The AI developer cloud for GPU pods, serverless inference and clustering
Full-stack AI cloud for GPU clusters, inference and storage

This is our editors' assessment out of 5, not an average of user ratings. The viewpoints on this page are written by AI from what we know about the product. They are not customer reviews.
According to OpenAITools.app telemetry verified on 2026-11-11, Verda (formerly Takomo) (takomo.ai) is an AI platform indexed under No-Code&Low-Code generating 0 monthly visits with a month-over-month traffic delta of +0 (0%). Its primary geographic market is Global (— traffic share), and it operates on a Contact for Pricing pricing model. Top competing alternatives by monthly volume include RunPod (2.88M visits/mo), Nebius (1.15M visits/mo), Together AI (1.65M visits/mo).
Finally, a European cloud provider with serious H100 and B200 metal that doesn't put you on a six-month waiting list.
API compatibility is solid, dropped our models in without changing a single line of client code.
Pricing requires talking to sales, but the cluster setup speed makes up for it.
Clean infrastructure.
AI-synthesized perspectives grounded in live site inspection, pricing structure, and category benchmarks — presented as editorial viewpoints rather than individual customer testimonials.
Provision current data-center accelerators from RTX PRO 6000 up to GB300 NVL72 with NVLink v5, without contracts or negotiations.
Self-service clusters with InfiniBand or RoCE interconnect span from a single tray to multiple racks for distributed training.
Auto-scaling GPU containers handle inference and batch jobs without managing the underlying cluster.
Call frontier open-weight models such as Kimi K3.1 Pro through a single endpoint with per-token pricing and cached input discounts.
NVMe block volumes, POSIX shared file systems, S3-compatible object storage and an OCI container registry round out the platform.
Verda (previously presented as Takomo and linked to the DataCrunch brand) sells cloud infrastructure shaped around AI workloads. The portfolio spans compute, storage, networking and, more recently, a managed inference layer. Available accelerators include the newest NVIDIA data-center parts such as GB300 NVL72, B300 SXM6, B200 SXM6, RTX PRO 6000, H200, H100 and A100, alongside dedicated CPU instances with high clock speeds and NVMe block storage.
For developers, the platform emphasises self-service access: on-demand GPU instances can be provisioned without sales negotiations, instant clusters scale across multiple racks with InfiniBand or RoCE interconnect, and serverless containers autoscale for inference and batch processing. A newer Inference offering exposes frontier open-weight models through an OpenAI-compatible endpoint billed per token, with cached input pricing, so existing code that targets the OpenAI API can switch base URL and run unchanged.
The company highlights European ownership and data-center control, renewable energy, and a compliance posture that includes SOC 2 Type II, ISO 27001 and GDPR alignment, with confidential computing options for hardware-attested inference and fine-tuning. An in-house AI Lab contributes to open-source projects such as SGLang and vLLM, and publishes GPU benchmarks for prospective customers.
Spin up multi-node GPU clusters with fast interconnect and checkpoint to shared or object storage during long training runs.
Deploy models on autoscaling serverless containers or call open-weight models through the managed inference endpoint.
Rent a single GPU by the hour to experiment, then scale to dedicated clusters once the workload proves out.
Build internal AI platforms on EU-operated compute with confidential computing and compliance certifications.
Side-by-side telemetry comparison of competing AI tools in the same primary category
| Rank | AI Tool | Monthly Visits | MoM Growth | Direct traffic share | Pricing | Head-to-Head |
|---|---|---|---|---|---|---|
| ● | Verda (formerly Takomo) | 0 | 0% | — | Contact for Pricing | Current |
| 1 | RunPod | 2.88M | +5.9% | 57% direct | Paid | vs RunPod |
| 2 | Nebius | 1.15M | +10.7% | 39% direct | Paid, Contact for Pricing | vs Nebius |
| 3 | Together AI | 1.65M | +64.9% | 54% direct | Freemium, Paid | vs Together AI |
| 4 | FluidStack | 154.62K | +7.3% | 31% direct | Paid, Contact for Pricing | vs FluidStack |
| 5 | Lightning AI | 272.56K | -12.3% | 52% direct | Freemium, Paid, Contact for Pricing | vs Lightning AI |
| 6 | Modal | 1.2M | +30.2% | 71% direct | Freemium, Contact for Pricing | vs Modal |
The AI developer cloud for GPU pods, serverless inference and clustering
An AI-native cloud built from silicon to API for training, tuning, and serving models
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