The Complete AI Operations Control Plane
Deploy 500+ AI models, fine-tune LLMs on your data, run inference at scale, and manage your entire AI lifecycle, all from a single, self-serve, API-first platform. Serverless, on-demand, or reserved, with GPU monitoring, cost attribution, and team management built in.
500+
AI Solutions
11
Microservices
6
GPU Types
3
Deploy Modes
Active Deployments
23
+5 this week
Inference (24h)
847K
↑ 18% vs yesterday
Fine-Tune Jobs
4
2 training
Cost (MTD)
$4,280
Budget: $8,000
Platform Capabilities
Everything in One Platform
Deploy Models in Seconds
Three deployment modes, each optimized for different workloads, budgets, and scale requirements.
Serverless Inference
Auto-scaling from zero. No idle costs. Built-in load balancing, failover, and per-request billing. Cold start < 30 seconds.
On-Demand Instances
Dedicated GPU resources with full root access. Choose GPU type (A10G → H100), vCPUs, RAM, and storage. Pause/resume for cost control.
Reserved Clusters
1-year or 3-year commitments for up to 32% savings. Multi-node InfiniBand clusters with dedicated networking and priority support.
API-First Architecture
Everything is an API Call
Yobibyte is built API-first on 11 microservices. Every operation (deploy, fine-tune, monitor, manage) is available through our REST API, Python SDK, or dashboard.
Platform Architecture
from yobibyte import Client
client = Client(api_key="yb_live_...")
# Deploy serverless inference
endpoint = client.deploy(
model="meta-llama/Llama-3.1-70B",
mode="serverless",
gpu="h100",
min_replicas=0,
max_replicas=10,
)
# Fine-tune on your data
job = client.finetune.create(
base_model="mistral-7b",
dataset="s3://my-bucket/training-data.jsonl",
method="lora",
lora_rank=16,
epochs=3,
learning_rate=2e-4,
)
# Monitor & deploy result
job.wait() # streams progress
client.deploy(model=job.output_model_id)Infrastructure
Powered by World-Class GPUs
Every deployment runs on NVIDIA and AMD accelerators with InfiniBand or RoCE interconnect, liquid cooling, and high-availability multi-AZ architecture. Vendor-neutral by design: pick the right silicon for your workload, from cost-effective inference to frontier model training.
Frontier model training
From $9.00/hr
Multi-node training
From $6.20/hr
Memory-rich LLM serving
From $4.20/hr
Large model inference
From $4.80/hr
Production AI
From $3.50/hr
Training & inference
From $2.10/hr
Balanced inference
From $0.90/hr
Entry-level inference
From $0.80/hr
Budget inference
From $0.50/hr
Enterprise Security
Built for Teams That Take Security Seriously
Yobibyte is designed for enterprise AI workloads, with multi-layer authentication, tenant isolation, audit logging, and compliance controls baked into every layer.
Authentication
Single sign-on with automatic session refresh, OAuth, two-factor authentication, and account lockout with escalating timeouts.
Authorization
Role-based access control with Owner/Admin/Member roles. Per-org quotas, deployment permissions, and billing controls.
Data Protection
Encryption at rest (AES-256) and in transit (TLS 1.3). No cross-tenant data access. Per-deployment secrets management.
Resilience
Circuit breaker pattern, sliding-window rate limiting, connection pooling, and automatic retry with exponential backoff.
Audit Trail
Every action logged: deployments, API calls, configuration changes, team member invitations, and billing events.
Compliance & Certifications
EU/UK data residency options
Annual third-party audits
India data protection
Information security
Microservices Architecture
Built on Yobibyte
AI Applications in Production Today
Real AI applications deployed, fine-tuned, and scaled on Yobibyte, across healthcare, agriculture, sales, and more.
Team Management
Built for Teams, Not Individuals
Multi-organization support with role-based access control. Invite team members, assign permissions, track usage per team, and manage billing centrally.
Organizations
Create multiple organizations with isolated resources, billing, and team members. Switch between orgs seamlessly.
Role-Based Access
Three permission levels: Owner (full control), Admin (manage resources), Member (deploy and view). Granular per-action permissions.
Team Invitations
Invite team members via email with pre-assigned roles. Pending invitation tracking and bulk invite support.
Usage Quotas
Set per-org and per-user resource limits: GPU hours, deployment count, API calls, and storage. Automatic enforcement.
Billing Separation
Each organization has its own wallet, billing history, and spend analysis. Cost attribution per deployment and per team member.
Permission Matrix
Cost Management
Full Visibility Into Every Dollar Spent
Pre-funded Wallet
Pre-funded wallet with secure card payments. Add credits instantly, track balance in real-time, and set up auto-recharge with configurable thresholds.
Spend Analytics
Daily, weekly, and monthly breakdowns. Per-deployment cost attribution. Export to CSV for finance team reconciliation.
