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Nebius AI Alternatives in 2026: GPU Cloud Providers Compared

Nebius H100 on-demand costs $3.85/hr. packet.ai A100 80GB is $1.43/hr - a GPU Nebius does not offer. Compare the best Nebius AI alternatives on price, availability, and EU data residency in 2026.

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packet.ai Team
August 26, 2026

Nebius AI Cloud H100 on-demand costs $3.85/GPU-hr in August 2026. packet.ai A100 80GB costs $1.43/hr - a GPU Nebius does not offer at all. RTX 6000 Pro at $0.66/hr handles 70B QLoRA inference on a single 96GB card, versus Nebius RTX PRO 6000 at $1.80/hr on-demand. The nebius pricing gap is real for teams that do not need EU data residency or enterprise InfiniBand clusters.

Key takeaways

  • Nebius on-demand GPU pricing in August 2026 from nebius.com/prices: H100 $3.85/hr, H200 $4.50/hr, B200 $7.15/hr, RTX PRO 6000 $1.80/hr. Preemptible rates: H100 $2.15/hr, H200 $2.45/hr. Egress: $0.015/GiB - a cost most alternatives waive entirely.
  • Nebius has no A100 or older GPU in its catalog. Teams that need A100 80GB for cost-effective training at scale have no Nebius path. packet.ai A100 80GB at $1.43/hr fills that gap directly.
  • Nebius H200 30-day availability score: 59% (GPU Finder, August 2026). H100 is 99%. For teams that need H200 access without quota delays, availability is the real constraint - not price.
  • Large-scale H100/H200 clusters and GB200/GB300 at Nebius require a quota approval workflow and sales engagement. Teams that need compute in hours, not days, hit that wall first.
  • Nebius is EU-first with US expansion underway. For teams outside the EU with no GDPR data residency requirement, the EU-centric infrastructure adds latency with no compliance benefit.
  • For managed LLM inference rather than raw GPU access, packet.ai Token Factory serves Llama 3.3 70B at $0.59/M and Llama 3.1 8B at $0.06/M - an alternative to Nebius inference that requires no GPU management at all.

Nebius AI Cloud (Nasdaq: NBIS) is a serious neocloud. $3B ARR, 454% YoY revenue growth, InfiniBand HGX clusters, Blackwell access, Microsoft and Meta as anchor tenants, and EU data center infrastructure that competes directly with AWS and Azure for GDPR-regulated workloads. SemiAnalysis ClusterMAX placed Nebius one tier below CoreWeave alone at the top - above Azure, Oracle, and everyone else in the Gold tier. For the specific workloads Nebius targets - large-scale multi-node training with HGX clusters and EU data residency - it is one of the best options in 2026.

The gaps are structural. No A100 or older GPUs means no cheap single-card training path. The nebius ai cloud catalog is current-generation-heavy, which is a feature for frontier training and a constraint for cost-sensitive fine-tuning. H200 availability at 59% over 30 days means quota shortfalls are real. Egress at $0.015/GiB adds a compounding cost that alternatives waive. For teams that want HGX cluster training in the EU, Nebius is hard to beat. For teams that want the cheapest A100 on the market, or RTX-class inference at half Nebius's rate, or GPU access without a quota process, the alternatives below are where to look.

Note: this post does not cover RunPod or Lambda Labs - both have dedicated comparison posts. For RunPod see the RunPod alternatives guide. For Lambda Labs see the Lambda Labs alternatives guide. For the full GPU cloud comparison, see the 10 best GPU cloud providers for AI.

Four Reasons Teams Look Beyond Nebius AI Cloud

01

No A100 or older GPU in the catalog

Nebius's self-serve catalog covers H100, H200, B200, B300, L40S, and RTX PRO 6000. No A100, no RTX 4090, no older generation hardware. For teams running cost-optimised fine-tuning where A100 80GB handles the workload at a lower $/hr, Nebius has no path. packet.ai A100 80GB at $1.43/hr versus Nebius H100 at $3.85/hr on-demand: for a 100-hour QLoRA run, that is $143 versus $385 on similar-VRAM hardware. If A100 fits your VRAM requirement, Nebius forces you to overspend on H100.

02

Quota process for large clusters and H200 availability gaps

Accessing H100 and H200 at scale on Nebius requires going through a quota approval workflow. Teams that need compute for a deadline or a sudden training push get blocked waiting. GPU Finder's 30-day availability tracking (August 2026) shows Nebius H100 at 99% - excellent. H200 at 59% - constrained. GB200/GB300 require a sales engagement, not a console checkout. For teams that need multiple H200 nodes today, the availability reality matters more than the list price.

