How SPREEAI trains the model behind photorealistic virtual try-on
A shopper uploads one photo. Ten seconds later, they’re looking at themselves wearing a garment from a brand's catalog, rendered photorealistically rather than ...
Why your Kubernetes scheduler can't handle AI workloads
Imagine this scenario: You have a distributed training job with 16 worker pods, each requesting 1 GPU. 4 GPUs are currently available. The default Kubernetes ...
How Kodiak trains the brain behind 28 driverless trucks
Twenty-eight trucks, and no humans in the cab. As of March 31, 2026, Kodiak's autonomous driving system, the Kodiak Driver, runs commercial freight on public ...
Introducing NVIDIA SHARP on Lambda 1CC: Next-Gen Performance for Distributed AI Workloads
Lambda’s 1-Click Clusters(1CC) provide AI teams with streamlined access to scalable, multi-node GPU clusters, cutting through the complexity of distributed ...
Apriel 5B: ServiceNow’s Enterprise AI Trained and Deployed on Lambda
In AI, scaling doesn’t always mean “bigger.” That’s why we champion lean, efficient LLM design, that maximizes performance while minimizing compute cost and ...
Partner Spotlight: Orchestrating large-scale agent training on Lambda with dstack and RAGEN
Lambda + dstack: Empowering your ML team with rock-solid infrastructure for distributed reasoning agent training
Unveiling Hermes 3: The First Full-Parameter Fine-Tuned Llama 3.1 405B Model is on Lambda’s Cloud
Try Hermes 3 for free with the New Lambda Chat Completions API and Lambda Chat. Introducing Hermes 3: A new era for Llama fine-tuning We are thrilled to ...
A Gentle Introduction to Multi GPU and Multi Node Distributed Training
This presentation is a high-level overview of the different types of training regimes that you'll encounter as you move from single GPU to multi GPU to multi ...
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