The Lambda
Deep Learning Blog

Published on March 31, 2026 by Khushboo Goel

The industry stopped asking, ‘What's possible?’ and started asking, ‘Who can deliver?’

Published on July 16, 2025 by Anket Sah

As AI models grow in complexity and size, the demand for efficient computation becomes paramount. FP4 (4-bit Floating Point) precision emerges as a ...

Published on July 15, 2025 by Ceramic AI

Ceramic is rethinking AI training infrastructure from first principles, and in partnership with Lambda, we now have the data to show why that matters

Published on October 7, 2024 by Mitesh Agrawal

Opening up options: higher-end GPUs in smaller chunks We're excited to announce the launch of new 1x, 2x, and 4x NVIDIA H100 SXM Tensor Core GPU instances in ...

Published on August 12, 2019 by Chuan Li

One of the most asked questions we get at Lambda Labs is, “how do I track resource utilization for deep learning jobs?” Resource utilization tracking can help ...

Published on March 4, 2019 by Stephen Balaban

by Chuan Li, PhD