03

Egress fee at $0.015/GiB

Nebius charges $0.015/GiB for object storage egress. For training pipelines that move large datasets in and out - checkpoints, evaluation outputs, model weights for deployment - this fee compounds. A team pulling 10TB of training data out of Nebius object storage pays $150 in egress alone. packet.ai, Vast.ai, and most alternatives waive egress entirely. The egress fee is not visible in the GPU rate comparison but shows up in the monthly bill once storage workflows are live.

04

EU-first infrastructure with US still expanding

Nebius's primary data centers are in Finland and Paris, with US expansion underway. For teams in the US or APAC with no EU data residency requirement, the EU-centric infrastructure adds latency without compliance benefit. Nebius's EU positioning is a genuine advantage for GDPR-regulated workloads - but it becomes a constraint when teams in other regions pay EU-region pricing and accept EU-region latency for no regulatory reason.

Nebius vs Alternatives: GPU Pricing Compared

All rates verified August 2026 from provider pages. Nebius pricing from nebius.com/prices (August 2026). packet.ai pricing from packet.ai pricing page (August 2026).

Provider H100/hr (on-demand) H200/hr A100 80GB/hr Egress fee Quota process
Nebius AI Cloud $3.85/hr $4.50/hr Not available $0.015/GiB Yes - large clusters
packet.ai $2.50/hr (launching) - $1.43/hr Free None
Vast.ai (spot) From $1.55/hr Available From $0.67/hr Free None
Hyperstack (EU) From $1.90/hr Available Available - None
GMI Cloud $2.00/hr $2.60/hr Available Free None
JarvisLabs From $2.49/hr $3.99/hr From $1.99/hr Free None
Hyperstack (GDPR EU) From $1.90/hr Available Available - Norway, UK, Canada

Nebius pricing from nebius.com/prices (August 2026). packet.ai pricing from packet.ai pricing page (August 2026). Vast.ai spot rates from ecorpit.com (July 2026). Hyperstack H100 rate from Spheron's Nebius alternatives guide (March 2026). GMI Cloud H100 and H200 rates from GMI Cloud blog (May 2026). JarvisLabs rates from JarvisLabs pricing page and JarvisLabs H200 blog (August 2026). All rates subject to change - verify before committing.

packet.ai A100 80GB at $1.43/hr sits in a category Nebius does not serve. For A100-class VRAM at lower cost than Nebius H100, there is no Nebius equivalent to compare against.

1packet.ai: A100 at $1.43/hr, RTX 6000 Pro at $0.66/hr, No Egress

packet.ai is the most direct answer to Nebius's A100 gap. Nebius has no A100 in its catalog. packet.ai A100 80GB at $1.43/hr gives teams 80GB HBM2e VRAM at less than half Nebius H100's on-demand rate - for workloads where A100 80GB handles the job (13B full fine-tuning, 70B QLoRA, most 7B inference at scale), there is no reason to pay Nebius H100 rates. RTX 6000 Pro at $0.66/hr with 96GB VRAM handles 70B QLoRA on a single card for 63% less than Nebius RTX PRO 6000 at $1.80/hr. Zero egress fees versus Nebius's $0.015/GiB - for teams moving checkpoints and model weights regularly, that difference compounds.

$1.43/hr

A100 80GB (no Nebius equiv.)

$0.66/hr

RTX 6000 Pro (vs $1.80 Nebius)

$3.75/hr

B200 on-demand

$0

Egress (vs $0.015/GiB Nebius)

Where packet.ai differs structurally from Nebius: no InfiniBand multi-node cluster offering for large-scale training, and no EU data center currently (APAC launching Q3 2026). For teams running single-node or small multi-GPU fine-tuning and inference workloads, those constraints do not matter. For teams running 100-GPU distributed pretraining that needs InfiniBand fabric and EU data residency, Nebius is the right choice and packet.ai is not the substitute. For everything below that scale, the cost math is hard to argue with. The Token Factory inference API (Llama 3.3 70B at $0.59/M, Llama 3.1 8B at $0.06/M) is an alternative to nebius inference for teams that want managed LLM serving without spinning up GPU infrastructure at all. For the full self-host vs managed API break-even, see the LLM inference cost breakdown.

Best for: Teams that need A100 80GB at the lowest on-demand rate available, RTX-class inference at half Nebius's rate, or B200 Blackwell at $3.75/hr with no quota process. Not the Nebius replacement for EU data residency or 100+ GPU InfiniBand cluster training.

2GMI Cloud: H100 at $2.00/hr, H200 at $2.60/hr, No Commitment

GMI Cloud (NVIDIA Preferred Partner and Reference Architecture Provider) prices H100 at $2.00/hr and H200 at $2.60/hr on-demand with no minimum commitment and no bundle minimum for console access. Those rates sit below Nebius H100 on-demand ($3.85/hr) and H200 on-demand ($4.50/hr) without requiring a quota process or multi-month reserved commitment. GMI Cloud publishes these as standard on-demand rates available through the console directly - not introductory pricing.

