Denvr vs Nebius
Denvr and Nebius are both specialized GPU cloud providers tailored for demanding ML and AI workloads, but they cater to distinct needs. Denvr emphasizes sustainability and high-density compute through 100% liquid immersion cooling in modular data centers, achieving industry-leading Power Usage Effectiveness (PUE). This positions it ideally for enterprises prioritizing energy efficiency, high-density clusters, and Canadian data residency, though its focus on private clusters may limit accessibility for smaller teams. Billing is per-hour, with GDPR compliance ensuring data protection. In contrast, Nebius adopts an AI-centric approach with managed Kubernetes services for EU/US-compliant workloads. As a public company, it offers transparency and a startup-like agility, appealing to enterprises needing robust compliance (SOC 2, HIPAA, GDPR, ISO 27001) and flexible scaling. Its per-second billing and spot instances enable cost optimization for variable workloads. Key differentiators include Denvr's cooling efficiency for sustained high-utilization runs versus Nebius's managed services and granular billing for dynamic usage. Denvr suits large-scale, residency-bound operations valuing sustainability, while Nebius excels in compliant, managed environments for agile AI development. Overall, Denvr delivers value through operational efficiency in dense setups, and Nebius through flexibility and compliance breadth, making the choice dependent on infrastructure priorities, scale, and regulatory needs.
Our Recommendation
Choose Denvr for large enterprises (100+ engineers) running sustained, high-density GPU workloads where sustainability, low PUE, and Canadian data residency are critical—ideal for massive LLM training or inference farms with stable budgets favoring per-hour predictability over spot volatility. Its private clusters suit teams needing dedicated resources without multi-tenancy concerns. Opt for Nebius if your team (10-500 engineers) requires managed Kubernetes, broad compliance (e.g., HIPAA for healthcare AI), and cost flexibility via per-second billing and spots—perfect for startups or mid-sized ops with bursty experimentation, production inference, or EU/US regulatory needs. Nebius favors dynamic budgets and teams valuing operational simplicity over raw density. For hybrid needs, evaluate residency and management overhead; pilot both for performance benchmarking.
Live Pricing
Compare real-time GPU offers from Denvr and Nebius
| Provider | GPU Model | VRAM | Host Specs | Region | Price | Status | Action | |
|---|---|---|---|---|---|---|---|---|
QuantaCloud Partner | A100 · H100 / H200 · B200 / B300 32–1024+ GPUs · InfiniBand | ∞ | Custom configs | Multiple DCs | Reserved / cluster Get a quote in 24h | Available | ||
![]() Denvr | 4×NVIDIA A40 48GB VRAM | 48GB | 128 vCPU 512GB RAM 7600GB Storage | Virginia | $0.65/GPU/hr $2.60/hr total (4×) | |||
![]() Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 128 vCPU 1024GB RAM 15200GB Storage | Virginia | $1.15/GPU/hr $9.20/hr total (8×) | |||
![]() Denvr | 4×NVIDIA A100 PCIe 80GB 80GB VRAM | 80GB | 64 vCPU 512GB RAM 7600GB Storage | Virginia | $1.15/GPU/hr $4.60/hr total (4×) | |||
![]() Denvr | 8×Intel Gaudi 2 96GB VRAM | 96GB | 160 vCPU 1024GB RAM 30400GB Storage | Virginia | $1.25/GPU/hr $10.00/hr total (8×) | |||
![]() Denvr | 8×NVIDIA A100 SXM4 80GB 80GB VRAM | 80GB | 208 vCPU 1024GB RAM 22800GB Storage | Virginia | $1.35/GPU/hr $10.80/hr total (8×) |





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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)
Limitations
- Focus on private clusters that may exclude smaller users
An AI-centric infrastructure company providing managed services for EU/US compliant workloads.
