AMD MI300X GPU

AMD MI300X GPU

AMD MI300X GPU

AMD MI300X GPU

Access AMD MI300X GPUs across global providers. Compare pricing, locations, configurations, and deployment options without vendor lock-in.

Access AMD MI300X GPUs across global providers. Compare pricing, locations, configurations, and deployment options without vendor lock-in.

CURRENT MARKET RATE

CURRENT MARKET RATE

$1.49 - $2.50

/hr

What is the AMD MI300X GPU?

What is the AMD MI300X GPU?

The AMD MI300X is a high-memory AI accelerator built on AMD’s CDNA 3 architecture, designed for large-scale AI workloads that are constrained by memory capacity and bandwidth.

Unlike many previous-generation accelerators, MI300X places a strong emphasis on memory density, offering 192 GB of HBM3 on a single GPU. This makes it particularly well suited for large language models, long-context inference, and memory-bound training and fine-tuning workloads.

MI300X GPUs are commonly deployed as reserved capacity by AI startups, research teams, and enterprises seeking predictable performance for sustained inference or data-intensive model workloads.

AMD MI300X SPECIFICATIONS

ARCHITECTURE

AMD CDNA 3

MEMORY

192 GB HBM3

MEMORY BANDWIDTH

Up to ~5.3 TB/s

PRECISION SUPPORT

FP16 / BF16 / FP8 / INT8

INTERCONNECT

Infinity Fabric

FORM FACTORS

OAM

PRIMARY USE CASES

Large language model inference, Memory-bound training and fine-tuning, Large-context workloads

TDP

Up to ~750W (OAM)

* Exact performance and networking capabilities vary by provider and configuration.

* Exact performance and networking capabilities vary by provider and configuration.

WHAT IS MI300X USED FOR?

01

Large language model inference

MI300X is widely used for high-throughput LLM inference, where large model weights and long context windows benefit from high on-GPU memory capacity and bandwidth.

01

Large language model inference

MI300X is widely used for high-throughput LLM inference, where large model weights and long context windows benefit from high on-GPU memory capacity and bandwidth.

01

Large language model inference

MI300X is widely used for high-throughput LLM inference, where large model weights and long context windows benefit from high on-GPU memory capacity and bandwidth.

02

Memory-bound training and fine-tuning

Teams use MI300X for training and fine-tuning workloads where model size or dataset scale exceeds the practical limits of lower-memory GPUs, reducing the need for aggressive model sharding.

02

Memory-bound training and fine-tuning

Teams use MI300X for training and fine-tuning workloads where model size or dataset scale exceeds the practical limits of lower-memory GPUs, reducing the need for aggressive model sharding.

02

Memory-bound training and fine-tuning

Teams use MI300X for training and fine-tuning workloads where model size or dataset scale exceeds the practical limits of lower-memory GPUs, reducing the need for aggressive model sharding.

03

Long-context and retrieval-augmented workloads

MI300X is well suited for workloads involving long sequences, retrieval-augmented generation, and large embedding stores, where memory footprint is a primary constraint.

03

Long-context and retrieval-augmented workloads

MI300X is well suited for workloads involving long sequences, retrieval-augmented generation, and large embedding stores, where memory footprint is a primary constraint.

03

Long-context and retrieval-augmented workloads

MI300X is well suited for workloads involving long sequences, retrieval-augmented generation, and large embedding stores, where memory footprint is a primary constraint.

04

Multi-node distributed workloads

MI300X systems are deployed in multi-node environments, using high-speed on-node interconnects and InfiniBand-based networking across nodes, depending on provider infrastructure and system design.

04

Multi-node distributed workloads

MI300X systems are deployed in multi-node environments, using high-speed on-node interconnects and InfiniBand-based networking across nodes, depending on provider infrastructure and system design.

04

Multi-node distributed workloads

MI300X systems are deployed in multi-node environments, using high-speed on-node interconnects and InfiniBand-based networking across nodes, depending on provider infrastructure and system design.

H100 Pricing Is Not Fixed - It's A Market

H100 Pricing Is Not Fixed - It's A Market

H100 pricing varies significantly depending on region, provider type, configuration, networking, and demand cycles. Public cloud rates often differ materially from neocloud and bare-metal offerings.

Live H100 availability
Regional price differences
Configuration comparisons
Flexible deployment options

Instead of negotiating blindly with a single vendor, teams can evaluate the true market for H100 capacity before committing.

Instead of negotiating blindly with a single vendor, teams can evaluate the true market for H100 capacity before committing.

DEPLOYMENT OPTIONS

DEPLOYMENT OPTIONS

Cloud instances (on-demand or contract-based)

Neocloud providers with optimized AI infrastructure

Bare-metal servers for maximum control

Single-node or multi-node clusters

Short-term burst capacity or longer-term allocations

"Compute Exchange acts as a broker and marketplace layer, helping buyers match workload needs to the right supply — without forcing architectural changes."

Global Network

Access verified providers across North America, Europe, and Asia Pacific, offering reserved capacity in multiple regions and configurations.

Why Buy H100 Through Compute Exchange

Verified Suppliers
Verified Suppliers

Access to verified H100 suppliers globally

Access to verified H100 suppliers globally

Transparent Comparison
Transparent Comparison

Clear view across providers and regions

Clear view across providers and regions

Faster Sourcing
Faster Sourcing

Faster sourcing than bilateral negotiations

Faster sourcing than bilateral negotiations

Complex Requirements
Complex Requirements

Support for networking, scaling, and compliance

Support for networking, scaling, and compliance

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COMPUTE

EXCHANGE

The transparent GPU marketplace for AI infrastructure. Built for builders.

ALL SYSTEMS OPERATIONAL

© 2025 COMPUTE EXCHANGE

TWITTER

LINKEDIN

GITHUB

BUILT FOR THE AI ERA

COMPUTE

EXCHANGE

The transparent GPU marketplace for AI infrastructure. Built for builders.

ALL SYSTEMS OPERATIONAL

© 2025 COMPUTE EXCHANGE

TWITTER

LINKEDIN

GITHUB

BUILT FOR THE AI ERA