Get into the ARMs race: future-proof your workloads now with Lambda
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Lambda is committed to smoothing your transition to the future. We're excited to announce that you can start testing your applications on the current generation NVIDIA GH200 Superchip, today. This chip offers the same powerful combination of ARM64 CPU and Tensor Core GPU (one H100, in GH200’s case) as the Grace Blackwell platform.
Our Machine Learning Research team has been actively exploring the capabilities of GH200. We're happy to share what we've learned to support your work.
Consult on ARM64
NVIDIA Blackwell Architecture
A New Class of AI Superchip
Blackwell GPUs pack 208 billion transistors and a 10 TB/s chip-to-chip interconnect, delivering unmatched performance for AI workloads.
Second-generation Transformer Engine
Custom Blackwell Tensor Core technology, with new precision formats and micro-tensor scaling, doubles model performance while maintaining high accuracy.
Confidential Computing for secure AI
Blackwell is the first TEE-I/O capable GPU, protecting sensitive data and AI models from unauthorized access without sacrificing on performance.
Fifth-generation NVIDIA NVLinkTM
The latest interconnect scales up to 576 GPUs, delivering 1.8 TB/s bandwidth between servers in a cluster for seamless multi-server communication.
Decompression Engine
Blackwell’s Decompression Engine leverages a 900 GB/s high-speed link to the NVIDIA Grace CPU, accelerating database queries for the highest performance in data science and analytics.
Reliability, Availability, and Serviceability (RAS) Engine
The RAS Engine continuously monitors system performance, proactively identifying issues and reducing downtime through effective diagnostics and remediation.
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