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Webinar: Learn about the price-to-performance advantage of AMD MI355X GPUs on Vultr

AMD MI355X

AMD MI355X GPUs deliver exceptional acceleration for high performance computing and AI. Built with 288 GB HBM3E memory and up to 8 TB/s memory bandwidth, AMD MI355X GPUs handle larger models with fewer GPUs. With support for FP4 and FP6 datatypes, AMD MI355X GPUs maximize computational throughput, energy efficiency, and memory bandwidth for faster AI inference. The MI355X GPUs’ 4th Gen AMD CDNA™ architecture enhances performance for training massive AI models, AI inference, and complex HPC workloads such as modeling and scientific simulations.

AMD MI355X
Starting at
$2.290 / Per hour
Starting at $2.290/GPU/ hour
with 48-month contract, 730 hours / month

Exceptional acceleration for the world’s most demanding AI and HPC workloads

Key Features

  • Next-generation architecture

    Powered by the cutting-edge AMD CDNA 4 architecture

  • Expanded datatype support

    Supports FP4 and FP6 datatypes and enhanced FP16 and FP8 processing for maximizing computational throughput

  • Increased efficiency

    288 GB HBM3E memory and 8 TB/s memory bandwidth per GPU ensures larger models can be processed in-memory on each GPU, while direct liquid cooling decreases energy requirements

  • Built-in security

    Device Secure Boot helps ensure only trusted firmware runs, while AMD Infinity Fabric™ Link security protects high-speed GPU to GPU networking

  • Open software stack

    Harnesses the latest AMD ROCm™ open software stack, the premier alternative for AI and HPC

Delivering inference-optimized efficiency and excelling at HPC and AI training workloads

Process more data in-memory for greater efficiency and high performance. Download the datasheet to learn how.

No information is required for download

Enterprise-ready at
any scale and any location

Clusters at any size

Vultr's enterprise-ready infrastructure seamlessly supports any cluster size of AMD GPUs. Whether you require a small cluster or a massive deployment, Vultr ensures reliable, high-performance computing to meet your specific needs.

Globally available, locally accessible

Large clusters of AMD GPUs are available where you need them, thanks to Vultr's extensive infrastructure. With 32 cloud data center regions across six continents, we guarantee low latency and high availability, enabling your enterprise to achieve optimal performance worldwide.

Enterprise-grade compliance and security

Vultr ensures our platform, products, and services meet diverse global compliance, privacy, and security needs, covering areas such as server availability, data protection, and privacy. Our commitment to industry-wide privacy and security frameworks demonstrates our dedication to protecting our customers' data.

Powered by AMD ROCm™
open software ecosystem

AMD ROCm™ is the only open software platform for GPU computing, ensuring freedom from vendor lock-in and from limited architectural options.

AMD ROCm™ works out of the box and is supported on hundreds of open-source platforms, letting developers design the solutions they need to advance their models without the concerns of being locked into a proprietary solution.

Illustration of the AMD ROCm™ open software ecosystem. This includes an AI ecosystem optimized for AMD with PyTorch and other frameworks; a proven software stack including libraries, compilers, tools, and runtime; and AMD  GPU Leadership performance.

AMD MI355X Platform

Specifications

AMD MI355X GPUs
8
Form factor
UBB 2.0 module
GPU compute units
2048
Matrix cores
8192
Peak engine clock
2200 MHz
Memory capacity
Up to 288 GB HBM3E per GPU
Memory bandwidth
8.0 TB/s max. peak theoretical per GPU
Memory interface
8192 bits
AMD Infinity Cache™ (last level)
256 MB per GPU

AI peak theoretical performance

with sparsity
FP16 (PFLOPs)
20.1
40.3
BFLOAT16 (PFLOPs)
20.1
40.3
INT8 (PFLOPs)
40.3
80.5
INT4 (POPs)
40.3
80.5
FP8 (PFLOPs)
40.3
80.5
FP6 (PFLOPs)
80.5
161.1
FP4 (PFLOPs)
80.5
161.1

HPC peak theoretical performance

(TFLOPS)
FP64 vector
628.8
FP32 vector
1.3
FP64 matrix
628.8
FP32 matrix
1.3

Customer success stories and use cases

Explore how leading organizations in the manufacturing and energy industry, equipped with the right tools, achieve security, connectivity, and efficiency using Vultr’s cloud solutions.

