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TensorRT-LLM vs Reka

Side-by-side comparison of features, pricing, and ratings

TensorRT-LLM
TensorRT-LLM

Open-source LLM inference toolkit optimized for NVIDIA GPUs.

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Reka
Reka

Multimodal AI models and vision platform for video, image, audio, and text.

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Pricing
Free
Contact Sales
Plans
$0
Popularity
6.5k views
7.4k views
Skill Level
Advanced
Advanced
API Available
Platforms
CLIDesktopPlugin
WebAPI
Categories
💻 Code & Development📊 Data & Analytics🔬 Research & Education
🎬 Video & Audio🔒 Security & Privacy🔬 Research & Education
Features
Kernel fusion for optimized LLM inference
FP8 and INT4 quantization support
In-flight batching for higher throughput
Tensor parallelism across multiple GPUs
Pipeline parallelism across multiple GPUs
Python API for model definition and customization
C++ runtime for production deployment
Integration with Triton Inference Server
Automatic model engine compilation and optimization
Support for H100 and B200 GPUs
Sparse attention for long-context acceleration
Skip softmax attention for long-context inference
Distributed weight data parallelism (DWDP) for NVL72
Expert parallelism for MoE models
One-sided AlltoAll over NVLink for MoE communication
Native video understanding (captioning, Q&A, search)
Image analysis (detection, embeddings, Q&A)
Advanced audio understanding beyond transcription
Text processing and reasoning
Multimodal embeddings for search and retrieval
Custom model fine-tuning on proprietary data
Deployment options: cloud, on-prem, VPC, air-gapped
Vision Platform for no-code multimodal perception
Reka Clip for prompt-based clip generation
Spark 1B model for edge devices
Open-source model releases
Enterprise security, reliability, compliance
Real-time surveillance video analysis
Automatic captioning and scene detection
Content moderation for images and videos
Integrations
CUDA
TensorRT
Triton Inference Server
NVIDIA Docker
GitHub