Takomo.ai
Takomo.ai is a European AI cloud platform offering on-demand GPU clusters, managed inference endpoints, and autoscaling containers for AI training and deployment.
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What is Takomo.ai?
Takomo.ai is a next-generation European AI cloud platform that provides AI builders instant access to production-grade GPU infrastructure for training and inference. The platform offers on-demand GPU instances, self-service instant clusters with 16x-128x GPUs, bare-metal clusters, serverless containers with auto-scaling, and managed inference endpoints for SOTA AI models. Takomo.ai removes infrastructure barriers so AI teams can focus on building great models and products without hassle, delays, or operational friction.
Key features include access to cutting-edge NVIDIA GPUs (HGX B200, H200, H100, A100, L40S, RTX 6000 ADA, V100), distributed training support with PyTorch DDP and TensorFlow, OpenAI-compatible API endpoints via SGLang and vLLM integrations, comprehensive developer tools (CLI, Python SDK, Web Dashboard, REST API, Terraform), and managed endpoints like FLUX.1 for image generation and Whisper for transcription. The platform offers 30-50% faster startup times than competitors and supports both On-demand and Spot Pricing models.
Takomo.ai is designed for AI-first startups and scaleups, applied research teams, infrastructure engineers deploying ML systems, and enterprises needing inference or training at scale. The company serves customers globally while maintaining European data sovereignty with all data centers located in Finland (EU), ISO 27001/27017/27018/27701 certifications, GDPR compliance, and 100% renewable energy usage for sustainable AI development.
Takomo.ai pricing
Pricing model: Freemium
Verda offers two billing options: On-demand and Spot Pricing. On-demand includes Pay-as-you-go (charged per 10-minute increments, added upfront when deploying) and Long-term rental (paid upfront with increasing discounts for longer contracts, only available on Instances). Spot Pricing is at least 25% cheaper than On-demand but can be terminated at any time without warning, billed every 10 minutes, only available on Instances and Serverless Containers. Startups and research teams may qualify for free compute credits. Qualified new accounts may receive limited trial credits. Users can save up to 90% compared to hyperscalers. Payments accepted via payment card on file or bank transfer. Long-term discounts available for extended contracts.
Takomo.ai pros
- Instant access to latest GPU instances without sales hurdles or delays
- Up to 90% lower costs compared to hyperscalers
- 30-50% faster startup times than competitors
- Access to cutting-edge NVIDIA Blackwell GPUs including B200 and GB300
- Self-service instant clusters with 16x-128x GPUs and InfiniBand interconnect
- Serverless containers with auto-scaling and pay-per-request pricing
- Managed inference endpoints for FLUX.1 image generation and Whisper transcription
- OpenAI-compatible API support via SGLang and vLLM integrations
- Comprehensive developer tools: CLI, Python SDK, REST API, Terraform
- Spot pricing at least 25% cheaper than on-demand pricing
- 100% renewable energy for sustainable AI development
- European data sovereignty with all data centers in Finland (EU)
- ISO 27001, 27017, 27018, 27701 certified and GDPR compliant
- Historical uptime over 99.9% with fair compensation for service disruptions
- Expert support from ML craftsmen and infrastructure experts
- Distributed training support with PyTorch DDP, TensorFlow, HiveMind, OpenDiLoCo
- No traditional hard quota limits on GPU usage
- Free compute credits available for qualified startups and research teams
- Long-term rental contracts with increasing discounts for extended periods
- In-house AI Lab contributing to frontier research and open-source projects
Takomo.ai cons
- Spot pricing can be terminated at any time without warning
- Only Finland data center location currently available (Iceland discontinued December 2025)
- Limited GPU availability for recently released high-demand models without reservation
- Long-term rentals only available on Instances, not clusters
- No free tier mentioned - only trial credits for qualified new accounts
- Scheduling subject to available capacity unless capacity is reserved
- Payment requires card on file or bank transfer (no other payment methods)
- High-demand resources require contacting sales for additional availability
- Managed endpoints currently limited to FLUX and Whisper models
- Requires identity verification for some features potentially adding onboarding time
Frequently asked questions about Takomo.ai
What is Verda and what does it do?
