Float16

Full-Stack GPU Management

One platform to deploy, manage, and scale your entire GPU infrastructure. From ready-to-use AI services to bare-metal GPU instances.

User
AaaS
PaaS
IaaS
GPU

AaaS

AI-as-a-Service

Access ready-to-use AI models instantly. No coding or infrastructure knowledge required.

Access via
Web Dashboard or REST API

Dedicated Resources. Zero Interference.

Each GPU is isolated and dedicated to your workload. No noisy neighbors, no resource contention.

Float16 GPU Management Platform
8x GPU Workloads
GPU 1

Serverless GPU

For ML Engineers

Scale to zero, 1-sec cold start

GPU 2

Serverless GPU

For ML Engineers

Scale to zero, 1-sec cold start

GPU 3

Serverless GPU

For ML Engineers

Scale to zero, 1-sec cold start

GPU 4

Jupyter Notebook

For Researchers

Teaching & POC ready

GPU 5

Remote Access

For Data Scientists

Full control via secure shell access

GPU 6

Remote Access

For Data Scientists

Full control via secure shell access

GPU 7

LLM Endpoint

For Developers

Ready-to-use API, no config needed

GPU 8

LLM Endpoint

For Developers

Ready-to-use API, no config needed

From Fixed Slots to Flexible Credits

Stop wasting GPU time with rigid schedules. Float16 gives teams credit-based quotas they can use whenever needed.

The Problem

Inflexible Allocation

Static time-based quotas cannot adapt to changing workload demands. You reserve fixed hours regardless of actual needs.

Resource Wastage

Reserved time slots leave GPUs underutilized. Fixed quotas cannot adapt to varying workload intensities.

Float16 Solution

Granular Workload Control

Dynamically allocate resources based on workload type — training, inference, batch processing — each with its own optimized configuration.

Full Resource Utilization

Achieve optimal hardware efficiency with dynamic scheduling that keeps your GPUs working at full capacity.

See the Difference

Fixed time slots vs flexible credit-based quotas

Fixed Time Slots

Each team locked to specific hours

67%
Team A: 8AM-2PM
Team B: 2PM-8PM
Team C: 8PM-8AM
IDLE
IDLE
IDLE
IDLE
IDLE
IDLE
IDLE
IDLE
8AM2PM8PM8AM

8 hours wasted — GPU sits idle within reserved slots

Credit-Based Quota

Teams use hours flexibly when needed

100%
Team A
6h
Team B
6h
Team C
12h

Actual usage — teams use GPU on-demand:

8AM2PM8PM8AM

No wasted time — GPU fully utilized, quotas used flexibly

From Complex Setup to One-Click Deploy

Stop wrestling with AI infrastructure. Float16 eliminates the complexity so developers can focus on building.

Traditional AaaS Setup

Complex, time-consuming, error-prone

config.yaml
model:
name: GPT-OSS-120B
batch_size: 32
max_tokens: 4096
infrastructure:
replicas: 3
gpu_memory: "80GB"
...
networking:
ssl: true
load_balancer: "nginx"
...
Config
Docker
K8s
Network
Monitor
CLI

2+ weeksaverage setup time

Float16 One-Click Deploy

Simple, fast, production-ready

Float16 Dashboard
GPT-OSS-120B
80GB

Your API is Live

api.float16.cloud/v1/GPT-OSS-120B

5 minutesfrom start to production

80%
TCO Reduction
5 min
vs 2+ weeks setup
Zero
DevOps Required
Get Started Today

Ready to Simplify Your GPU Management?

Join hundreds of teams using Float16 to deploy AI workloads faster. No infrastructure hassle, just results.

Setup in 5 minutes
90%+ GPU Utilization
1-sec Cold Start
Enterprise Security
Scale to Zero
24/7 Support