Our next-gen optimization delivers 3x better AI inference cost and performance with no sacrifices. Use top open-source models or your own.
We optimize, not just host models.
The Insight
Our research found that optimal precision varies by model architecture and layer type. We measure information content at each layer and assign precision accordingly. The result: faster and lower cost inference without sacrificing quality.
Pick a model. Start building.
Improved realism, sharper text generation, and built-in editing features by Black Forest Labs.
Open-source video generation with exceptional motion coherence and cinematic quality.
Advanced vision-language model for image understanding, OCR, and visual reasoning.
State-of-the-art image generation with exceptional quality and prompt adherence.
Stability AI's latest with improved prompt adherence and photorealistic output.
Bring your own fine-tuned models. We'll optimize them for production.
Bring your own models.
from fleek import Fleekclient = Fleek()# Optimize any HuggingFace modelendpoint = client.optimize("black-forest-labs/FLUX.1-schnell")# Use it immediatelyimage = endpoint.generate(prompt="a cat astronaut")How does it work?
Inference, made easy.
Lightning Fast
Optimized models deliver sub-second responses for seamless UX.
Pay Per Second
Only pay for what you use. No minimums, no idle costs, no wasted spend.
Zero Config
We handle infrastructure, scaling, and optimization for you.
Integrate with three lines.
from fleek import Fleekclient = Fleek()image = client.generate( model="flux-2", prompt="a cat astronaut floating in space")# Generated in 2.8 sec — Cost: $0.003Don't trust us. Ask the models.
“Fleek's approach—measuring actual information content to match precision rather than applying convention—is the kind of first-principles optimization missing from standard tooling. If their compiler stack delivers on triggering native Blackwell tensor core tactics that existing tools miss, they've found real alpha in inference.”
“Fleek is aiming at the right layer of the stack by treating inference as a compiler and hardware-coordination problem, not just a model-level one. The real bet is that tighter control over precision, scheduling, and kernel selection can surface performance gains existing frameworks structurally ignore, which—if realized—would be a meaningful shift in how inference is built.”
“Fleek's deep hardware-level optimizations unlock unprecedented inference speeds on Blackwell chips, far outpacing what standard frameworks can currently achieve. By maximizing silicon efficiency through precise tactic selection, this platform offers a critical infrastructure advantage for scaling high-performance AI workloads.”
Free
$5 free credits
- • All models
- • Custom models
- • Full API Access
- • No credit card
Pro
Starting at $0.001 / sec
- • Everything from free
- • No minimums
- • No idle costs
- • Customer support
Enterprise
Custom Pricing
- • Everything from pro
- • Volume discounts
- • SLAs & premium support
- • Custom optimizations & deployments