Inceptron compiler, now open for early access. Auto-compile models for maximum efficiency. Join early access →
Inceptron compiler, now open for early access. Auto-compile models for maximum efficiency. Join early access →
Inceptron compiler, now open for early access. Auto-compile models for maximum efficiency. Join early access →
The platform for scalable, reliable, and efficient inference
The platform for scalable, reliable, and efficient inference
Run open-source, proprietary, or fine-tuned models on infrastructure purpose-built for production.
Run open-source, proprietary, or fine-tuned models on infrastructure purpose-built for production.
Products
Inference
Build with Model APIs
Test new workloads, prototype new products, or evaluate the latest models with production-grade performance — instantly.
Test new workloads, prototype new products, or evaluate the latest models with production-grade performance — instantly.
anthropic/claude-haiku-4.5
google/gemini-2.5-flash
xai/grok-4-fast-non-reasoning
mistral/ministral-3b
deepseek/deepseek-v3.2-exp…
meta/llama-4-maverick
openai/gpt-4.1-nano
deepseek/deepseek-v3.2-exp…
google/gemini-2.5-flash
xai/grok-4-fast-non-reasoning
anthropic/claude-haiku-4.5
mistral/ministral-3b
anthropic/claude-haiku-4.5
google/gemini-2.5-flash
xai/grok-4-fast-non-reasoning
mistral/ministral-3b
deepseek/deepseek-v3.2-exp…
meta/llama-4-maverick
openai/gpt-4.1-nano
deepseek/deepseek-v3.2-exp…
google/gemini-2.5-flash
xai/grok-4-fast-non-reasoning
anthropic/claude-haiku-4.5
mistral/ministral-3b
anthropic/claude-haiku-4.5
google/gemini-2.5-flash
xai/grok-4-fast-non-reasoning
mistral/ministral-3b
deepseek/deepseek-v3.2-exp…
meta/llama-4-maverick
openai/gpt-4.1-nano
deepseek/deepseek-v3.2-exp…
google/gemini-2.5-flash
xai/grok-4-fast-non-reasoning
anthropic/claude-haiku-4.5
mistral/ministral-3b
Optimize
Optimize your Models
Use our proprietary inference-optimization on models without restrictions or overhead, for the best possible performance in production.
Use our proprietary inference-optimization on models without restrictions or overhead, for the best possible performance in production.
Platform
Build on a powerful
foundation
From compiler to runtime, Inceptron powers low-latency, scalable inference without the busywork.
Compiler-accelerated runtime
Compiler-accelerated
Compiler-accelerated
Our proprietary optimization compiler fuses graphs, tunes kernels, and manages memory for your target hardware—cutting latency and cost.
Fast endpoints, no cold starts
Fast endpoints
Fast endpoints
Launch model endpoints in one step. Pre-warmed replicas and cached weights keep p50/p95 low, with autoscaling that follows real traffic.
Launch model endpoints in one step. Pre-warmed replicas and cached weights keep p50/p95 low, with autoscaling that follows real traffic.
Launch model endpoints in one step. Pre-warmed replicas and cached weights keep p50/p95 low, with autoscaling that follows real traffic.
Connect to MLOps tools
Connect to MLOps
Connect to MLOps
Mount your cloud buckets, plug into CI/CD, and stream telemetry to your observability stack—without changing your workflow.
Multi-cloud capacity
Multi-cloud
Run across providers. We place replicas where GPUs are available and fail over automatically, so capacity is there when you need it.
Platform UI
Spin up endpoints and test in the built-in chat. Version models, manage keys, and go live in minutes.
Usage
Track requests, latency, and success rates by model and workspace. Get alerts and drill into traces to fix issues fast.
Spending
See total spend, tokens, and compute by project and model. Set budgets and alerts with workspace, endpoint, and time breakdowns.
Platform UI
Spin up endpoints and test in the built-in chat. Version models, manage keys, and go live in minutes.
