Deep learning
May 12, 2025
What is the cost of training large language models?
Read our breakdown of the costs of training large language models on Cloud GPUs, highlighting key budgetary considerations and cost-efficiency tips.
Emmanuel Ohiri & Richard Poole
Jan 24, 2025
What are explainable AIs (XAIs), and why do we need more of them?
AI is everywhere, but how does it make decisions? Explainable AI (XAI) sheds light on the black box of AI. Explore XAI techniques and build trustworth...
Lars Nyman
Jan 15, 2025
What is ensemble learning?
Ensemble learning combines the strengths of different algorithms to achieve greater accuracy and solve complex problems.
Emmanuel Ohiri
Jan 7, 2025
Overfitting and underfitting in machine learning: Causes, indicators, and how to fix them
It is important to strike the perfect balance between too much and insufficient learning in your machine-learning models. We explore overfitting and u...
Emmanuel Ohiri
Dec 9, 2024
The beginner's guide to predictive analytics
Predictive analytics uses historical data to forecast future outcomes. Discover how it helps organizations anticipate trends, mitigate risks, and opti...
Emmanuel Ohiri
Dec 3, 2024
Machine learning technique: Introduction to reinforcement learning
Reinforcement learning is a machine learning technique where agents learn through trial and error, maximizing rewards in a given environment. This art...
Emmanuel Ohiri
Nov 22, 2024
What is semi-supervised learning? A comprehensive guide
Semi-supervised learning (SSL) combines supervised and unsupervised learning, using labeled and unlabeled data to train accurate models with reduced l...
Emmanuel Ohiri
Nov 20, 2024
Orchestrating containers on CUDO Compute with dstack
As the need for AI infrastructure soars, access to accessible and high-performance compute gets ever more important.
Lars Nyman
Oct 30, 2024
Introduction to supervised learning
Supervised learning uses labeled data to train models for prediction. Explore how it works, its types, and real-world applications.
Emmanuel Ohiri
Oct 24, 2024
Transformer models: What are they, and how do they work?
Transformers have redefined how machines understand and generate human language by processing data sequentially. Learn what they are, how they work, a...
Emmanuel Ohiri
Oct 4, 2024
Neural networks: How to optimize with gradient descent
Learn the different gradient descent algorithms and practical tips for effective optimization.
Emmanuel Ohiri
Oct 1, 2024
Neural networks: Introduction to generative adversarial networks
GANs consist of two neural networks - a generator & a discriminator - locked in a creative game. Learn how this leads to stunningly realistic data gen...
Emmanuel Ohiri
Sep 20, 2024
Introduction to Recurrent Neural Networks (RNNs)
Learn how Recurrent Neural Networks process data points with knowledge of their order and relationship.
Emmanuel Ohiri
Sep 17, 2024
What are Convolutional Neural Networks (CNNs)?
Explore the architecture of Convolutional Neural Networks (CNNs), their ability to learn spatial hierarchies, and their role in artificial intelligenc...
Emmanuel Ohiri
Aug 23, 2024
What is a neural network?
Discover how the interconnected nodes of neural networks mimic human learning and revolutionize technology.
Emmanuel Ohiri
Aug 5, 2024
Stable Diffusion with NVIDIA A40: a step-by-step guide
Learn how to use NVIDIA A40 GPUs on CUDO Compute to create, run, and deploy Stable Diffusion models.
Emmanuel Ohiri & Sean Berry
Jul 26, 2024
How to enhance hardware reliability for AI acceleration at scale
Learn why Cloud GPUs offer the high reliability and performance you need for success in AI and high-performance computing.
Emmanuel Ohiri
Jul 22, 2024
Deep learning with PyTorch: step-by-step on CUDO Compute
Learn how to deploy deep learning applications with PyTorch on CUDO Compute.
Emmanuel Ohiri
Jul 5, 2024
Few-shot learning: everything you need to know
Supervised machine learning relies on labeled data to train models, where each input has a designated output. However, manual labeling is expensive, t...
