Overview
Huddle01 Cloud is a high-performance cloud infrastructure platform built for developers, AI teams, and startups who need enterprise-grade compute without enterprise-grade pricing. The platform delivers bare-metal performance with the ease of cloud deployment, targeting workloads that require speed, control, and predictable costs.
At its core, Huddle01 Cloud runs on AMD EPYC processors with NVMe storage and 10 Gbps dedicated bandwidth — the same distributed infrastructure that powers Huddle01's real-time communication stack. This architecture enables sub-100ms latency across Asia, Europe, and North America, making it suitable for AI inference, real-time media, gaming backends, and containerized applications.
The platform is positioned as a direct alternative to AWS, Azure, and GCP, offering up to 70% cost reduction with no hidden egress fees, no control plane surcharges, and per-second billing transparency. Eligible new accounts signing up with a work email receive $250 in cloud credits to explore the platform before standard billing begins.
Key Features
Virtual Machines (Anton Series) — Six pre-configured VM sizes from 2vCPU/4GB to 64vCPU/128GB, each backed by dedicated AMD EPYC cores, NVMe storage, and 10 Gbps unmetered bandwidth. Deployable in seconds across multiple regions, eliminating the shared-resource unpredictability common on major cloud platforms.
AI Inference API — Access to 25+ leading language models — including GPT-4.1, Claude Sonnet 4.6, Gemini 2.5 Pro, DeepSeek-R1, and Llama 4 — through a single unified API endpoint. Token-based pricing starts at $0.10 per 1M input tokens, making it a cost-effective layer for AI agent applications and LLM-powered backends.
Managed Kubernetes — Production-ready K8s clusters with no hidden control plane fees. Kubernetes pricing mirrors VM rates exactly, with horizontal auto-scaling, dedicated master nodes, and per-node-per-hour billing so you only pay for active compute.
Managed Docker Containers — Serverless-style container hosting billed purely on vCPU ($0.0084/vCPU/hr) and RAM ($0.00402/GB/hr) consumption. No platform fees or cluster overhead; push an image and deploy.
NVMe Block Storage — High-performance volumes at $0.0000834/GB/hour that can be attached, detached, and resized without downtime. Snapshot support is included, making it straightforward to back up stateful workloads.
Load Balancers with SSL Termination — Two load balancer tiers (Anton-2-lb at $0.0492/hr and Anton-4-lb at $0.084/hr) with health checks, traffic distribution, and free SSL/TLS certificate management. No additional certificate fees.
Pricing & Plans
Huddle01 Cloud uses transparent pay-as-you-go pricing with no long-term contracts. New accounts receive $250 in free credits.
Virtual Machines
| Instance | vCPU | RAM | Hourly Rate | Est. Monthly |
|---|---|---|---|---|
| Anton-2 | 2 | 4 GB | $0.031 | ~$22.89 |
| Anton-4 | 4 | 8 GB | $0.055 | ~$40.15 |
| Anton-8 | 8 | 16 GB | $0.102 | ~$74.88 |
| Anton-16 | 16 | 32 GB | $0.198 | ~$145.44 |
| Anton-32 | 32 | 64 GB | $0.387 | ~$284.07 |
| Anton-64 | 64 | 128 GB | $0.768 | ~$563.93 |
Other Services
| Service | Rate |
|---|---|
| Block Storage | $0.0000834/GB/hr (~$0.04/day for 20 GB) |
| Load Balancer (Anton-2-lb) | $0.0492/hr |
| Load Balancer (Anton-4-lb) | $0.084/hr |
| Docker — vCPU | $0.0084/vCPU/hr |
| Docker — RAM | $0.00402/GB/hr |
| Bandwidth | 10 Gbps unmetered, billed by capacity |
| AI Inference | From $0.10/1M tokens (GPT-4.1-Nano) |
Huddle01 markets transparent per-second billing, while its public pricing tables are primarily shown hourly and monthly estimates are used for planning. There are no egress fees, no control plane charges for Kubernetes, and no markup on bandwidth.
Best For
- Startups and indie developers migrating away from AWS or GCP to reduce infrastructure costs without changing code
- AI teams running inference workloads at scale who need access to multiple frontier models through one API
- DevOps engineers managing Kubernetes clusters who want predictable billing with no control plane fees
- Real-time application builders (gaming backends, video platforms, robotics) that require sub-100ms latency and 10 Gbps throughput
- Teams building voice AI infrastructure or agent pipelines that depend on low-latency compute and LLM APIs
FAQ
Is there a free tier on Huddle01 Cloud?
There is no permanent free tier. New accounts receive a $250 credit upon signup, which can be applied to any service — VMs, Kubernetes, Docker containers, storage, or AI inference. Once the credit is exhausted, billing begins at standard pay-as-you-go rates.
How does Huddle01 Cloud compare to AWS in pricing?
Huddle01 Cloud prices VMs up to 70% lower than equivalent AWS EC2 instances. For example, Huddle01's official comparison pages use an 8vCPU/32GB/480GB example bundle at about $73.34/month versus $318.77/month on AWS, which is separate from the six standard Anton presets shown on the main pricing page. Kubernetes pricing is also simpler: AWS EKS charges an additional $0.10/hr cluster management fee on top of node costs, while Huddle01 Cloud charges only the node rate with no hidden control plane fee.
What AI models are available through the inference API?
The HUDL AI Inference service offers 25+ models including GPT-5.4, GPT-4.1, GPT-4.1-Mini, Claude Opus 4.6, Claude Sonnet 4.6, Gemini 3.1 Pro, Gemini 2.5 Flash, DeepSeek-R1, Llama 4 Maverick, Grok 4.1 Fast, Mistral Large, and more. Pricing is per-token and varies by model.
Can I deploy an AI agent on Huddle01 Cloud?
Yes. Huddle01 Cloud offers a dedicated AI Agent deployment path (Openclaw) that lets you spin up an autonomous agent on enterprise hardware within 60 seconds — no CLI setup or API key management required. The platform also supports custom AI agent stacks on VMs or Docker containers.
What regions does Huddle01 Cloud operate in?
Huddle01 Cloud currently operates across Asia (including India with DPDPA compliance), Europe, and North America. The infrastructure runs on the same distributed global edge network that powers Huddle01's real-time communication products.
Is bandwidth included in VM pricing?
Yes. All VM instances include 10 Gbps dedicated, unmetered bandwidth billed by assigned capacity rather than data usage. There are no egress fees or per-GB transfer charges, which is a significant cost advantage over AWS and Azure where outbound data transfer can add hundreds of dollars to monthly bills.
What hardware powers Huddle01 Cloud?
VMs run on AMD EPYC 7409, 7443, or 7543 processors (7nm, up to 3.7 GHz) with DDR4 ECC registered RAM and NVMe SSD storage. Dedicated vCPUs mean your workload is not competing with other tenants for CPU time.
How does billing work?
Billing is per-second with real-time transparency. The console provides monthly estimates for consistent planning. Payment is charged to a credit card on file; cards are not charged until the initial $250 credit is consumed. Credit card details can be entered without incurring charges.
Does Huddle01 Cloud support the A2A protocol for multi-agent systems?
Huddle01's public documentation does not currently mention native A2A protocol support. Teams that need A2A-style multi-agent orchestration should verify compatibility directly with Huddle01.
What support options are available?
Huddle01 Cloud offers support through its console and documentation portal. Public materials show documentation, dashboard help surfaces, community chat, and sales contact options, but detailed support tiers are not clearly documented.
