Lambda Bare Metal Instances: full hardware control with API-driven operations

2026-05-21 · Source: The Lambda Deep Learning Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure · Depth: Advanced, short

Summary

Lambda has introduced Bare Metal Instances, a new offering that combines direct hardware access with API-driven operations, addressing the compromise between bare-metal control and cloud-grade usability. This solution, initially rolling out on Superclusters with NVIDIA GB300 NVL72 and later NVIDIA Vera Rubin NVL72, provides unmediated access to CPU, memory, GPU, disk, and TPM. Unlike virtualized instances (e.g., gpu_8x_b200_sxm6), users select bare metal types like gpu_metal-4x_gb300. The architecture leverages NVIDIA BlueField DPUs in zero-trust mode for secure provisioning and Baseboard Management Controllers (BMC) for out-of-band monitoring, ensuring hardware-rooted security and programmability for global fleets without a third-party hypervisor.

Key takeaway

For AI Architects or MLOps Engineers deploying large-scale models, you no longer need to compromise between bare-metal performance and cloud usability. Your teams can now achieve deterministic hardware behavior and full-stack attestation with API-driven infrastructure. Consider migrating performance-critical or sensitive workloads to Lambda Bare Metal Instances to streamline operations while maintaining uncompromised control and security. This approach integrates seamlessly into existing global operations stacks.

Key insights

Lambda Bare Metal Instances offer direct hardware control and API-driven operations, eliminating hypervisor overhead for AI workloads.

Principles

• Deterministic hardware behavior requires direct firmware control.
• Zero-trust DPU operation enhances host security.
• API-driven lifecycle integrates with existing control planes.

Method

Lambda's architecture uses NVIDIA BlueField DPUs for secure provisioning and BMCs for out-of-band monitoring, enabling API-driven instance lifecycle with direct hardware control.

In practice

• Use gpu_metal-4x_gb300 for bare metal access.
• Access TPM for full-stack attestation.
• Integrate with existing orchestration via self-service APIs.

Topics

• Bare Metal Instances
• NVIDIA GB300 NVL72
• NVIDIA BlueField DPU
• Hardware-rooted Security
• API-driven Infrastructure
• AI Compute

Best for: CTO, VP of Engineering/Data, AI Architect, MLOps Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by The Lambda Deep Learning Blog.