Cost Alerts
Set spending thresholds and receive notifications before you exceed budget. Per-org and per-deployment alert rules.
Usage Metering
Per-request token counting, compute hour tracking, and storage metering. Transparent pricing with no hidden costs.
Ecosystem
Connects to Everything You Use
Model Providers
ML Frameworks
Serving Engines
Cloud Providers
Orchestration
Developer Tools
Built For
Every Team, Every Scale
Startups & Builders
Go from idea to production inference in minutes. Scale as you grow, with no infrastructure expertise needed.
- Free to sign up
- One-click deploy
- Auto-scaling
- Pay-per-use
Enterprise AI Teams
Centralize your AI operations. Multi-team management, compliance controls, cost attribution, and SLA guarantees.
- Multi-org RBAC
- SOC 2 compliant
- Spend controls
- Priority support
ML Engineers & Researchers
Fine-tune models, run experiments, compare GPU performance, and iterate fast with managed infrastructure and tooling.
- LoRA/QLoRA fine-tune
- Experiment tracking
- GPU benchmarks
- SDK & API
Yobibyte Observability
See everything. Fix automatically.
Full-stack observability from GPU silicon to application endpoints, with AI-driven root cause analysis and self-healing remediation built in. MTTR reduced by up to 90%.
Metrics Collection
High-resolution metrics with custom GPU exporters for utilisation, temperature, memory, and power.
Log Aggregation
Centralised logging with structured parsing and intelligent log correlation across services.
Distributed Tracing
End-to-end request tracing across inference pipelines and microservices.
Automated Remediation
Self-healing runbooks that detect anomalies and execute corrective actions without human intervention.
AI SRE Agent
ML-driven anomaly detection that learns baseline patterns and predicts failures before they occur.
Smart Alerting
Context-aware alerts with deduplication, escalation policies, and noise reduction via correlation.
Unified Dashboards
Pre-built dashboards for GPU clusters, orchestration, networking, and application performance.
Incident Management
Automated incident creation, on-call routing, post-mortem generation, and SLA tracking.
Yobibyte Automation
Eliminate manual toil. Ship 10x faster.
Infrastructure-as-Code, GitOps, and end-to-end CI/CD baked into Yobibyte. Teams deploy 10x more frequently with 50% fewer incidents.
Infrastructure as Code
Declarative infrastructure provisioning across cloud, bare metal, and hybrid environments with full state management.
Configuration Automation
Configuration management, application deployment, and orchestration with idempotent, repeatable runs.
GitOps Delivery
Git-driven continuous delivery with automated sync, health checks, and progressive rollouts.
Pipeline Automation
End-to-end CI/CD pipelines for build, test, security scan, and deploy across all environments.
Drift Detection
Continuous compliance monitoring that detects and auto-corrects infrastructure configuration drift.
Template Library
Pre-built IaC modules for GPU clusters, networking, storage, and security configurations.
Secrets Management
Policy-based secrets rotation, dynamic credentials, and encrypted variable management.
Workflow Engine
Visual workflow builder for multi-step automation with approvals, notifications, and audit trails.
FAQ
Frequently asked questions
What is Yobibyte?
Yobibyte is a fully-managed, AI-native platform for deploying, fine-tuning, and running AI models in production. From one self-serve, API-first control plane you deploy from a catalogue of 500+ models, fine-tune on your own data, serve inference at scale, and manage the full lifecycle: teams, API keys, billing, observability, and automated remediation.
How is Yobibyte different from Lambda, Baseten, or Modal?
Those platforms are strong at a single layer. Yobibyte covers the whole lifecycle in one control plane: model catalogue, fine-tuning, serverless and dedicated inference, plus operations like cost attribution, observability, and self-healing. It is vendor-neutral across multiple clouds and GPUs rather than tied to one fleet, and it is operated by a UK-headquartered provider with UK data-residency options.
Which clouds and GPUs can I run on?
Yobibyte is vendor-neutral by design. Workloads run across multiple cloud substrates on a range of NVIDIA GPUs, so you pick the best price-performance for each job instead of being locked to one provider's hardware.
Can I fine-tune models on my own data?
Yes. You can fine-tune large language models and other AI models on your own datasets, then deploy the tuned versions to dedicated or serverless endpoints from the same platform.
Where is my data hosted, and how is governance handled?
Yobitel is UK-headquartered, UK-owned, and UK-governed, and is listed on the UK G-Cloud 14 framework. Yobibyte offers UK and regional data-residency options so you can keep data and workloads in your chosen jurisdiction under UK-law contracts and support.
How does pricing work?
Yobibyte is consumption-based and billed in USD, with usage metering, per-team cost attribution, and spend caps so you stay in control across on-demand, serverless, and reserved capacity.
The fastest path from model to production
Deploy 500+ AI models, fine-tune on your data, and scale to millions of requests, all from one platform.