Category: Data Science
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Building a 26TB High-Speed Data Workstation for Drone Surveillance
Requirements Our client (which cannot be revealed due to NDA purposes) builds defence systems for homeland security. And their analytics division needed a workstation capable of high-volume data processing. And they they approached us with a challenge: “We have a drone surveillance system that generates 1 Giga Byte of data per second in the form […]
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How AMD’s Radeon AI Pro 9700 Breaks the VRAM Bottleneck
Every new GPU generation arrives with the same promises of faster speeds, smarter AI, better performance. Yet creators still hit the same wall: memory. Not in compute power, not in raw speed, but in VRAM. For years, 16GB has quietly become the new ceiling. Try training models, upscaling video, or rendering detailed 3D scenes, and […]
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How we built a system for real-time AI Vehicle Automation
Autopilot in Indian traffic needs fast, local computation. Cloud adds latency and risk. Our friends at Swaayatt Robots wanted a zero lag, zero excuses, fully on board solution. About the client Swaayatt Robots is a vehicle automation company based in Bhopal. Their cars sense, decide, and drive on their own in dense Indian traffic without […]
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Nvidia Ampere vs Ada Lovelace Architecture Ft. RTX A6000 vs RTX 6000 Ada – Benchmarks | TheMVP
Did you know you can save 3 lakhs if you get an RTX A6000 instead of an RTX 6000 Ada? While most people assume that they are the same – there are still many things people overlook and today in this blog, we will speak facts with the help of benchmarks and answer the infamous […]
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How to build a Computer for Scientific Computing
Scientific Computing is a vast domain! There are thousands of “scientific” applications and it is often the case that what you are working with is based on your own code development efforts. Performance bottlenecks can arise from many types of hardware, software, and job-run characteristics. Recommendations on “system requirements” published by software vendors (or developers) […]
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How to Build a GPU Cluster Setup
Building a GPU cluster requires specific hardware to ensure efficient and reliable operations. To help you decide wisely, we’ve put together a list of recommended hardware configurations that will maximize the efficiency of your GPU cluster. Processor for GPU Cluster For your GPU cluster to operate and coordinate, a powerful CPU is also required. We […]
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Recommended Hardware for Machine Learning
To develop and train machine learning models, a powerful hardware setup is crucial to ensure fast & efficient training times. Check out our catalogue of optimised Machine Learning builds here. In this blog, we will discuss the recommended hardware requirements for machine learning, specifically focusing on the processor (CPU) and graphics card (GPU). Our recommendations […]
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Recommended Hardware for Data Science
Data science and data analysis are coupled with methods from machine learning, so there are some similarities here with our recommendations and AI. For ever and ever, data analysis, preparation, munging, cleaning, visualization, etc., present unique challenges for system configuration. Looking for a Data Science Workstation? Call on our Toll-Free (1800 309 2944) and get […]