For ML Engineers & MLOps

Isolated GPU Workspaces for Your Team

Team GPU sharing without the headache. One node. Everyone isolated. Zero cluster management.

Each team member gets their own environment—like a personal VM. Use Docker, run scripts, whatever you'd do on bare-metal. No shared SSH. No Kubernetes.

< 5 min
Team Onboarding
0
YAML Files Needed
1
Click to Deploy

GPU Sharing That Actually Works

No Kubernetes complexity. No SSH chaos. Just isolated GPU access for your entire team.

No Kubernetes Needed

Team GPU sharing without cluster complexity. We handle isolation, you handle ML.

Like a Personal VM

Each team member gets their own isolated environment. Use Docker, install packages, full flexibility.

No More Shared SSH

Stop giving root access to everyone. Isolated workspaces that can't interfere with each other.

Team Access in Minutes

Invite data scientists instantly. Built-in permissions and quotas. No infra setup needed.

Runs on Your Infrastructure

Deploy Float16 on your own GPU cluster. Your hardware, your data, full control.

Float16 Serverless GPU

Deploy Models Without Occupying GPU

Models sit ready on your cluster. GPU only activates when requests come in.

Traditional Deployment

Request
Model A
Model B
Model C
ON
ON
ON

3 GPUs reserved 24/7, mostly idle

Float16 Serverless GPU

Request
Model A
Model B
Model C
Sleeping
Shared GPU

1 GPU shared, activates only on request

Deploy Unlimited Models

No GPU reservation per model

Maximize GPU Utilization

GPU works only when needed

Instant Cold Start

Models ready in milliseconds

Spot VM

Maximize GPU Utilization with Spot VMs

Over-allocate responsibly. Spot VMs fill idle gaps and yield gracefully when on-demand needs priority.

Without Spot VM

GPU 1
IDLE
GPU 2
IDLE
IDLE
GPU 3
IDLE
GPU Utilization~40%

GPUs sitting idle, wasting capacity

With Spot VM

GPU 1
Spot
GPU 2
Spot
Spot
GPU 3
Spot
GPU Utilization~95%

Every gap filled, Spot yields when needed

Better Utilization

Fill every idle gap in your GPU cluster

Cost Efficient

Run batch jobs and experiments at lower priority

Graceful Preemption

Spot VMs yield smoothly when on-demand needs priority

Role-Based Access Control

Fine-Grained Permissions for Your Team

Control who can access VMs, deploy models, and manage resources. No more shared SSH keys or all-or-nothing access.

Role-Based Access Control

All
Write
Read
Organization Structure
AI Research
NLP TeamLLM Training
Vision TeamImage Gen
Engineering
PlatformAPI Services
User Permissions by Resource
User
VM
API
Billing
Deploy
Monitor
Admin
Alice Chen
Team Lead
Bob Smith
ML Engineer
Carol Lee
Researcher
David Kim
Contractor
Emma Wilson
DevOps
Contractor|
Full
Write
Read

Granular Permissions

Control access to VMs, APIs, billing, and more per user

Team Hierarchy

Organize by department, team, and project

Contractor Support

Limited access for external collaborators

Bring Float16 to Your GPU Cluster

Deploy Float16 on your infrastructure. Give your team isolated GPU access without the Kubernetes complexity. We'll help you set it up.