Key Enhancements

Release 25.06 is a major version extended by service pack 25.06.1, that includes new features, scalability, security and usability improvements, and bug fixes.

Version 25.06.1

UEFI Secure Boot and vTPM for guest VMs

zCompute 25.06.1 provides support for UEFI Secure Boot and vTPM in guest VMs. This enables running guest operating systems and workloads that require UEFI firmware, a verified boot chain, or a TPM device.

Load Balancer Configuration Limits

From version 25.06.1, zCompute Load Balancer supports TLS v1.3 and enforces limits on the size of a single load balancer’s configuration. The limits keep each load balancer within a size that the platform can reliably provision and reconfigure. The values match the equivalent AWS Elastic Load Balancing quotas, so existing AWS configurations and expectations carry over.

The limits apply per load balancer, to both Application Load Balancers (ALB) and Network Load Balancers (NLB), unless stated otherwise.

For further details, see Load Balancer Configuration Limits

Tenant admins can change VM OS

In version 25.06.1, when creating or modifying a VM, tenant administrators can override the detected OS of the selected source Image, ISO or Volume.

OS Support and Marketplace Images

The zCompute 25.06.1 Marketplace includes updated and newly added OS and tool images.

See Machine Images Marketplace, or go to the Machine Images > Marketplace screen in the UI to see latest available image versions for download.

Version 25.06.0

New zCompute MSP Admin Guide

The zCompute MSP Admin Guide is now available.

This guide is designed to help managed service providers streamline onboarding, monitor and manage multiple tenant resourcess efficiently.

High-performance AI Cloud Support

zCompute version 25.06 introduces expanded support for high-performance AI workloads, with infrastructure updates designed for modern GPU-based compute environments.

  • Nvidia hardware-based cloud support

    Provides native platform support for deploying GPU-accelerated workloads within the zCompute environment, optimized for AI/ML training, inference, and data processing using NVIDIA-based hardware.

    This includes support for east-west networking based on Spectrum-X architecture, that enables:

    • High-throughput communication between GPU-enabled instances.

    • Low-latency data exchange required for distributed AI workloads.

    • Improved efficiency for multi-node training and parallel processing jobs.

  • Nvidia HGX server support

    Adds support for NVIDIA HGX systems, which are purpose-built platforms designed for large-scale AI and high-performance computing workloads.

    This includes support for GPU models such as H100, H200, B200, and B300.

    These GPU models are designed for advanced AI model training and inference, supporting high memory bandwidth and parallel processing capabilities required for large-scale workloads.

  • Nvidia GPUs including RTX Pro 6000 Blackwell Server Edition

    Support for additional NVIDIA GPU models, including RTX Pro 6000 Blackwell Server Edition, for GPU-accelerated workloads in zCompute environments.

  • Revamp of infrastructure supporting new hardware

    Modernization of the underlying platform, accomodating latest compute and I/O capabilities required by modern AI infrastructure.

  • New hardware support

    Intel Xeon 6 CPU models

    Provides updated CPU support aligned with next-generation server platforms, enabling improved compute performance and better integration with GPU-based workloads.

New VM Instance Types

zCompute 25.06 introduces new familes of VM instance types:

GPU Networks

Modern AI workloads demand a dedicated, high-performance network fabric that connects GPUs within and across compute nodes, separate from general-purpose infrastructure networks.

The NVIDIA Spectrum-X Compute East-West (E-W) network provides a purpose-built Ethernet fabric optimized for GPU-to-GPU communication at cloud scale.

Multi-Tenant GPU-to-GPU Network Provisioning and Management

From version 25.06, zCompute’s GPU Networks exposes this fabric as a first-class, self-service resource. Tenants can provision, manage, and isolate GPU-to-GPU networks through the zCompute control plane, without any cross-tenant visibility, interference, or manual operator involvement.

GPU Network Management (Tenant Admin)

GPU Network Management capabilities enable tenant administrators to deploy and operate GPU-enabled instances, with the required networking and system configuration automatically handled by the platform.

Key aspects include:

  • GPU-enabled instance types

    Instance types are available with full NUMA topology awareness, including PCI hierarchy exposure. This allows workloads to align compute, memory, and GPU resources efficiently based on the underlying hardware layout.

  • Pre-configured Ubuntu machine image

    A supplied Ubuntu image includes:

    • NVIDIA GPU drivers

    • SuperNIC drivers

    • NVIDIA DOCA stack

    • NVIDIA NCCL libraries

    This reduces the need for manual driver installation and environment preparation.

  • Automated SuperNIC configuration

    During instance provisioning, the platform automatically applies the required SuperNIC configuration for the selected instance type, without the need for additional manual setup by the tenant administrator.

API updates

Symp APIs

zCompute 25.06 includes Symp API enhancements that extend API coverage for functionality introduced in this release.

AWS APIs

zCompute 25.06 includes AWS API enhancements that extend API coverage for functionality introduced in this release.