MI250X on Cirrascale
Visit CirrascaleCirrascale's AMD Instinct MI250X offering delivers bare-metal access to this enterprise-grade GPU, optimized for deep learning and HPC workloads. Featuring 128GB HBM2e VRAM and CDNA 2 architecture, the MI250X provides exceptional memory bandwidth (3.2TB/s) and compute (up to 383 TFLOPS FP16 matrix, 47.9 TFLOPS FP64), making it ideal for large-scale model training, simulations, and data analytics. Cirrascale's non-virtualized, dedicated servers eliminate hypervisor overhead, ensuring consistent multi-GPU performance for long-running jobs. Targeted at research teams and ML engineers, this combination stands out for its reliability in environments demanding precision and scalability. Key value propositions include monthly billing for predictable costs on extended projects, integration with ROCm software stack, and a diverse hardware portfolio (AMD, NVIDIA, Qualcomm) for flexible experimentation. With Infinity Fabric enabling low-latency GPU-to-GPU communication, it excels in distributed training, offering a robust alternative to virtualized NVIDIA options where AMD ecosystem compatibility is preferred.
Why AMD Instinct MI250X on Cirrascale?
Opt for Cirrascale with the AMD Instinct MI250X for bare-metal deployment that unlocks the GPU's full potential without virtualization losses, maximizing 128GB VRAM for massive datasets and models. The provider's AI-focused infrastructure complements the MI250X's CDNA 2 strengths in HPC/AI, with optimized ROCm environments and high-bandwidth xGMI interconnects for seamless multi-GPU scaling. Monthly billing aligns perfectly with research timelines, avoiding hourly overages on prolonged trainings. Cirrascale's diverse accelerator stack allows hybrid workflows, while dedicated servers ensure isolation and consistency—unique advantages over shared cloud providers, especially for AMD-specific software like HIP or OpenMP offload.
Live Pricing
Real-time AMD Instinct MI250X offers from Cirrascale
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.28/GPU/hr $5.12/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.44/GPU/hr $5.76/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.52/GPU/hr $6.08/hr total (4×) | |||
Cirrascale | 4×AMD Instinct MI250X 128GB VRAM | 128GB | 256 vCPU 1024GB RAM 11882GB Storage | United States | $1.60/GPU/hr $6.40/hr total (4×) |
Performance Notes
On Cirrascale, expect MI250X performance near AMD specs: 47.9 TFLOPS FP64, 95.7 TFLOPS FP32, and 383 TFLOPS FP16 (sparse matrix), with excellent scaling via dual-die Infinity Fabric (up to 8 GPUs/node). Bare-metal configs support full PCIe 4.0 x16 and likely 200-400Gb/s InfiniBand for multi-node, enabling efficient distributed training. Fast NVMe storage aids data loading, but exact IOPS/bandwidth unpublished. Multi-GPU efficiency is strong for ROCm-optimized apps (e.g., PyTorch), often near-linear to 4-8 GPUs. Limitations: fewer public benchmarks vs. NVIDIA; verify ROCm version for your framework. Network/storage details may vary by config—contact provider for specifics.
An AI Innovation Cloud targeting deep learning and HPC research with dedicated performance on non-virtualized hardware.
Best For
Unique Features
- Diverse hardware stack including Qualcomm, AMD, and NVIDIA accelerators
- Bare-metal dedicated servers
VRAM
128GB
Architecture
CDNA 2
Tier
enterprise
Platform Features
Getting Started
Getting started with Cirrascale's AMD Instinct MI250X is straightforward via their self-service portal. Sign up, select a bare-metal MI250X server, deploy, and access via SSH for ROCm setup—ideal for quick iteration on dedicated hardware without virtualization delays.
Steps
- 1Create a Cirrascale account and verify via email.
- 2Navigate to bare-metal offerings and select MI250X configuration (e.g., GPU count, CPU/RAM).
- 3Customize storage/network options and choose monthly billing.
- 4Deploy the server (provisioning takes 5-30 minutes).
- 5Access via SSH, install ROCm drivers, and load your environment.
Pro Tips
- Install latest ROCm 5.7+ for optimal MI250X support and PyTorch/XLA compatibility—test with AMD's rocBLAS benchmarks first.
- For multi-GPU training, use HIP/MPI with Infinity Fabric; enable NCCL alternatives like RCCL for best scaling.
- Monitor performance with AMD uProf/rocm-smi; request InfiniBand for multi-node jobs to minimize latency.
Frequently Asked Questions
What is Cirrascale's billing model for AMD Instinct MI250X?▾
Cirrascale bills monthly for GPU instances including AMD Instinct MI250X. Monthly billing is best suited for long-running, steady-state workloads where you need consistent access to GPU resources.
Does Cirrascale offer spot instances for AMD Instinct MI250X?▾
No, Cirrascale does not currently offer spot instances for AMD Instinct MI250X. All instances are billed at on-demand rates. However, they do offer reserved instances for committed usage, which can provide significant discounts for long-term workloads.
Does Cirrascale offer reserved instances for AMD Instinct MI250X?▾
Yes, Cirrascale offers reserved instance pricing for AMD Instinct MI250X, which can provide significant discounts (typically 20-40% off on-demand rates) for committed usage periods. Reserved instances are ideal for predictable, long-running workloads like production inference services, ongoing training pipelines, or development environments that run continuously. Contact Cirrascale for current reserved pricing and commitment terms.