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 or fine-tuned models on infrastructure purpose-built for production.
Run open-source or fine-tuned models on infrastructure purpose-built for production.
Products
Hosted 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 models
Supercharge 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.
Engineered from the ground up
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.
Autoscaled compute &
Batched Inference
Autoscaling & 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.
Intelligent scheduling
Intelligent scheduling
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
Security and governance
Your models. Your data. Fully protected.
Team controls
Team controls
Hardned isolation
Hardned isolation
ISO & GDPR
ISO & GDPR
Data residency controls
Data residency controls
Run any model on the fastest endpoints
Use our API to deploy any model on one of the most cost-efficient inference stacks available.
Scale seamlessly to a dedicated deployment at any time for 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?" } ] }'