Built for Petabyte Scale. Zero Bottlenecks.
Explore DataSculpt's 4-layer hardware-accelerated architecture from streaming ingestion and zero-copy Apache Arrow memory to CUDA GPU compute cores and vector DB outputs.
INTERACTIVE TOPOLOGY / REFERENCE MODEL
One system. Four deliberate layers.
Select or hover a layer to inspect its illustrative operating profile.
LAYER 01 / ACTIVE PROFILE
Multi-Source Ingestion Layer
A resilient entry layer for streaming, warehouse, lake, database, and edge inputs. Data arrives with source context intact so downstream contracts can shape it deliberately.
LATENCY
18 ms
THROUGHPUT
12.4 GB/s
MEMORY
22%
HARDWARE ACCELERATION / CORE INNOVATIONS
Deep-tech primitives that remove the waiting.
Zero-Copy Apache Arrow In-Memory Engine
Eliminates serialization overhead between CPU, RAM, and GPU VRAM so each stage can work from the same high-performance memory representation.
CUDA Tensor Core Offloading
Executes heavy SQL joins, aggregations, and window functions directly on GPU hardware when the workload benefits from parallel acceleration.
Out-of-Core Memory Streaming
Intelligently spills oversized datasets across NVMe storage, keeping pipelines resilient when working sets exceed available memory.
DEPLOYMENT / SECURITY / COMPLIANCE
Designed around your operating boundary.
Single-Tenant Isolated VPC
Deploy DataSculpt inside a dedicated cloud boundary with private networking, controlled ingress, and infrastructure ownership aligned to enterprise policy.
On-Premise GPU Cluster Integration
Connect to NVIDIA DGX systems or bare-metal GPU clusters when data locality, dedicated compute, or regulated environments require an on-premise operating model.
Security & Compliance Controls
Design for encryption in transit and at rest.
ARCHITECTURE REVIEW
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Bring your data boundary, workload shape, and compliance requirements. Map them to an acceleration path designed for your environment.