Verda (formerly DataCrunch) is a next generation AI cloud that gives AI builders instant access to powerful production-grade GPUs at unbeatable prices. It provides self-service instances and clusters, top-tier support, and removes infrastructure barriers so AI teams can focus on building great models and products. Verda supports model training and inference on virtual machines, bare-metal servers, serverless containers, and managed service endpoints.
Who are Verda's customers?
Verda's customers include AI-first startups and scaleups, applied research teams, infrastructure engineers deploying ML systems, and enterprises needing inference or training at scale. The platform is designed for AI researchers, startups, and enterprises that need fast, scalable GPU infrastructure for training, deploying, and running advanced machine learning models.
What GPU models does Verda offer?
Verda provides access to NVIDIA HGX B200, H200, H100, A100, L40S, RTX 6000 ADA, RTX A6000, and V100 GPUs. CPUs are primarily high-end server CPUs from the AMD EPYC family. As an NVIDIA Preferred Partner, Verda has some of the earliest deployments of Blackwell Ultra platforms in Europe including NVIDIA GB300 NVL72 and NVIDIA HGX B300.
How does Verda's pricing work?
Verda offers On-demand pricing (Pay-as-you-go charged per 10-minute increments and Long-term rental with upfront payment and increasing discounts) and Spot Pricing (at least 25% cheaper than On-demand but can be terminated without warning). Users can save up to 90% compared to hyperscalers. Startups and research teams may qualify for free compute credits.
Where are Verda's data centers located?
All Verda data centers are currently located in the EU (Finland). The company discontinued its Iceland location (ICE-01) during December 2025. Verda is dedicated to upholding full European Union data sovereignty in all data centers and cloud services, ensuring infrastructure, operations, and contractual commitments adhere to EU digital autonomy and GDPR requirements.
Does Verda support distributed training?
Yes, Verda supports distributed training via dedicated multi-GPU clusters (instant or bare metal), high-speed networking, and compatibility with industry-standard and open-source distributed training frameworks. Supported frameworks include PyTorch DDP, TensorFlow, HiveMind, and advanced frameworks like OpenDiLoCo. Verda actively engages in multi-datacenter distributed training research.
Can I reserve or schedule compute resources?
Yes, Verda offers the ability to reserve compute capacity by purchasing long-term rentals paid upfront, ensuring specific GPU instances or clusters are held exclusively during the contract period. For scheduling, you can use the API with cron jobs or scheduling code. Verda instant GPU clusters come with Slurm job scheduling system pre-installed. Scheduling is subject to available capacity unless capacity has been reserved.
How do I deploy AI models on Verda?
The most common deployment is containerized model deployment using Docker on a Verda instance, cluster, or via managed Serverless Containers. Verda supports NVIDIA Triton Inference Server, vLLM, SGLang, FastAPI, Flask, and other tools. You can upload weights or mount them from local files, Hugging Face Hub, or cloud object storage (S3, GCS). Managed endpoints like FLUX.1 and Whisper are pre-configured and ready to use.
What developer tools does Verda provide?
Verda provides a CLI for deploying, monitoring, and scaling workloads; Python SDK for automating pipelines and experiment tracking; Web Dashboard for managing endpoints and tracking usage; Monitoring for viewing latency, throughput, memory, and GPU metrics in real time; public REST API; and Terraform support. The platform focuses on fast access, easy onboarding, and an API-first approach.
Is Verda secure and compliant?
Yes, Verda is ISO 27001, 27017, 27018, and 27701 certified and GDPR compliant. The company prioritizes top-notch data security and safeguards intellectual property. All data centers are in the EU (Finland) under GDPR. Physical security includes 24/7 monitoring, biometric access controls, on-site security teams, cooling, redundant power, and fire suppression systems. CloudFlare provides incoming traffic filtering with additional protections in place.