AMD INSTINCT™ MI210 GPU DEDICATED SERVERS
Power your deep learning pipelines, LLM inference, and scientific simulations with single-tenant bare metal infrastructure. Avoid hypervisor bottlenecks and maximize your compute density with 64GB of ultra-fast HBM2e memory.
The Ultimate AI Engine: Why Deploy AMD Instinct MI210 Bare Metal?
- Exascale CDNA™ 2 Architecture: Delivers 181 TFLOPS of FP16/BF16 matrix throughput for rapid machine learning training and model fine-tuning.
- Break the Memory Wall: 64GB of HBM2e ECC memory with 1,638 GB/s bandwidth prevents data starvation during massive matrix calculations.
- Open ROCm™ Ecosystem: Avoid vendor lock-in with native PyTorch and TensorFlow support, plus HIP tools for effortless CUDA code porting.
- Native PCIe 4.0 Integration: Deployed directly on enterprise dual-socket Intel Xeon or AMD EPYC hosts for 100% hardware control.
- Enterprise Network, Zero Hidden Costs: Scale with up to 100Gbps unmetered uplinks, automated anti-DDoS, and absolutely zero egress fees.
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Predictable Bare Metal Configurations
The AMD Instinct MI210 is an enterprise-grade accelerator added to robust, high-performance host platforms. You can provision the MI210 alongside versatile base configurations across our global data center network.
High-Frequency Ryzen Base
- Base CPU Specs AMD Ryzen 9 7950X3D (16C/32T)
- Base RAM 64GB – 192GB DDR5
- Base Storage 512GB – 4TB NVMe SSD
- Target Workload Rapid prototyping, fast single-thread preprocessing before GPU handoff.
Intel Xeon Gold Compute Node
- Base CPU Specs 2x Intel Xeon Gold 6230 / 6136 (Up to 40C/80T)
- Base RAM 32GB – 1.024TB
- Base Storage 240GB – 30.72TB SSD
- Target Workload Enterprise ML pipelines, high-speed parallel data pre-processing, and massive dataset ingestion without CPU bottlenecks.
AMD EPYC Compute Cluster
- Base CPU Specs AMD EPYC 9354 / 9454 (Up to 96C/192T)
- Base RAM Up to 1TB DDR5
- Base Storage Dual 3.84TB NVMe
- Target Workload Dense virtualization, multi-GPU training, and large language models (LLMs).
Global deployment available in Miami (USA), Chicago (USA), Falkenstein (Germany), Eygelshoven (Netherlands), Helsinki (Finland), and Istanbul (Turkey).
View All Base ConfigurationsThe AMD Instinct MI210 Hardware Advantage
While newer generations exist, the AMD Instinct MI210 remains a highly relevant, deeply cost-effective powerhouse for modern computational workloads. It brings exascale-class technology to a standard PCIe 4.0 form factor, meaning it fits into highly versatile, standard rack servers rather than requiring hyper-specialized chassis infrastructure.
Massive Memory & Bandwidth
Machine learning is heavily memory-bound. The MI210 is equipped with 64 GB of High Bandwidth Memory (HBM2e) with ECC, delivering an astonishing 1,638 GB/s of bandwidth to prevent data starvation during model training.
CDNA™ 2 Architecture
Built purely for compute rather than graphics output, delivering 181 TFLOPS of FP16/BF16 performance and 22.63 TFLOPS of FP32 for dense matrix calculations without structured sparsity inflation.
Readily Available Power
Avoid the months-long backorders associated with competing hardware. The MI210 offers immense FP64 (double precision) performance available for rapid deployment today.
Unrestricted ROCm™ Open Software Ecosystem
Avoid proprietary software lock-in and excessive licensing fees. The AMD Instinct MI210 runs on ROCm (Radeon Open Compute), AMD's open-source computing platform designed for seamless AI deployment.
Native ML Framework Support
Deploy production-ready models instantly with native, optimized support for PyTorch, TensorFlow, JAX, and ONNX Runtime.