GMI Cloud operates on owned data center hardware as an NVIDIA Preferred Partner. The platform is less well-known than Nebius by brand recognition - Nebius's Nasdaq listing, $25.8B market cap, and Microsoft/Meta anchor tenants give it enterprise credibility GMI Cloud does not match. For teams that are price-comparing on H100 and H200 on-demand rates and do not need EU data residency, GMI Cloud's published rates undercut Nebius without a sales process.

Best for: Teams comparing H100 and H200 on-demand rates where Nebius's $3.85/hr and $4.50/hr feel high and no EU residency is required. H100 at $2.00/hr and H200 at $2.60/hr with no commitment are the key numbers to verify before signing up.

3Hyperstack: GDPR-Compliant H100 from $1.90/hr in EU and Canada

Hyperstack (by NexGen Cloud) is the most direct Nebius alternative for teams that need EU data residency. It offers GDPR-compliant infrastructure in Norway, the UK, and Canada with H100 pricing from $1.90/hr - below Nebius's $3.85/hr on-demand rate on equivalent hardware, and significantly below Nebius's preemptible rate of $2.15/hr for on-demand access. For regulated EU teams that chose Nebius specifically for GDPR compliance and are unhappy with nebius pricing or quota constraints, Hyperstack serves the same data residency need at lower cost.

Hyperstack's catalog is narrower than Nebius's current-generation focus. It covers H100, H200, and A100 - no B200 or GB200. For teams scaling to Blackwell within a GDPR-compliant framework, Hyperstack does not yet cover that workload. Nebius's B200 at $7.15/hr on-demand (or $3.95/hr preemptible) is the only current-generation Blackwell option in the EU-resident neocloud space in August 2026.

Best for: EU-regulated teams currently on Nebius that want GDPR-compliant H100 at lower cost than Nebius on-demand. The direct like-for-like swap for teams where data residency is the constraint but nebius pricing is the frustration.

4JarvisLabs: H200 at $3.99/hr, Single GPU Access Without Node Minimum

Nebius HGX configurations require renting multi-GPU node slices - the minimum is not a single GPU on HGX SKUs. JarvisLabs offers single H200 GPU access at $3.99/hr, below Nebius's $4.50/hr, with per-minute billing and no node minimum. For teams running H200 experiments where renting a full 8-GPU node is wasteful, JarvisLabs' single-GPU H200 access at $3.99/hr is the most direct answer. Pre-built PyTorch and TensorFlow environments, managed Jupyter, VS Code on every instance - the notebook-first experience Nebius's console does not prioritise.

JarvisLabs does not offer InfiniBand multi-node clusters. For single-GPU or small multi-GPU H200 workloads (inference, evaluation, small fine-tuning runs), the single-GPU access model and per-minute billing make more sense than Nebius's HGX node structure. For large distributed training that needs non-blocking InfiniBand fabric, JarvisLabs is not the substitute.

Best for: Teams that need single H200 GPU access at below-Nebius rates with managed notebook environments and per-minute billing. The path for H200 access without a node minimum or quota process.

5Vast.ai: Cheapest H100 Spot Rates, No Egress, Marketplace Model

Vast.ai's peer-to-peer marketplace lists H100 spot from $1.55/hr and A100 spot from $0.67/hr - the lowest spot rates for those GPUs on this list. No egress fees, no contracts, Docker-based deployment. For teams running interruptible training jobs on H100 with checkpointing every 30-60 minutes, Vast.ai produces a lower total bill than Nebius preemptible H100 at $2.15/hr. The tradeoff is marketplace reliability: Vast.ai hosts are independent operators with variable uptime, network speed, and hardware condition. No SLA. For workloads that can tolerate host eviction with automatic restart, Vast.ai is the cheapest H100 path in August 2026. See the Vast.ai alternatives guide for when Vast.ai's marketplace model is worth the reliability tradeoff.

Best for: Cost-first teams running checkpointed training jobs on H100 or A100 that can tolerate host interruption. The lowest raw GPU spot rates on this list - no SLA, no data residency, no InfiniBand clusters.

When Nebius Is the Right Choice

The alternatives above beat Nebius on price for on-demand access. None of them replicate what Nebius does best: enterprise-grade InfiniBand HGX clusters with EU data residency, Blackwell access at scale, and the enterprise credibility of a Nasdaq-listed neocloud with Microsoft and Meta as customers. Stay on Nebius if your workload requires any of these:

Stay on Nebius AI Cloud

  • Multi-node HGX cluster training with full InfiniBand fabric
  • GDPR data residency in EU (Finland or Paris) is a hard requirement
  • Blackwell B200 or GB200 at scale - Nebius preemptible B200 at $3.95/hr is competitive
  • Enterprise SLA, Nasdaq-listed vendor, Microsoft/Meta-grade infrastructure
  • H100 at 99% 30-day availability - the most reliable H100 host tracked

