Accelerate Your AI Workflow with FP4 Quantization on Lambda
As AI models grow in complexity and size, the demand for efficient computation becomes paramount. FP4 (4-bit Floating Point) precision emerges as a ...
Featured
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 infrastructure. Now, we're pushing the envelope further by integrating NVIDIA's Scalable Hierarchical Aggregation and Reduction Protocol (SHARP) into our multi-tenant 1CC environments. This technology reduces communication latency and improves bandwidth efficiency, directly accelerating training speed of distributed AI workloads.
Recent
Ceramic Training Infrastructure Delivers Superior Performance on Lambda's NVIDIA HGX B200
Ceramic is rethinking AI training infrastructure from first principles, and in partnership with Lambda, we now have the data to show why that matters
Lambda’s Q2 2025 Launches: AI Innovation at Warp Speed
As we wrap up Q2, it’s time to celebrate Lambda’s relentless drive to push the boundaries of AI infrastructure and tooling. From April through June, we ...
To top