Effortless Code Porting
The HIP (Heterogeneous-Compute Interface for Portability) toolkit allows developers to easily transition existing CUDA codebases to run optimally on AMD Instinct architecture.
Containerized Deployment
Full compatibility with Docker and Kubernetes ensures your ML ops and CI/CD pipelines can scale identically to traditional hardware environments.
Master Your Specific Workloads
The AMD Instinct MI210 is purpose-built to accelerate highly specific, data-intensive fields.
Machine Learning & Deep Learning Training
Train complex neural networks and fine-tune Large Language Models (LLMs). The 64GB of HBM2e allows you to fit large batch sizes directly in the GPU memory, significantly speeding up training loops.
Scientific Computing & HPC
Accelerate workloads requiring high double-precision (FP64) throughput, including computational fluid dynamics, weather forecasting, genomic sequencing, and molecular modeling.
Large-Scale Inference
Host and serve LLMs and AI applications to end-users globally with low latency and high concurrent throughput.
Financial Services & Quantitative Modeling
Accelerate complex Monte Carlo simulations, algorithmic trading backtesting, and real-time risk analysis. The massive double-precision (FP64) compute performance of the CDNA 2 architecture enables financial institutions to execute predictive algorithms at unprecedented speeds.
Massive-Scale Big Data Analytics
Offload massive database queries, unstructured data transformation, and real-time analytics. By feeding colossal datasets directly into the 1,638 GB/s HBM2e memory pool, data scientists can process and visualize enterprise data without waiting on traditional CPU bottlenecks.
Advanced Computer Vision & Geospatial Analysis
Process extremely high-resolution image datasets for autonomous vehicle training, satellite imagery processing, and medical diagnostics. The 64GB VRAM capacity allows for massive batch sizes of uncompressed spatial data to pass through Convolutional Neural Networks (CNNs) without OOM errors.
Frequently Asked Questions
What memory does the AMD Instinct MI210 provide?
The MI210 carries 64 GB of HBM2e (High Bandwidth Memory) with ECC. This provides an incredible 1,638 GB/s of memory bandwidth, ensuring massive AI training datasets and memory-bound scientific workloads are processed efficiently without waiting on standard system RAM.
Is the AMD Instinct MI210 suitable for Cloud Gaming or Video Rendering?
No. The MI210 is a pure compute accelerator. It does not feature video display outputs or hardware ray-tracing logic. For video rendering, CAD, or cloud gaming, you should select one of our NVIDIA GTX/RTX or AMD Radeon discrete GPU configurations.
How hard is it to port my existing ML code to AMD hardware?
AMD’s ROCm platform is highly mature and natively supports standard PyTorch and TensorFlow environments. Furthermore, AMD's HIP toolset allows developers to automatically translate and port existing proprietary CUDA scripts to run directly on the MI210.
Can I scale the storage and bandwidth to handle large AI datasets?
Yes. Through our configurator, you can add up to 1.024TB of DDR5 system RAM, massive 30.72TB NVMe SSD storage arrays, and network uplinks ranging from 1Gbps up to 100Gbps Unmetered.
Do you throttle the MI210's performance?
Never. You are provisioning a strictly single-tenant bare metal server. You receive 100% direct access to the MI210 hardware registers and host CPU cores without any hypervisor degradation or noisy neighbors.
Is the AMD Instinct MI210 a data-center GPU?
Yes. AMD designed the MI210 as a highly advanced data-center compute accelerator in a standard PCIe 4.0 add-in-card form factor, specifically engineered for HPC and enterprise AI computing.
What architecture does the AMD Instinct MI210 use?
The MI210 is powered by AMD's 2nd-generation CDNA™ 2 architecture, featuring Matrix Core technology designed exclusively for compute-intensive workloads rather than traditional graphics rendering.
Is the AMD Instinct MI210 good for GPU-accelerated scientific computing?
Absolutely. Its CDNA 2 architecture, immense FP64 (double precision) capabilities, 64GB of HBM2e memory, and 1,638 GB/s memory bandwidth make the MI210 the perfect accelerator for complex scientific and HPC applications.