Model Fine-Tuning Solutions
Elevate Your AI Models with Precision Fine-Tuning on High-Performance Infrastructure
Fine-tune AI models with AMD Instinct™ MI300X GPUs, high-speed infrastructure, and integrated MLOps tools
Optimized for scalability, security, and peak performance
Features
Scalable Infrastructure
Adjust compute resources on demand with cost-efficient scaling and deploy on bare-metal servers or managed Kubernetes clusters.
Powerful Compute
256GB
of
HBM3E
GPUs with 3.2 Tb/s interconnects for ultra-fast processing.
Optimized Performance
TensorWave’s AI-optimized cloud delivers unparalleled performance for training and deploying complex models, surpassing general-purpose solutions.
Enterprise Security
Protect data and models in isolated infrastructures with compliance to industry standards and regulations.
SOC2 Type II certified
HIPAA compliant
MLOps Integration
Streamline fine-tuning with MLOps tools for tracking, versioning, and workflow management, seamlessly integrating with PyTorch, TensorFlow, and JAX.
Fine-Tuning
Seamless Workflows
High-speed networking and storage solutions ensure low-latency communication and rapid data access for efficient fine-tuning.
Performance Metric | Details |
---|---|
Network Throughput | High-Speed Interconnects: Up to 3.2 Tb/s inter-node communication, minimizing latency in distributed fine-tuning. |
Storage Performance | Optimized Data Access: High-performance storage ensures rapid data retrieval and checkpointing during fine-tuning. |
Network Throughput
Details:
High-Speed Interconnects: Up to 3.2 Tb/s inter-node communication, minimizing latency in distributed fine-tuning.
Storage Performance
Details:
Optimized Data Access: High-performance storage ensures rapid data retrieval and checkpointing during fine-tuning.