Zyphra Expands Cloud Platform with 15 Megawatts of AMD Instinct MI355X GPU Capacity

May 11, 2026
Zyphra has announced 15 megawatts of AMD Instinct MI355X GPU capacity through Zyphra Cloud, adding new options for AI workload deployment on bare-metal AMD infrastructure.

Zyphra has announced the availability of 15 megawatts of Advanced Micro Devices, Inc. (AMD) Instinct MI355X GPU capacity through its Zyphra Cloud platform, according to a press release. The expansion introduces additional compute power for AI workloads across training, inference, and reinforcement learning.

Zyphra Cloud now supports bare metal AMD infrastructure, enabling customers to deploy and scale AI workloads with higher flexibility. The platform initially launched with serverless inference for open source models on MI355X GPUs and now offers two deployment options: on demand GPU clusters for flexible workloads and custom hyperscale AMD infrastructure for large scale training and inference.

With the new capacity, Zyphra Cloud aims to provide faster provisioning and reliable scaling for enterprises, startups, and hyperscalers running advanced AI workloads on AMD hardware.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

Guide
AI interconnect and networking startups

AI interconnect and networking startups

29 private startups developing the chips, optical switches and memory fabrics that move data through AI infrastructure.

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.