Sign in to Hivenet
Glad to see you back!
Choose the service you’d like to sign in to.
Store & Contribute
Access your files and manage your contributions here.
Compute
Sign in to check on your Compute resources.
Quick note: Right now, each service has its own login. We’re working on a unified account to keep things easy for you!
New to Hivenet? Get Started
Get started with Hivenet
Welcome! Let’s help you find the right starting point. Choose the service that fits what you need, and we’ll get you set up.
Store & Contribute
Store your files and contribute resources to Hivenet’s community
Compute
Use Hivenet’s distributed GPU cloud for AI and HPC tasks
Note: Right now, our services need separate accounts. But we’re working on a unified login to make things simpler soon!
Already have an account? Sign in
Hivenet for business
Cloud compute and secure storage, with private AI services when you need them.
Compute
GPU cloud compute and scalable vCPU for production workloads, including AI training and inference, analytics, and data-heavy jobs.
Storage
Secure storage options for sensitive files and datasets, including S3-compatible object storage for application workflows.
Services
Private AI services and delivery support that help you move from a working demo to a working system.
Run GPU workloads and manage sensitive data with clear data residency choices, predictable pricing, and support that carries you from pilot to production.
Why teams choose Hivenet
Business rollouts usually break on cost volatility, data location constraints, and hard-to-audit access. Hivenet is designed to reduce those failure modes without turning your deployment into a science project.
Predictable performance
Run cloud compute that doesn’t fall apart when usage grows. You get consistent behavior across regions and clear ownership over how workloads run.
Cost transparency
Pricing should be understandable before you commit. Teams use Hivenet to avoid surprise bills and “success penalties” that show up when a pilot becomes production.
Data residency and control
If your data needs to stay in-region, that constraint should shape the deployment from day one. Hivenet supports data residency choices you can explain to security, audit, and procurement.
Results teams report with Hivenet
↓ 40–50%
Lower spend
Compared to typical public-cloud deployments for similar workloads
↓ 60–70%
Lower latency
When workloads run closer to data and users
*If you want numbers you can defend internally, we’ll do an ROI analysis using your workload profile before a pilot.
Cloud compute for business
Run GPU and vCPU workloads with performance you can plan around.
What teams use it for
·
GPU inference close to sensitive data
·
AI training runs with controlled data access
·
Batch analytics and large-scale processing
·
Internal tools that need reliable compute in-region
What you get
→
Dedicated compute options for predictable performance
→
Regional choices for latency and data residency
→
A clear path from pilot to production
Pricing that stays readable
Hivenet is built for predictable pricing at scale. If you need a workload-based forecast, we’ll model it with you.
Compute rates
RTX 4090
RTX 5090
vCPU
Per-second billing is available for GPU and vCPU workloads where supported.
Storage for business
Storage should match how your teams work, not force a rewrite.
File storage for shared team content
S3-compatible object storage for programmatic workflows and applications
Network storage for shared datasets across compute resources
High-performance NVMe storage for workloads that need high throughput and low latency
If you’re migrating, we’ll start with access patterns (how data is read and written) and work backward to the right storage setup.
Private AI services for enterprise use
AI is useful when it respects your boundaries. Hivenet supports private AI services so teams can deploy models without sending sensitive data to public AI services by default.
LLM hosting and model serving
Deploy open-source language models on dedicated resources with controlled data access.
Common approaches
·
Private deployment for sensitive data and regulated workflows
·
Restricted data access modes (start tight, loosen later if policy allows)
·
Dedicated environments to reduce cross-tenant risk
Private assistants for internal work
Build internal assistants for retrieval, summarization, and decision support using your organization’s information, with controls that match enterprise expectations.
Delivery support that gets you to production
→
Model selection and optimization
→
Data preparation and training workflows
→
Application development (internal chat, search, and custom AI apps)
→
Rollout planning and operating guidance
Security and privacy that survive a real review
Hivenet is designed around practical controls: isolate environments, reduce unnecessary exposure, and make access auditable.
What we aim to provide
·
Isolation by default, with clear boundaries between organizations
·
Encryption in transit and at rest
·
Least-privilege access patterns for teams
·
Audit-friendly logging and reporting where required
·
Customer-controlled data use: your data should not become someone else’s training material
If you need deeper detail, ask for the security packet. We’ll share documentation and work through your questionnaire in the format your org expects.
Built for regulated environments
Regulated industries tend to share the same constraints: data residency, auditability, and tight access control.
Teams commonly use Hivenet in:
Financial services
Healthcare
Government and public sector
Legal and compliance-heavy organizations
If you’re regulated, you won’t be the first team asking hard questions. That’s a good sign.
How we engage
Enterprise adoption works better when the process is explicit.
Technical consultation
We align on requirements, constraints, and success criteria.
ROI analysis
We model costs and expected performance based on your workloads.
Pilot
A scoped proof-of-concept with defined success criteria.
Production rollout
A controlled deployment with ongoing support.
If you already know what you need, we can compress steps. If security review comes first, we’ll start there.
Enterprise-level support
Teams need response and accountability, not best-effort support.
Support typically includes:
·
Clear service targets aligned to your environment
·
Premium support options, including 24/7 coverage where needed
·
Named account ownership
·
Regular reviews and performance checks
Procurement-ready
We can support security and procurement workflows without friction.
On request:
·
Security documentation packet
·
DPA and privacy materials
·
Subprocessor information
·
Contracting and invoicing options
·
A pilot plan with success criteria
FAQ
Do you have any questions?