Hybrid cloud connectivity for IoT image processing
Connected drones capture real-time data from oil fields, processed locally by Gravio for anomaly detection. Data is securely transmitted via Console Connect to Vultr’s high-performance cloud, enabling AI workflows for insights, trend detection, and alerts.
Asset management in the oil and gas sector
Harness Vultr, AMD GPUs, digital twins, and drones to optimize asset management in oil and gas. Enable real-time monitoring, predictive maintenance, and operational efficiency to reduce costs and boost performance.

"At ConfidentialMind, we specialize in deploying generative AI applications and agents in on-premises and private cloud environments. With Vultr Cloud GPUs, including the AMD MI300X, we harness the computational power needed to train and run complex language models. Vultr Kubernetes Engine streamlines deployment and scaling across on-prem, private cloud, and edge environments. Vultr’s infrastructure delivers the performance, scalability, and data security that enable our customers to create and deploy AI applications tailored to their unique needs without compromising data sovereignty or operational efficiency."

Severi Tikkala
CTO at ConfidentialMind

Access advanced hardware without the typical complexities

Discover how Vultr's integration of AMD MI355X GPUs is reshaping what's possible for AI and HPC in the cloud. This IDC report explores the strategic impact of Vultr’s partnership with AMD, the advantages of cutting-edge GPU architecture, and what it means for developers, enterprises, and innovators alike.

No information is required for download

Additional resources

FAQ

What are AMD GPU accelerators?

AMD GPU accelerators are AMD’s trademark data center GPUs, architectured for artificial intelligence (AI), high-performance computing (HPC), and machine learning (ML) workloads. Integration with AMD’s CDNA™ architecture and ROCm™ software enables high-density, high-throughput deployments with low latency.

What differentiates the MI355X from previous models?

The AMD MI355X is built on the AMD CDNA™ 4 architecture, which supports advanced datatypes like FP6 and FP4, whereas the MI300X and MI325X are built on CDNA™ 3 architecture. Additionally, 288GB of HBM3E memory and 8TB/s memory bandwidth is up from 256GB and 6TB/s, respectively, in the MI325X.

Who would benefit from the MI355X?

The AMD MI355X is optimized for AI inference, training, and scientific simulation, benefitting any enterprise, innovator, or developer looking to scale and deploy agentic AI applications.

What do AMD GPUs offer for AI training and inference?

AMD GPUs offer the following for AI training and inference:

  • Strong memory bandwidth for AI training
  • Accelerated matrix computations for deep learning models
  • Price-to-performance advantages in scaling cloud AI infrastructure
  • Efficient performance per watt for HPC workloads

How can I deploy AMD MI355X GPUs?

AMD MI355X GPUs can be deployed as:

  • Vultr Bare Metal servers: For full control of your environment, deploy AMD MI355X as single-tenant dedicated servers, affording direct access to the full capacity of a GPU server with no virtualization overhead.
  • Vultr Cloud GPU virtual machines: Offered as 8-GPU plans with the lightest of virtualization, providing near bare metal performance with simple integration of virtual machines. These plans also offer seamless integration with Vultr Cloud Storage.

How does Vultr optimize performance for AI compute?

AMD’s GPUs and ROCm™ ecosystem on Vultr enable rapid scaling and deployment of AI workloads, as well as seamless integration. Read how Vultr and AMD’s collaboration accelerates AI efficiency.

What other AMD products does Vultr offer?

AMD solutions available on Vultr include the AMD MI300X, MI325X, and MI355X GPUs, as well as AMD EPYC™ 9004 Series, AMD EPYC 7003 Series, and AMD EPYC 4005 Series processors. As a Vultr Cloud Alliance member, AMD helps power a composable, open ecosystem of best-in-class partners delivering integrated cloud computing solutions and services.

What are AMD GPU accelerators?

AMD GPU accelerators are AMD’s trademark data center GPUs, architectured for artificial intelligence (AI), high-performance computing (HPC), and machine learning (ML) workloads. Integration with AMD’s CDNA™ architecture and ROCm™ software enables high-density, high-throughput deployments with low latency.

Reserve AMD
MI355X GPUs now

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