Jev

Jev

TypeSafe AI
+
+

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About

Jev is a System One Model from TypeSafe AI designed for fast, structured decision-making inside software and automated workflows. Unlike conventional large language models that generate free-form text token by token, Jev accepts unstructured state and returns predefined type-safe values with calibrated probabilities and confidence scores. The model uses a parallel sampling architecture and a training approach called Reinforcement Learning for Calibrated Decisions, which is optimized for producing reliable probabilistic decisions rather than conversational responses. Jev is intended for tasks such as classification, routing, scoring, extraction, branching logic, verification, guardrails, and other AI-powered workflows where structured outputs can plug directly into application code. TypeSafe reports end-to-end response times ranging from about 70 to 500 milliseconds and says Jev can be substantially faster and more efficient than frontier language models on System One-style workloads.

About

NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Software developers, AI engineers, automation teams, infrastructure builders, and enterprises that need low-latency, type-safe, probabilistic AI decisions for production software and structured workflows

Audience

Machine learning engineers and data scientists seeking a tool to optimize their deep learning operations

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Input: $0.042 / 1M tokens
Input tokens: $0.042 / 1 million tokens ($42 per billion tokens).

Output tokens: FREE (too cheap to meter).
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Not Supported
In Person Supported

Company Information

TypeSafe AI
Founded: 2024
United States
typesafe.ai/

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/tensorrt

Alternatives

Prisma ORM

Prisma ORM

Prisma.io

Alternatives

OpenVINO

OpenVINO

Intel
WunderGraph Cosmo

WunderGraph Cosmo

WunderGraph
next-forge

next-forge

Vercel

Categories

AI Models Supported

Categories

AI Inference Supported

Integrations

CUDA Not Supported
Dataoorts GPU Cloud Not Supported
Hugging Face Not Supported
Kimi K2 Not Supported
Kimi K2.5 Not Supported
Kimi K2.7 Code Not Supported
LaunchX Not Supported
MATLAB Not Supported
NVIDIA Broadcast Not Supported
NVIDIA DRIVE Not Supported
NVIDIA Jetson Not Supported
NVIDIA Merlin Not Supported
NVIDIA Morpheus Not Supported
NVIDIA NIM Not Supported
NVIDIA Riva Studio Not Supported
NVIDIA virtual GPU Not Supported
Python Not Supported
RankGPT Not Supported
TensorFlow Not Supported
Thunder Compute Not Supported

Integrations

CUDA Supported
Dataoorts GPU Cloud Supported
Hugging Face Supported
Kimi K2 Supported
Kimi K2.5 Supported
Kimi K2.7 Code Supported
LaunchX Supported
MATLAB Supported
NVIDIA Broadcast Supported
NVIDIA DRIVE Supported
NVIDIA Jetson Supported
NVIDIA Merlin Supported
NVIDIA Morpheus Supported
NVIDIA NIM Supported
NVIDIA Riva Studio Supported
NVIDIA virtual GPU Supported
Python Supported
RankGPT Supported
TensorFlow Supported
Thunder Compute Supported
Claim Jev and update features and information
Claim Jev and update features and information
Claim NVIDIA TensorRT and update features and information
Claim NVIDIA TensorRT and update features and information