Best For
Unique Features
- Public company with transparency
- Startup-like focus on AI
Feature Comparison
| Feature | Denvr | Nebius |
|---|---|---|
| SSH | ||
| Jupyter Notebooks | ||
| Web Terminal | ||
| API | ||
| Kubernetes | ||
| Containers |
| Feature | Denvr | Nebius |
|---|---|---|
| Billing Increment | per-hour | per-second |
| Spot Instances | ||
| Reserved Instances | ||
| Prepaid Credits |
| Certification | Denvr | Nebius |
|---|---|---|
| SOC 2 | ||
| HIPAA | ||
| GDPR | ||
| ISO 27001 |
| Feature | Denvr | Nebius |
|---|---|---|
| SLA | ||
| Enterprise Support | ||
| Discord Community |
Pricing Analysis
Denvr employs per-hour billing for on-demand instances, providing billing predictability suited to long-running jobs but less granular for short bursts—potentially leading to overcharges on idle time without spot options or reserved instances noted. Nebius offers per-second billing with spot instances alongside on-demand, enabling precise cost control for variable workloads; this favors interruptible tasks, reducing expenses by up to 70-90% on spots compared to on-demand. Implications vary by pattern: steady, multi-hour training benefits Denvr's simplicity, while intermittent fine-tuning or inference sees Nebius shine via fine-grained metering and discounts. Neither details reserved pricing explicitly, but Nebius's model supports agile scaling, whereas Denvr's hourly granularity suits committed enterprise spends. Teams should model costs based on duty cycles—high utilization (>80%) levels the field, but low/bursty usage amplifies Nebius advantages.
Nebius provides superior value for small experiments and fine-tuning, where per-second/spot pricing minimizes waste on sub-hour jobs, offering 2-5x savings over Denvr's hourly minimums for prototyping teams. For large training runs (e.g., multi-day LLM pretraining), Denvr's efficiency from liquid cooling indirectly boosts value via lower effective TCO through reduced energy costs, despite coarser billing—ideal for 100+ GPU clusters. Production inference splits: batch workloads favor Nebius spots for cost variability, while real-time steady-state inference aligns with Denvr's predictable hourly rates and density. Overall, Nebius edges for budget-conscious, variable-scale ops (<$50k/month); Denvr for high-volume, sustainability-focused spends (>$100k/month) where PUE savings compound.
Use Case Comparison
Denvr
Denvr excels in large-scale LLM training via high-density, liquid-immersion cooled clusters enabling efficient multi-GPU scaling in private setups. Leading PUE reduces energy costs for week-long runs, suiting enterprises with Canadian residency needs and stable workloads, though per-hour billing lacks spot flexibility for interruptions.
Nebius
Nebius supports LLM training with managed K8s and spot instances for cost-effective scaling, but public transparency and per-second billing better suit variable cluster sizes. Broad compliance aids regulated training, yet may lag in raw density compared to immersion cooling for ultra-high utilization.
Denvr
Denvr handles batch inference well in dense private clusters, with efficient cooling supporting high-throughput jobs. Hourly billing is straightforward for predictable batches, but lacks granularity for sporadic runs, potentially increasing costs for smaller enterprises.
Nebius
Nebius is optimized for batch inference via spot instances and per-second billing, allowing massive parallel jobs at reduced costs with managed orchestration. EU/US compliance ensures secure processing, ideal for variable batch volumes in production pipelines.
Denvr
Denvr suits real-time inference in dedicated high-density clusters, where immersion cooling maintains consistent performance under load. Private setups minimize latency variability, but hourly billing and limited small-scale access hinder agile deployments.
Nebius
Nebius enables real-time inference through managed K8s with flexible scaling and compliance (HIPAA/SOC 2), supporting low-latency services. Per-second billing optimizes always-on costs, though multi-tenancy may introduce minor jitter versus private clusters.
Denvr
Denvr is less ideal for fine-tuning due to private cluster focus excluding smaller users and per-hour billing wasting costs on short experiments. High-density suits iterative large-model tuning, but setup overhead limits rapid prototyping.
Nebius
Nebius thrives for experimentation with per-second/spot pricing minimizing costs for bursty fine-tuning runs. Managed services accelerate iteration for small teams, with strong compliance for sensitive data experiments.
Technical Comparison
Denvr leverages bare-metal-like private clusters with 100% liquid immersion cooling for high-density GPU packing, modular data centers, and Canadian residency; lacks explicit managed K8s but supports custom orchestration. Networking/storage details sparse, focusing on efficiency over virtualization. Nebius provides virtualized/managed Kubernetes with EU/US data centers, robust storage options, and networking for AI workloads—emphasizing ease-of-use and compliance over raw density.
Denvr's immersion cooling enables superior sustained performance in dense multi-GPU (e.g., 8x H100) scaling with low thermal throttling, ideal for long training; PUE advantages yield indirect speedups via reliability. Nebius offers broad GPU availability (A100/H100) with strong K8s multi-node scaling, spot-enabled elasticity, but potential virtualization overhead; no direct benchmarks, though managed services reduce setup time for ML pipelines.
Frequently Asked Questions
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