning Frameworks: TensorFlow, PyTorch, JAX & More

Best Deep Learning Frameworks: TensorFlow, PyTorch, JAX & More

Deep learning frameworks are the building blocks for designing, training and validating deep neural networks through a high-level programming interface. Most popular DL frameworks are PyTorch, JAX, TensorFlow, PyTorch Geometric, DGL and others, relying on GPU-accelerated libraries, such as cuDNN, NCCL and DALI to deliver high-performance, multi-GPU-accelerated training. According to PR Newswire survey, 94% of organizations depend […]

November 24, 2025
Kimi 2 Thinking vs GPT-5.1: A Comprehensive Technical Comparison

Kimi 2 Thinking vs GPT-5.1: A Comprehensive Technical Comparison

After over 15 years of working with AI systems and training language models, I’ve learned that model selection decisions require rigorous analysis beyond marketing claims.  With OpenAI’s recent release of GPT-5.1 on November 13, 2025, and Moonshot AI’s Kimi K2 Thinking achieving unprecedented open-source performance, organizations face a critical decision point. This analysis synthesizes verified […]

November 19, 2025
What Is Edge AI? How It Works, Applications, Challenges

What Is Edge AI? How It Works, Applications, Challenges

Edge AI refers to running the model near the data. Recently, the efficiency of Artificial Intelligence, the adoption of IoT devices and the power of edge computing have come together to unlock the power of edge AI. Edge AI is a combination of AI with edge computing. Thus, it enables data processing and decision-making to […]

November 17, 2025
Hugging Face Kolors Virtual Try On: Try Clothes Virtually with AI

Hugging Face Kolors Virtual Try On: Try Clothes Virtually with AI

Shopping for clothes online still feels like guessing. You scroll through static photos, zoom in on fabric, check the size chart, then cross your fingers and hit buy. Half the time the fit, vibe, or color is off, and the return label comes out again. Kolors virtual try on sits right in the middle of […]

November 16, 2025
AI/ML Workload Statistics & Infrastructure Trends for 2026

AI/ML Workload Statistics & Infrastructure Trends for 2026

AI is no longer experimental. It is becoming industrialized. This brief is for infra, data center, and AI platform teams who have to justify 2026 spend. As you’re planning for 2026, the shift from hype to operational scale is accelerating. In 2026, three signals will set the context: We track compute demand, inference latency, training […]

November 10, 2025
A Practical Guide to Deploying Machine Learning Models

A Practical Guide to Deploying Machine Learning Models

When you turn AI experiments into real products, you need a simple way to take a trained model and run it in production so it’s dependable, easy to monitor, and cost-efficient. ML model deployment readiness is now the bottleneck for many teams because usage has gone mainstream. In fact, 78% of organizations report using AI in at […]

November 10, 2025
PyTorch vs TensorFlow: Which Deep Learning Framework Is Better?

PyTorch vs TensorFlow: Which Deep Learning Framework Is Better? 

When discussing PyTorch vs TensorFlow, your decision will depend on factors like the speed of experimentation and the ruggedness of enterprise-ready scalability. While PyTorch is king in the research lab and built for flexible prototyping with a Python-first feel, TensorFlow is the heavyweight champion for large-scale, production-grade deployments. As of 2025, TensorFlow still leads in overall adoption, commanding […]

November 8, 2025
NVIDIA B200 vs H200, H100 & A100: Complete GPU Comparison

NVIDIA B200 vs H200, H100 & A100: Complete GPU Comparison

Quick Answer The NVIDIA A100 80GB is an older Ampere-generation GPU that still suits budget batch inference. The H100 (80GB HBM3, 3.35 TB/s) is the best cost-per-token GPU for models that fit in 80GB. The H200 has 141GB HBM3e and 4.8TB/s bandwidth, giving nearly double H100 memory and 1.4x memory bandwidth. It can make 70B-class […]

November 7, 2025
How HBM3e Memory in NVIDIA H200 Transforms AI Training and Inference

How HBM3e Memory in NVIDIA H200 Transforms AI Training and Inference

AI and ML teams like you need to design AI infrastructure around memory capacity and bandwidth-related limits. While doing the same, you will get the biggest gains by keeping parameters, activations and KV cache on the device. As a result, you reduce traffic over NVLink or PCIe and often raise sustained tokens per second when […]

November 6, 2025