Switch to an alternative

  • You need A100 80GB - Nebius does not offer it
  • Nebius H200 at 59% availability is blocking your training schedule
  • On-demand H100 at $3.85/hr is too expensive for your budget
  • Egress fees on object storage are adding up in your monthly bill
  • You need GPU access today without a quota process or sales engagement

Frequently asked questions

Nebius AI Cloud is an AI-focused GPU cloud provider headquartered in Amsterdam, Netherlands, and listed on Nasdaq (NBIS) with a $25.8B market cap as of August 2026. Spun out of Yandex in July 2024, Nebius operates HGX clusters with H100, H200, B200, and GB200 GPUs across EU data centers (Finland and Paris) with US expansion underway. Q2 2026 revenue was $582.3M (+454% YoY) with a $3B ARR run rate. Major customers include Microsoft and Meta.
Nebius AI Cloud GPU pricing from nebius.com/prices (August 2026): H100 HGX on-demand $3.85/hr, preemptible $2.15/hr. H200 HGX on-demand $4.50/hr, preemptible $2.45/hr. B200 HGX on-demand $7.15/hr, preemptible $3.95/hr. RTX PRO 6000 on-demand $1.80/hr, preemptible $0.95/hr. L40S from $1.55/hr on-demand. Storage egress $0.015/GiB. Reserved cluster discounts up to 35% for multi-month commitments.
Nebius AI Cloud operates data centers in Finland and Paris with EU data residency. For teams with GDPR requirements that need data processed and stored within the EU, Nebius is one of the few neoclouds with in-region EU infrastructure. The GDPR positioning is one of Nebius's primary differentiators versus US-headquartered neoclouds. If EU data residency is a hard requirement but Nebius's pricing or quota process is a constraint, Hyperstack (by NexGen Cloud) offers GDPR-compliant H100 in Norway and the UK from $1.90/hr.
No. Nebius AI Cloud's self-serve catalog in August 2026 covers H100, H200, B200, B300, L40S, and RTX PRO 6000. There is no A100 or older-generation GPU. Teams that need A100 80GB for cost-effective fine-tuning have no Nebius option. packet.ai A100 80GB at $1.43/hr is the direct alternative for A100-class VRAM at lower cost than Nebius's H100 on-demand rate of $3.85/hr.
Nebius offers a managed inference service alongside its GPU cloud. Inference is billed per-token on supported models. For teams that want managed LLM inference without managing GPU infrastructure, packet.ai Token Factory is an alternative: Llama 3.3 70B at $0.59/M tokens, Llama 3.1 8B at $0.06/M, OpenAI-compatible endpoint, no cold starts, no egress. For the full cost comparison between self-hosted GPU inference and managed inference APIs, see the LLM inference cost breakdown.
packet.ai and Nebius serve different workloads. Nebius excels at EU-resident InfiniBand HGX cluster training with enterprise SLA. packet.ai focuses on cost-efficient single-node and small multi-GPU workloads: A100 80GB at $1.43/hr (a GPU Nebius does not offer), RTX 6000 Pro at $0.66/hr versus Nebius RTX PRO 6000 at $1.80/hr, B200 at $3.75/hr with no quota process, and zero egress fees. For teams that need the cheapest A100 or RTX-class inference without Nebius's pricing or quota constraints, packet.ai is the switch. For multi-node EU training clusters, Nebius wins.

Last reviewed: August 26, 2026. Nebius AI Cloud GPU pricing from nebius.com/prices (August 2026). Nebius revenue and financial figures from MarkTechPost neocloud ranking (August 23, 2026) and Respan.ai alternatives page. Nebius H100 99% and H200 59% availability scores from GPU Finder 30-day tracking (August 2026). Nebius H100/H200 on-demand rates corroborated by Spheron CoreWeave vs Nebius guide (August 2026) and buildmvpfast.com Nebius analysis (March 2026). Hyperstack H100 from $1.90/hr from Spheron Nebius alternatives guide (March 2026). GMI Cloud H100 $2.00/hr and H200 $2.60/hr from GMI Cloud blog (May 2026). JarvisLabs H200 $3.99/hr from JarvisLabs H200 price guide (August 2026). Vast.ai spot rates from ecorpit.com (July 2026). SemiAnalysis ClusterMAX Nebius Gold tier from Spheron CoreWeave vs Nebius guide. packet.ai pricing from packet.ai pricing page (August 2026). GPU pricing changes frequently - verify on provider pages before committing. For the full GPU cloud comparison, see the 10 best GPU cloud providers for AI. For Vast.ai details, see the Vast.ai alternatives guide. For managed LLM inference costs, see the LLM inference cost breakdown. For the cheapest LLM APIs, see the cheapest LLM API providers guide.

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