Emmanuel Ohiri & Sean Berry
Jul 1, 2024
Accuracy, precision and recall in deep learning
Learn the difference and when to use accuracy, precision, or recall in your AI projects.
Emmanuel Ohiri
Jun 13, 2024
A beginner’s guide to NVIDIA GPUs
This guide offers an overview of each component of an NVIDIA GPU, from architecture and Graphics Processing Clusters (GPCs) to the individual cores.
Emmanuel Ohiri
Mar 16, 2024
Accelerating AI: NVIDIA B100 rumoured unveiling at GTC 2024
NVIDIA is gearing up to introduce a pivotal breakthrough in AI technology with the upcoming unveiling of the B100 GPU.
Chris Saganic
Feb 16, 2024
Comprehensive guide to the A40 GPU with scikit-learn
Explore how the NVIDIA A40 GPU and scikit-learn enhance machine learning.
Emmanuel Ohiri
Feb 6, 2024
V100 GPU deep learning with Caffe
Learn the benefits and advantages of having V100 GPU servers in deep learning with Caffe. Know how to get the best out of your AI models with the V100...
Emmanuel Ohiri
Feb 2, 2024
How the DGX H100 accelerates AI workloads
Discover the DGX H100's capabilities as a server solution for AI applications. Explore its advantages, use cases, and integration with your existing i...
Emmanuel Ohiri
Jan 26, 2024
NVIDIA A5000: how to optimize TensorFlow GPU efficiency
Maximize TensorFlow efficiency with the NVIDIA A5000. Dive into our guide for key insights and tips on GPU performance optimization.
Emmanuel Ohiri
Jan 23, 2024
A guide to DGX A40 versus DGX V100 for machine learning
Comparing NVIDIA A40 and V100 GPUs specs and performance for ML.
Emmanuel Ohiri
Jan 18, 2024
GPUs for PyTorch: comparing the A6000 and A100
Explore how the NVIDIA A6000 compares with the NVIDIA A100 for PyTorch and Deep Learning (DL) applications.
Emmanuel Ohiri
Jan 2, 2024
How AI is contributing to the GPU shortage
Read about the GPU shortage and its impact on tech. Discover how the cloud offers a viable solution for AI and ML projects.
Emmanuel Ohiri
Dec 12, 2023
NVIDIA A40 versus A100: how do they compare?
Explore the in-depth comparison of NVIDIA A40 vs A100 GPUs, focusing on key benchmarks like VRAM bandwidth, power efficiency and rendering speed.
Emmanuel Ohiri
Nov 14, 2023
Guide to AI and ML use-cases in cloud computing
Discover some practical applications of Artificial Intelligence and Machine Learning, from efficient data management to predictive analytics, and lear...
Emmanuel Ohiri
Nov 1, 2023
How to run Stable Diffusion models on cloud-based GPUs
Discover the benefits of using cloud-based GPUs for running Stable Diffusion Models and how they bring scalability, flexibility, and affordability to ...
Emmanuel Ohiri
Sep 22, 2023
How cloud computing services accelerate AI and machine learning development
Artificial Intelligence (AI) and Machine Learning (ML) have gained significant traction in the digital era.
Emmanuel Ohiri
Aug 31, 2023
Cost of renting cloud GPUs versus buying a server for deep learning
Is renting cloud-based GPUs cheaper than buying a server for deep learning? Read our breakdown of deep learning hardware costs.
Emmanuel Ohiri
Aug 14, 2023
5 best and most cost-effective deep learning GPU systems
Learn how CUDO Compute enables cost-efficient video editing and rendering in the cloud with DaVinci Resolve.
Emmanuel Ohiri
Aug 2, 2023
On-premise versus cloud GPUs: which is better?
On-premise GPUs offer numerous benefits, such as customizability. However, cloud GPUs enable unprecedented scale and zero maintenance cost. Read the p...
Emmanuel Ohiri
Mar 16, 2023
7 ways to effectively sell cloud services in 2024
Learn seven strategies for marketing cloud services to increase visibility, attract more prospects, and convert them into paying customers.