MI300X on Cirrascale
Visit CirrascaleCirrascale's AMD Instinct MI300X offering delivers 192GB HBM3 VRAM per GPU on bare-metal dedicated servers, targeting research teams in deep learning and HPC needing reliable, non-virtualized multi-GPU performance for extended training jobs. The CDNA 3 architecture powers exceptional AI/HPC workloads, with massive memory enabling unpartitioned large language models and scientific simulations. This combination stands out for eliminating virtualization overhead, ensuring consistent throughput without noisy neighbors. Cirrascale's AI Innovation Cloud provides a diverse hardware stack—AMD, NVIDIA, Qualcomm—on monthly billing, ideal for cost-effective long runs versus hourly models. Key value propositions include dedicated resources for reproducible results, seamless multi-GPU scaling, and optimized ROCm support. ML engineers benefit from handling memory-intensive tasks like fine-tuning 100B+ parameter models, where MI300X's bandwidth and compute excel, making it a strong enterprise-tier alternative to NVIDIA H100 for AMD-optimized stacks.
Why AMD Instinct MI300X on Cirrascale?
Cirrascale pairs perfectly with MI300X via bare-metal servers, maximizing the GPU's 192GB VRAM and CDNA 3 capabilities without virtualization losses. Dedicated hardware ensures consistent multi-GPU performance via Infinity Fabric links, vital for long-training research. Monthly billing minimizes costs for weeks-long jobs, unlike hourly providers. The platform's AI-focused infrastructure offers pre-tuned ROCm environments and diverse accelerators, enabling hybrid NVIDIA/AMD workflows. Strengths include high uptime, scalable storage, and no resource contention, complementing MI300X's memory-bound excellence for LLMs and HPC, providing predictable scaling and reproducibility unattainable in shared clouds.
Live Pricing
Real-time AMD Instinct MI300X offers from Cirrascale
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
 Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.08/GPU/hr $24.64/hr total (8×) | |||
Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.47/GPU/hr $27.76/hr total (8×) | |||
Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.66/GPU/hr $29.28/hr total (8×) | |||
Cirrascale | 8×AMD Instinct MI300X 192GB VRAM | 192GB | 192 vCPU 2355GB RAM 44538GB Storage | United States | $3.85/GPU/hr $30.80/hr total (8×) |
Performance Notes
Expect MI300X on Cirrascale to hit near-peak 153 TFLOPS FP16/2.2 PFLOPS FP8 with 192GB VRAM, ideal for memory-bound AI training. Bare-metal enables efficient 8-GPU scaling via Infinity Fabric (900GB/s bidirectional). Network likely 400Gbps+ InfiniBand/RoCE for clusters, though exact configs unpublished. NVMe storage supports fast dataset loading; ROCm optimization key for full perf. Benchmarks show MI300X rivaling H100 in bandwidth-heavy tasks, but FP64 lags NVIDIA. Multi-node scaling solid for research; real-world results vary by workload—test with PyTorch ROCm for validation. Limitations: AMD ecosystem maturity behind CUDA.
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
192GB
Architecture
CDNA 3
Tier
enterprise
Platform Features
Getting Started
Getting started with Cirrascale's MI300X involves signing up, selecting a bare-metal config, and deploying via their portal. Provisioning takes hours; access via SSH for ROCm setup and ML frameworks. Monthly commitment suits long jobs; focus on multi-GPU configs for scale.
Steps
- 1Create a Cirrascale account and verify via portal.
- 2Browse catalog, select MI300X bare-metal server with desired GPU count.
- 3Configure CPU/RAM/storage (e.g., 2x EPYC, 2TB RAM, NVMe SSDs).
- 4Choose monthly billing and deploy instance (provisioning ~2-4 hours).
- 5SSH in, install ROCm 6.0+, and validate with rocm-smi.
Pro Tips
- Optimize for ROCm-compatible frameworks like PyTorch 2.3+ to leverage MI300X's full HBM3 bandwidth.
- Use multi-GPU setups early; test Infinity Fabric scaling with Horovod or DeepSpeed for efficiency.
- Monitor costs with monthly billing—reserve for >1 week jobs to maximize value over spot instances.
Frequently Asked Questions
What is Cirrascale's billing model for AMD Instinct MI300X?▾
Cirrascale bills monthly for GPU instances including AMD Instinct MI300X. 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 MI300X?▾
No, Cirrascale does not currently offer spot instances for AMD Instinct MI300X. 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 MI300X?▾
Yes, Cirrascale offers reserved instance pricing for AMD Instinct MI300X, 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.
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