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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.

About

Tensormesh is a caching layer built specifically for large-language-model inference workloads that enables organizations to reuse intermediate computations, drastically reduce GPU usage, and accelerate time-to-first-token and latency. It works by capturing and reusing key-value cache states that are normally thrown away after each inference, thereby cutting redundant compute and delivering “up to 10x faster inference” while substantially lowering GPU load. It supports deployments in public cloud or on-premises, with full observability and enterprise-grade control, SDKs/APIs, and dashboards for integration into existing inference pipelines, and compatibility with inference engines such as vLLM out of the box. Tensormesh emphasizes performance at scale, including sub-millisecond repeated queries, while optimizing every layer of inference from caching through computation.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Enterprises and AI infrastructure teams wanting a tool to reduce latency and cost while maintaining full control over deployment and data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Tensormesh
Founded: 2025
United States
www.tensormesh.ai/

Alternatives

OpenVINO

OpenVINO

Intel

Alternatives

Categories

Categories

Integrations

CUDA
Dataoorts GPU Cloud
Hugging Face
Kimi K2
Kimi K2.5
LaunchX
MATLAB
NVIDIA AI Enterprise
NVIDIA Clara
NVIDIA DeepStream SDK
NVIDIA Jetson
NVIDIA Morpheus
NVIDIA NIM
NVIDIA virtual GPU
PyTorch
Python
RankGPT
RankLLM
Rosepetal AI
Ultralytics

Integrations

CUDA
Dataoorts GPU Cloud
Hugging Face
Kimi K2
Kimi K2.5
LaunchX
MATLAB
NVIDIA AI Enterprise
NVIDIA Clara
NVIDIA DeepStream SDK
NVIDIA Jetson
NVIDIA Morpheus
NVIDIA NIM
NVIDIA virtual GPU
PyTorch
Python
RankGPT
RankLLM
Rosepetal AI
Ultralytics
Claim NVIDIA TensorRT and update features and information
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