highData Center

MI100 GPU

The AMD Instinct MI100 was the first CDNA architecture accelerator, designed for HPC and AI workloads.

VRAM 32GB
TDP 300W
Contact providers for pricing
Compare PricesSpecs →
MI100 GPU

Cloud Pricing

No pricing data available for this GPU at the moment.

Prices updated daily. Last check: 4/8/2026

Performance

FP16
184.6 TFLOPS
Bandwidth
1228 GB/s

Strengths & Limitations

  • 32GB HBM2 memory provides substantial capacity for large datasets
  • 1.2TB/s memory bandwidth supports memory-intensive computations
  • Strong FP64 performance at 11.5 TFLOPs suitable for scientific computing
  • Full-chip ECC memory protection ensures data integrity
  • 300W TDP allows deployment in standard data center power envelopes
  • Three Infinity Fabric links enable multi-GPU scaling
  • AMD ROCm open-source ecosystem provides framework flexibility
  • 300W power consumption requires adequate cooling infrastructure
  • First-generation CDNA architecture lacks features found in newer MI200/MI300 series
  • Limited to PCIe connectivity without native NVLink-equivalent high-speed GPU interconnect
  • AMD software ecosystem has smaller third-party library selection compared to CUDA
  • Released in 2020, now superseded by more recent accelerator generations

Key Features

•AMD CDNA Architecture
•AMD Infinity Architecture
•AMD ROCm software ecosystem
•Infinity Fabric Links
•Full-chip memory ECC
•HBM2 memory subsystem
•4096-bit memory interface
•TSMC 7nm FinFET fabrication

About MI100

The AMD MI100 is a high-performance data center accelerator built on AMD's CDNA architecture, fabricated using TSMC's 7nm FinFET process. Released in November 2020, the MI100 represents AMD's first-generation CDNA design, positioned as a compute-focused alternative to graphics-oriented solutions for scientific and machine learning workloads. As part of AMD's Instinct accelerator lineup, it sits below the more recent MI200 and MI300 series in the current product hierarchy. The MI100 features 32GB of HBM2 memory connected via a 4096-bit memory interface, delivering 1.2TB/s of memory bandwidth. Performance specifications include 184.6 TFLOPs of FP16 throughput, 23.1 TFLOPs of FP32, and 11.5 TFLOPs of FP64, along with 92.3 TOPs for both INT4 and INT8 operations. The accelerator operates with a 300W TDP and includes full-chip ECC memory protection. Connectivity is provided through PCIe 4.0 x16 interface with three Infinity Fabric links offering 92GB/s peak bandwidth. In cloud deployments, the MI100 serves workloads requiring substantial memory capacity and bandwidth, particularly in high-performance computing and machine learning training scenarios. The passive cooling design and PCIe form factor make it suitable for standard data center rack configurations, while AMD ROCm software ecosystem support enables deployment across various HPC and AI frameworks.

Common Use Cases

The MI100 is designed for high-performance computing workloads that benefit from its substantial 32GB memory capacity and strong FP64 performance capabilities. Scientific simulations, computational fluid dynamics, and molecular modeling applications can leverage the 11.5 TFLOPs of double-precision performance. Machine learning training workloads requiring large memory footprints can utilize the 1.2TB/s memory bandwidth and 184.6 TFLOPs of FP16 performance. The accelerator is also suitable for inference deployments where the 32GB memory allows hosting multiple large models simultaneously.

Full Specifications

Hardware

Manufacturer
AMD
Architecture
CDNA
TDP
300W

Memory & Performance

VRAM
32GB
Memory Bandwidth
1228 GB/s
FP16
184.6 TFLOPS
FP64
11.54 TFLOPS
Release
2020

Frequently Asked Questions

How much does a MI100 cost per hour in the cloud?

MI100 pricing varies by provider, region, and commitment level. Check the pricing table above for current rates across all providers.

What is the MI100 best used for?

The MI100 excels at HPC workloads requiring strong FP64 performance and large memory capacity, including scientific simulations and computational modeling. It also handles machine learning training tasks that need substantial memory bandwidth and capacity for large datasets.

How does the MI100 compare to newer AMD accelerators?

The MI100 uses first-generation CDNA architecture with 32GB HBM2 memory, while newer MI200 series offers updated CDNA2 architecture and MI300 series provides CDNA3 with higher memory capacities and improved performance per watt. The MI100 remains viable for workloads that fit within its memory and compute specifications.