GPU Neoclouds Ranked for 2026: CoreWeave, Nebius, Lambda, Crusoe, and Groq
CoreWeave, Nebius, Lambda, Crusoe, and Groq compared on 2026 published GPU pricing, contracted power, hardware roadmap, and independent quality ratings.
Five companies now compete under the "neocloud" label, each with a distinct business model and pricing structure. CoreWeave and Nebius are public companies filing with the SEC; Lambda and Crusoe are private and heading toward IPOs; Groq relaunched as a pure inference-cloud business after licensing its LPU chip technology to NVIDIA in December 2025. A new comparison published by Marktechpost ranks all five on published pricing, deployed and contracted power, hardware roadmap, contract terms, and independent SemiAnalysis ClusterMAX 2.0 quality ratings.
What happened
| Provider | Key fact |
|---|---|
| CoreWeave | Only Platinum rating in SemiAnalysis ClusterMAX 2.0; premium list pricing on H100, H200, B200 |
| Nebius | Only provider with published on-demand B300 pricing; files as a foreign private issuer (Form 6-K) |
| Lambda | Lowest published on-demand B200 rate: $6.69 per GPU-hour; no spot tier available |
| Crusoe | Only provider with AMD MI300X and MI355X on its public rate card |
| Groq | Licensed LPU architecture to NVIDIA (December 2025); now an NVIDIA Cloud Partner adding GPU capacity alongside LPU inference |
The comparison, published by Marktechpost on 21 August 2026, evaluates each provider on five dimensions: published pricing, deployed and contracted power capacity, hardware roadmap, contract structure, and third-party quality scores. The SemiAnalysis ClusterMAX 2.0 rating system is an independent benchmark that scores GPU cloud providers on cluster quality, networking, and reliability.
How the five providers actually differ
CoreWeave: the premium tier
CoreWeave is a public company, reporting results on Form 10-Q each quarter. Its Platinum rating from SemiAnalysis is the highest in the ClusterMAX 2.0 system, and its list prices for H100, H200, and B200 reflect that positioning. Buyers pay more, but the independent quality score suggests they get a more consistent cluster.
Nebius: the B300 early mover
Nebius, also public and filing Form 6-K as a foreign private issuer, is the only provider in this group with a published on-demand price for the B300 GPU. Being first to publish a rate card for next-generation hardware is a meaningful signal for teams planning workloads around NVIDIA’s newest silicon.
Lambda: cheapest B200 on-demand
Lambda’s $6.69 per GPU-hour B200 rate is the lowest published on-demand price among these five providers. The caveat: Lambda offers no spot tier, so workloads that could tolerate interruption in exchange for lower cost have no path to savings here. Lambda is privately held and working toward an IPO.
Crusoe: the AMD option
Crusoe is the only neocloud in this group with AMD MI300X and MI355X on its public rate card. For teams whose software stack runs well on AMD ROCm (the open-source GPU compute platform), or who want to diversify away from NVIDIA supply constraints, Crusoe is currently the only listed option here. Crusoe is also private and pre-IPO.
Groq: from chip maker to inference cloud
Groq has operated GroqCloud on its LPU (language processing unit, a purpose-built inference chip) architecture since 2024. After licensing that LPU technology to NVIDIA in December 2025, the standalone Groq company pivoted entirely to inference-cloud infrastructure. It is now an NVIDIA Cloud Partner and plans to add NVIDIA GPU capacity alongside its existing LPU service.
Why it matters for businesses buying GPU compute
The neocloud market is fragmenting by specialization rather than converging. No single provider wins across every dimension, which means the right choice depends almost entirely on your workload type, your tolerance for contract risk, and whether you need spot pricing or AMD hardware.
Teams building AI integrations that require large, sustained GPU reservations should pay close attention to contracted power figures, not just list prices. A low per-hour rate means little if capacity is unavailable when you need it.
For context on how neocloud pricing compares to hyperscalers like AWS, Azure, and Google Cloud, watch the contracted power numbers as these five providers file quarterly results or IPO prospectuses. CoreWeave’s 10-Q filings and Nebius’s 6-K filings are the most transparent data sources currently available in the group.
Our take
The framing of “which neocloud is best” is the wrong question for most buyers. The better question is which provider covers your specific GPU model, contract length, and geographic requirement at a price that makes your unit economics work.
CoreWeave’s Platinum ClusterMAX rating matters if you are running jobs that fail badly on flaky clusters. For pure price sensitivity on B200 on-demand, Lambda’s $6.69 rate is the number to beat right now. If your team has already built on AMD ROCm, Crusoe is worth a serious look because no one else in this group lists MI300X or MI355X at all.
Groq’s pivot is the most interesting long-term story here. Licensing your core chip IP to NVIDIA and then becoming an NVIDIA Cloud Partner is an unusual strategic move, and how that plays out for GroqCloud customers over the next 12 months deserves attention. Keep an eye on our AI news coverage as these IPOs and quarterly filings land.
If you are evaluating GPU cloud spend as part of a broader AI build, the pricing comparison above is a useful starting point, but total cost of ownership also includes egress fees, support SLAs, and the engineering time to migrate if a provider underperforms.
What to do about it
- Identify your primary GPU model requirement (H100, H200, B200, B300, or AMD MI300X/MI355X) before comparing providers, since not all five list all hardware.
- Check whether you need spot pricing. If yes, Lambda is currently off the table; evaluate CoreWeave, Nebius, or Crusoe instead.
- Pull the actual published rate cards directly from each provider’s website. List prices change frequently and any third-party comparison (including this one) can lag.
- If workload reliability matters, weight the SemiAnalysis ClusterMAX 2.0 rating alongside price. CoreWeave’s Platinum score is the only one in this tier.
- Monitor Groq’s NVIDIA GPU rollout timeline if low-latency inference is your priority workload. The LPU-to-GPU transition could affect service continuity.
The cheapest list price rarely stays cheapest once you factor in spot unavailability, egress, and the engineering cost of a forced migration.
Frequently asked questions
Which GPU neocloud has the lowest B200 on-demand price in 2026?
Lambda publishes the lowest on-demand B200 rate among the five major neoclouds at $6.69 per GPU-hour, but it does not offer a spot tier for further savings.
What is SemiAnalysis ClusterMAX 2.0?
SemiAnalysis ClusterMAX 2.0 is an independent rating system that scores GPU cloud providers on cluster quality, networking, and reliability. CoreWeave is the only provider in the neocloud group to hold a Platinum rating.
Which neocloud supports AMD GPUs like the MI300X?
Crusoe is currently the only neocloud in this comparison group with AMD MI300X and MI355X listed on its public rate card.
What happened to Groq after it licensed its LPU to NVIDIA?
After licensing its LPU (language processing unit) chip technology to NVIDIA in December 2025, Groq refocused entirely on inference-cloud infrastructure and became an NVIDIA Cloud Partner, with plans to add NVIDIA GPU capacity alongside its existing LPU service.
