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Average Ratings 0 Ratings
Description
Protopia AI’s Stained Glass Transform (SGT) is a revolutionary privacy layer designed to secure sensitive enterprise data during AI model inference and training. It empowers organizations to unlock the full potential of their data by securely transmitting and processing information without exposing confidential details. SGT is highly versatile, working seamlessly across various infrastructure setups, including on-premises, hybrid clouds, and multi-tenant environments, while optimizing GPU performance for fast AI workloads. By running up to 14,000 times faster than cryptographic techniques, it minimizes inference delays to mere milliseconds, enabling real-time AI applications. The solution targets industries where data privacy is paramount, such as financial services, government defense, and regulated healthcare sectors. Protopia also partners with leading platforms like AWS, Lambda, and vLLM to enhance AI deployment and data protection capabilities. Additionally, it offers specialized features like feature-level data obfuscation and prompt protection for large language models. This combination of speed, security, and flexibility positions SGT as a critical tool for enterprises striving to adopt AI responsibly and efficiently.
Description
vLLM is an advanced library tailored for the efficient inference and deployment of Large Language Models (LLMs). Initially created at the Sky Computing Lab at UC Berkeley, it has grown into a collaborative initiative enriched by contributions from both academic and industry sectors. The library excels in providing exceptional serving throughput by effectively handling attention key and value memory through its innovative PagedAttention mechanism. It accommodates continuous batching of incoming requests and employs optimized CUDA kernels, integrating technologies like FlashAttention and FlashInfer to significantly improve the speed of model execution. Furthermore, vLLM supports various quantization methods, including GPTQ, AWQ, INT4, INT8, and FP8, and incorporates speculative decoding features. Users enjoy a seamless experience by integrating easily with popular Hugging Face models and benefit from a variety of decoding algorithms, such as parallel sampling and beam search. Additionally, vLLM is designed to be compatible with a wide range of hardware, including NVIDIA GPUs, AMD CPUs and GPUs, and Intel CPUs, ensuring flexibility and accessibility for developers across different platforms. This broad compatibility makes vLLM a versatile choice for those looking to implement LLMs efficiently in diverse environments.
API Access
Has API
No
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Database Mart
No
Docker
No
DocsGPT
No
Hugging Face
No
KServe
No
Kubernetes
No
Muse Spark Open
No
NGINX
No
NVIDIA DRIVE
No
Nemotron 3.5 Bolt
No
Integrations
Database Mart
Yes
Docker
Yes
DocsGPT
Yes
Hugging Face
Yes
KServe
Yes
Kubernetes
Yes
Muse Spark Open
Yes
NGINX
Yes
NVIDIA DRIVE
Yes
Nemotron 3.5 Bolt
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Protopia AI
Founded
2020
Country
United States
Website
protopia.ai/
Vendor Details
Company Name
vLLM
Country
United States
Website
vllm.ai
Product Features
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No