Platform UI
Spin up endpoints and test in the built-in chat. Version models, manage keys, and go live in minutes.
Usage
Track requests, latency, and success rates by model and workspace. Get alerts and drill into traces to fix issues fast.
Spending
See total spend, tokens, and compute by project and model. Set budgets and alerts with workspace, endpoint, and time breakdowns.
Usage
Track requests, latency, and success rates by model and workspace. Get alerts and drill into traces to fix issues fast.
Usage
Track requests, latency, and success rates by model and workspace. Get alerts and drill into traces to fix issues fast.
Spending
See total spend, tokens, and compute by project and model. Set budgets and alerts with workspace, endpoint, and time breakdowns.
Spending
See total spend, tokens, and compute by project and model. Set budgets and alerts with workspace, endpoint, and time breakdowns.
Engineered for faster, more efficient AI deployment.
Use your model or ours
Import custom checkpoints or start from
our curated library. Create versioned endpoints
with keys, access controls, and rollout policies
in minutes.
Import custom checkpoints or start from our curated library. Create versioned endpoints with keys, access controls, and rollout policies in minutes.
fine-tuned model
53 tokens used
Compiler optimizations
Our proprietary compiler fuses graphs,
auto-tunes kernels, and plans memory for your
target hardware—cutting latency and cost.
Add performance-aware compression
(quantization, pruning) for even higher
throughput.
Our proprietary compiler fuses graphs, auto-tunes kernels, and plans memory for your target hardware—cutting latency and cost. Add performance-aware compression (quantization, pruning) for even higher throughput.
Specialized AI agents
Build reliable agents with native function calling,
structured JSON outputs, and safety guardrails.
Use task-specific compression to create smaller,
faster models tailored to your use case.
Build reliable agents with native function calling, structured JSON outputs, and safety guardrails. Use task-specific compression to create smaller, faster models tailored to your use case.
import { generate } from 'nova-gen'; app.post('/v1/completions', async (req, res) => { const { prompt } = req.body; if (!prompt) return res.status(400).json({ error: 'Missing prompt' }); const output = await generate(prompt, { model: 'nova-2b' }); res.json({ completion: output }); }); app.listen(3000);
import { generate } from 'nova-gen'; app.post('/v1/completions', async (req, res) => { const { prompt } = req.body; if (!prompt) return res.status(400).json({ error: 'Missing prompt' }); const output = await generate(prompt, { model: 'nova-2b' }); res.json({ completion: output }); }); app.listen(3000);
import { generate } from 'nova-gen'; app.post('/v1/completions', async (req, res) => { const { prompt } = req.body; if (!prompt) return res.status(400).json({ error: 'Missing prompt' }); const output = await generate(prompt, { model: 'nova-2b' }); res.json({ completion: output }); }); app.listen(3000);
Batched inference
Maximize throughput with dynamic batching
that groups similar requests without spiking
latency. Serve millions of tokens per minute
while keeping costs predictable.
Maximize throughput with dynamic batching that groups similar requests without spiking latency. Serve millions of tokens per minute while keeping costs predictable.
Scheduled Inference
Scheduled Inference
Elastic autoscaling
Elastic GPU scaling
On-demand GPU capacity across clouds with
ntelligent placement. No quotas or reservations
—scale up instantly under load and back to zero
when idle.
On-demand GPU capacity across clouds with intelligent placement. No quotas or reservations—scale up instantly under load and back to zero when idle.
Unified Observability
Integrated logging and full visibility into every
function, container, and workload. Correlate
metrics and traces to pinpoint issues fast.
Integrated logging and full visibility into every function, container, and workload. Correlate metrics and traces to pinpoint issues fast.
Live Usage
Live Usage
Time
Time
05:12am
05:12am
Containers
Containers
4
4
GPU Utilization
GPU Utilization
37%
37%
H100s
H100s
1028 GPUs
1028 GPUs
Optimization
Compiler-driven performance
Auto-tuned kernels, graph fusion, and compression for lower latency and cost.
