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 ...
Published on by Maxx Garrison
Scaling AI Compute Networks Frontier AI training and inference now operate at unprecedented scale. Training clusters have moved from thousands and tens of ...
Published on by Lambda
Investment will accelerate Lambda's push to deploy gigawatt-scale AI factories and supercomputers to meet demand from hyperscalers, enterprises, and frontier ...
Published on by Lambda
New deployment at LAX01, Vernon's first AI-ready data center, delivers purpose-built, NVIDIA Blackwell infrastructure to accelerate the most advanced AI ...
Published on by Anket Sah
Training large language models (LLMs) takes massive compute power, making it critical for AI teams to understand and optimize performance across their systems. ...
Published on by Lambda
Lambda to deliver mission-critical AI cloud compute at scale under a multi-year contract.
Published on by Lambda
Site in Kansas City, MO, to welcome new jobs and more than 10,000 NVIDIA GPUs, with additional growth opportunities
Published on by Khushboo Goel
The path to superintelligence depends on infrastructure capable of sustaining trillion-parameter models and reasoning workloads at scale. That’s why Lambda is ...
Published on by Lambda
Seasoned IR Leader from Zayo Group, Marqeta, and Square Brings Deep Expertise
Published on by Lambda
Lambda is one of the first cloud providers to achieve NVIDIA validation for mission-critical AI training workloads at scale
Published on by Anket Sah
Yesterday’s data centers were built for servers. Tomorrow’s must be built for GPUs. Lambda is pioneering this shift, reimagining every layer of infrastructure, ...
Published on by Lambda
Industry veteran brings deep financial and operational expertise from Tines and Palantir
Published on by Lambda
Supermicro-built 142 kW NVIDIA GB300 NVL72 systems meet zero-emissions energy at ECL’s Mountain View facility, where Lambda has doubled its footprint
Published on by Jessica Nicholson
JAX is rapidly emerging as the framework of choice for teams who need both research flexibility and production performance. While PyTorch dominates the ML ...
Published on by Anket Sah
Inference at scale is still too slow. Large models often stall under real-world load, burning time, compute, and user trust. That’s the problem we set out to ...
Published on by Anket Sah
AI infrastructure is no longer confined to the coasts. With Lambda’s one-click clusters, Supermicro’s energy-efficient systems, and Cologix’s carrier-dense ...