ENTERPRISE INFRASTRUCTURE

Deploy AI at Hyperspeed.

The complete toolkit for training, fine-tuning, and serving models at global scale. Orchestrate your entire ML lifecycle with a single line of code.

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From Notebook to Global API

FyreToolkit abstracts away the complexity of Kubernetes, Docker, and GPU provisioning.

1
Connect

Link your GitHub repository or Model Registry. We automatically detect dependencies and model architecture.

2
Analyze

Our engine profiles your model to determine optimal hardware requirements and batch sizes.

3
Optimize

Automatic quantization (INT8/FP16) and TensorRT compilation for up to 10x faster inference.

4
Deploy

Push to our global edge network. Auto-scaling, load balancing, and failover included out of the box.

Integrates with your Stack

Native support for the industry's leading frameworks. No proprietary lock-in, just pure performance.

PyTorch
TensorFlow
Hugging Face
LangChain
ONNX
JAX
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import fyre.torch as fyre import torch # 1. Initialize FyreToolkit model = torch.load("model.pt") deployer = fyre.Deployer(api_key="fyre_...") # 2. Deploy with auto-scaling config endpoint = deployer.deploy( model, name="sentiment-analysis-v2", hardware="nvidia-a100", min_instances=1, max_instances=10 ) print(f"API Live: {endpoint.url}")
import fyre.tf as fyre import tensorflow as tf # 1. Load SavedModel model = tf.saved_model.load("./saved_model") # 2. Serve with TensorRT optimization service = fyre.Service( model, optimize=True, precision="fp16" ) service.deploy(region="us-east-1")
from fyre.integrations import HuggingFace from transformers import pipeline # 1. Wrap standard pipeline pipe = pipeline("text-generation", model="gpt2") fyre_pipe = HuggingFace.wrap(pipe) # 2. Deploy as serverless function fyre_pipe.deploy_serverless( timeout=30, memory="16GB" )
from fyre.llm import FyreLLM from langchain.chains import LLMChain # 1. Use Fyre-hosted LLM backend llm = FyreLLM( model="llama-3-70b", temperature=0.7 ) # 2. Create and run chain chain = LLMChain(llm=llm, prompt=prompt) chain.run("Explain quantum computing")

Built for Enterprise Scale

Security, compliance, and reliability are baked into the core of FyreToolkit.

🛡️
Bank-Grade Security

SOC2 Type II certified. End-to-end encryption for data in transit and at rest. Private VPC peering available.

⚡
Global Edge Network

Deploy models to 35+ regions instantly. Route requests to the nearest node for <50ms latency worldwide.

⚖️
Compliance Ready

Fully compliant with GDPR, HIPAA, and CCPA. Automated audit logs and role-based access control (RBAC).

99.99%
Uptime SLA
500M+
Daily Predictions
10x
Faster Inference