Agentic tuning
Finding the most efficient implementations for the algorithms needed to run inference is a hard problem, that depends not only on the model, but also on the hardware on which it runs. Inceptron leverages a combination of ML agents and Bayesian optimization to search for optimal solutions, a technique also known as auto-tuning. By aggregating and storing the results of the tuning, in databases and as model weights, Inceptron continuously improves the tuning efficiency.
Memory optimizations
Hardware-aware compilation
Graph level optimizations
Model compression
Agentic tuning
Finding the most efficient implementations for the algorithms needed to run inference is a hard problem, that depends not only on the model, but also on the hardware on which it runs. Inceptron leverages a combination of ML agents and Bayesian optimization to search for optimal solutions, a technique also known as auto-tuning. By aggregating and storing the results of the tuning, in databases and as model weights, Inceptron continuously improves the tuning efficiency.
Memory optimizations
Hardware-aware compilation
Graph level optimizations
Model compression
Agentic tuning
Finding the most efficient implementations for the algorithms needed to run inference is a hard problem, that depends not only on the model, but also on the hardware on which it runs. Inceptron leverages a combination of ML agents and Bayesian optimization to search for optimal solutions, a technique also known as auto-tuning. By aggregating and storing the results of the tuning, in databases and as model weights, Inceptron continuously improves the tuning efficiency.
Memory optimizations
Hardware-aware compilation
Graph level optimizations
Model compression
Run any model on the fastest endpoints
Use our API to deploy any open-source model on the fastest inference stack available with optimal cost efficiency.
Scale into a dedicated deployment anytime with a custom number of instances to get optimal throughput.
Curl
Python
JavaScript
curl https://api.inceptron.io/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $INCEPTRON_API_KEY" \ -d '{ "model": "meta-llama/Llama-3.3-70B-Instruct", "messages": [ { "role": "user", "content": "How many moons are there in the Solar System?" } ] }'
Curl
Python
JavaScript
curl https://api.inceptron.io/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $INCEPTRON_API_KEY" \ -d '{ "model": "meta-llama/Llama-3.3-70B-Instruct", "messages": [ { "role": "user", "content": "How many moons are there in the Solar System?" } ] }'
Curl
Python
JavaScript
curl https://api.inceptron.io/v1/chat/completions \ -H "Content-Type: application/json" \ -H "Authorization: Bearer $INCEPTRON_API_KEY" \ -d '{ "model": "meta-llama/Llama-3.3-70B-Instruct", "messages": [ { "role": "user", "content": "How many moons are there in the Solar System?" } ] }'
Security and governance
Your models. Your data. Fully protected.
Team controls
Team controls
Team controls
Hardened isolation
Hardened isolation
Hardened isolation
ISO & GDPR
ISO & GDPR
ISO & GDPR
Data residency controls
Data residency controls
Data residency controls
Why choose Inceptron?
Engineered performance
Compiler-accelerated inference: agentic tuning, graph fusion, memory planning
Hardware-aware codegen for modern GPUs (Blackwell-ready)
Batched inference and pre-warmed replicas for low p95
Engineered performance
Compiler-accelerated inference: agentic tuning, graph fusion, memory planning
Hardware-aware codegen for modern GPUs (Blackwell-ready)
Batched inference and pre-warmed replicas for low p95
Operational scale
Elastic GPU capacity across clouds; burst on demand, scale to zero when idle
Intelligent placement and automatic failover; optional EU-only processing
Usage, latency, and cost analytics built in
Versioned endpoints with safe rollouts
Operational scale
Elastic GPU capacity across clouds; burst on demand, scale to zero when idle
Intelligent placement and automatic failover; optional EU-only processing
Usage, latency, and cost analytics built in
Versioned endpoints with safe rollouts
Security & compliance
ISO 27001 and GDPR in progress
SSO (SAML/OIDC), RBAC, and audit trails
Hardened container isolation; encryption in transit and at rest
Data residency controls by region
