The Lambda Deep Learning Blog

Lambda appoints tech pioneer Jerry Hunter as Vice Chairman, Compute Delivery and Special Advisor to the Board
Former AWS infrastructure leader and Snap COO brings 30 years of Hyperscale expertise to accelerate Lambda's growth

Lambda and Oumi partner for end-to-end custom model development
Enterprises can now build and deploy custom models for their specific use cases 100x faster, with 10x better cost efficiency, and superior accuracy TL;DR: ...

Kimi K2 Thinking: what 200+ tool calls mean for production
TL;DR: Kimi K2 Thinking is Moonshot AI's open-source reasoning model, scoring 44.9% on Humanity's Last Exam with the ability to chain 200-300 sequential tool ...

From building AI infrastructure to shaping its standards: Lambda joins OCP
AI infrastructure is moving faster than the data centers designed to support it. Compute density is increasing. Power consumption is rising sharply. Thermal ...

How to deploy ML jobs on Lambda Cloud with SkyPilot
TL;DR: SkyPilot is an open-source orchestration tool that automates ML job deployment on Lambda Cloud. This tutorial covers installation, configuration, and ...

2025 AI wrapped
2025 was a year of momentum in AI. Intelligence progressed through new, innovative methods. Open-source communities released competitive models. Research labs ...

NVIDIA's Vera Rubin NVL72 coming to Lambda's Superintelligence Cloud
At Lambda, we build supercomputers that enable AI teams to deliver next-generation, frontier models. Today, we’re announcing the next evolution of our ...

JAX on NVIDIA GPUs Part 2: A practical guide for ML engineers
This guide demonstrates how to scale JAX-based LLM training from a single GPU to multi-node clusters on NVIDIA Blackwell infrastructure. We present a ...

Lambda appoints Leonard Speiser as Chief Operating Officer
Former co-founder and CEO of Clover brings deep experience in scaling mission-critical infrastructure.

How to serve Kimi-K2-Instruct on Lambda with vLLM
When your model doesn’t fit on a single GPU, you suddenly need to target multiple GPUs on a single machine, configure a serving stack that actually uses all ...

Lambda’s multi-cloud blueprint for high-performance AI infrastructure
The rapid growth of AI and ML workloads is reshaping enterprise infrastructure architecture. As demands increase, technical teams must accelerate model ...

From bigger models to better intelligence: what NeurIPS 2025 tells us about progress
NeurIPS has always been a mirror: it doesn’t just reflect what the community is building, it reveals what the community is starting to believe. In 2025, that ...

Lambda Appoints Heather Planishek as Chief Financial Officer
Industry veteran brings deep financial and operational expertise as Lambda accelerates the deployment of AI factories to meet demand from hyperscalers, ...

Silicon Photonics for AI Clusters: Performance, Scale, Reliability, and Efficiency
Scaling AI Compute Networks Frontier AI training and inference now operate at unprecedented scale. Training clusters have moved from thousands and tens of ...

Lambda Raises Over $1.5B from TWG Global, USIT to Build Superintelligence Cloud Infrastructure
Investment will accelerate Lambda's push to deploy gigawatt-scale AI factories and supercomputers to meet demand from hyperscalers, enterprises, and frontier ...