Intel Gaudi 2 on Denvr
Visit DenvrDenvr provides Intel Gaudi 2 accelerators in its innovative, 100% liquid immersion-cooled data centers, delivering energy-efficient, high-density compute for demanding AI workloads. Each Gaudi 2 card features 96GB HBM2e VRAM, a 24x24 ML Matrix Engine, and 600W TDP, offering NVIDIA-competitive performance for training large-scale models like LLMs at lower power and cost. This combination stands out for enterprises seeking sustainable infrastructure with industry-leading PUE, enabling dense clusters without thermal limitations. Ideal for Canadian data residency needs, it supports scalable Ethernet-based training via the open SynapseAI stack. Key value propositions include reduced TCO through efficient cooling, per-hour billing for flexibility, and avoidance of proprietary GPU ecosystems. ML engineers benefit from strong BF16/FP8 throughput, seamless PyTorch/JAX integration, and eco-conscious scaling for production AI pipelines. While software maturity lags CUDA slightly, Gaudi 2's efficiency makes it a compelling alternative for cost-sensitive, high-volume training.
Why Intel Gaudi 2 on Denvr?
Denvr's liquid immersion cooling perfectly complements Intel Gaudi 2's power-efficient design, sustaining 600W TDP cards in ultra-dense clusters without throttling, maximizing utilization for multi-node training. High-density modular data centers enable seamless scaling via Gaudi's 200/400Gbps Ethernet fabric and SynapseAI software, outperforming traditional air-cooled setups. Canadian locations ensure data sovereignty compliance for regulated industries. Per-hour billing provides pay-as-you-go flexibility, reducing CapEx for bursty workloads. This pairing offers superior energy efficiency (leading PUE), cost savings over NVIDIA H100s, and open-source alignment, ideal for enterprises prioritizing sustainability, scalability, and vendor independence without sacrificing performance.
Live Pricing
Real-time Intel Gaudi 2 offers from Denvr
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
![]() Denvr | 8×Intel Gaudi 2 96GB VRAM | 96GB | 160 vCPU 1024GB RAM 30400GB Storage | Virginia | $1.25/GPU/hr $10.00/hr total (8×) |

Performance Notes
Intel Gaudi 2 on Denvr delivers strong training performance, with MLPerf results matching NVIDIA A100/H100 in large models like BERT/GPT at 40-60% lower power. Expect 1.4 TFLOPS FP8 throughput per card, scaling efficiently to 256+ GPUs via 24x24 ML Mesh and Ethernet (200Gbps+ presumed based on Gaudi specs). Denvr's immersion cooling supports sustained peaks in dense configs, minimizing hotspots. Multi-GPU scaling excels in PyTorch with Habana SynapseAI; JAX support growing. Storage likely NVMe SSDs with high IOPS for datasets. Exact bandwidth/storage details unpublished—benchmark your workloads. Software ecosystem mature but less plugins than CUDA; monitor for optimizations.
A provider focused on high-efficiency infrastructure using 100% liquid immersion cooling for energy-efficient, high-density compute clusters.
Best For
Unique Features
- Modular, liquid-immersion cooled data centers
- Industry-leading Power Usage Effectiveness (PUE)
VRAM
96GB
Architecture
Gaudi 2
Tier
enterprise
Platform Features
Getting Started
Launching Intel Gaudi 2 on Denvr is user-friendly through their web-based console. Enterprise users can quickly provision pre-optimized instances with SynapseAI drivers, PyTorch, and JAX support. Focus on cluster sizing for your model scale, leveraging Denvr's dashboards for monitoring efficiency and scaling.
Steps
- 1Sign up for Denvr account and complete enterprise verification for GPU access.
- 2Browse GPU catalog, select Intel Gaudi 2 instance (e.g., 8x card nodes).
- 3Configure vCPU/RAM, storage volume, network, and OS image.
- 4Review per-hour pricing and click 'Launch' to deploy.
- 5Access via SSH/Jupyter; install Gaudi stack with 'habana-setup' script.
Pro Tips
- Start with Denvr's official Gaudi Docker containers for instant PyTorch compatibility and optimized drivers.
- For large-scale training, use SynapseAI's auto-scaling to leverage immersion-cooled density without manual tuning.
- Track PUE and power metrics in Denvr console to fine-tune workloads for maximum efficiency and cost savings.
Frequently Asked Questions
What is Denvr's billing model for Intel Gaudi 2?▾
Denvr bills per-hour for GPU instances including Intel Gaudi 2. Hourly billing means you pay for full hours even if your job completes mid-hour. Plan your workloads accordingly to maximize cost efficiency.
Does Denvr offer spot instances for Intel Gaudi 2?▾
No, Denvr does not currently offer spot instances for Intel Gaudi 2. 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.
How can I access Intel Gaudi 2 instances on Denvr?▾
Denvr provides access to Intel Gaudi 2 instances via SSH, built-in Jupyter notebooks. The built-in Jupyter notebook support makes it easy to start experimenting immediately without additional setup. SSH access gives you full control over the instance for custom configurations and production deployments.
What compliance certifications does Denvr have for Intel Gaudi 2 workloads?▾
Denvr maintains GDPR certification, making it suitable for regulated workloads. Contact Denvr directly for detailed compliance documentation and BAA agreements if needed.
Can I use Intel Gaudi 2 with Kubernetes on Denvr?▾
Yes, Denvr supports Kubernetes for orchestrating Intel Gaudi 2 workloads. This enables you to deploy scalable ML pipelines, manage distributed training jobs across multiple GPUs, and integrate with MLOps tools like Kubeflow, Argo Workflows, and KServe. Kubernetes support is essential for teams building production-grade ML infrastructure.
What are the specifications of the Intel Gaudi 2?▾
The Intel Gaudi 2 features 96GB of high-bandwidth memory, built on NVIDIA's Gaudi 2 architecture. As an enterprise-tier GPU, it's designed for large-scale AI training, inference at scale, and demanding HPC workloads. The substantial VRAM capacity supports large language models, complex neural networks, and multi-model deployments.
What workloads is Intel Gaudi 2 on Denvr best suited for?▾
The Intel Gaudi 2 on Denvr is well-suited for large-scale AI/ML training, LLM fine-tuning, batch inference at scale, and high-performance computing workloads. Denvr specifically excels at: Enterprises needing sustainable, high-density compute; Canadian data residency requirements. Consider your model size, training data volume, and latency requirements when evaluating this combination for your specific use case.
Does Denvr offer reserved instances for Intel Gaudi 2?▾
Yes, Denvr offers reserved instance pricing for Intel Gaudi 2, 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 Denvr for current reserved pricing and commitment terms.
What unique features does Denvr offer for Intel Gaudi 2?▾
Denvr differentiates itself with: Modular, liquid-immersion cooled data centers; Industry-leading Power Usage Effectiveness (PUE). These features may provide advantages depending on your specific workflow requirements and technical needs. Evaluate how these capabilities align with your ML infrastructure goals when making your decision.
How do I get started with Intel Gaudi 2 on Denvr?▾
To get started with Intel Gaudi 2 on Denvr, visit https://www.denvrdata.com?utm_source=gpuperhour&utm_medium=referral to create an account. Most providers offer a straightforward signup process, and some provide initial credits for new users. Once registered, you can typically launch a Intel Gaudi 2 instance within minutes through their dashboard or API. We recommend starting with a small experiment to familiarize yourself with the platform before scaling up to larger workloads.
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