Distributions
Spice.ai Enterprise runtime distributions for different workload requirements.
Spice.ai Enterprise provides multiple runtime distributions optimized for different workloads. All distributions are available in Enterprise; some are restricted or nightly-only in open source.
Supported Platforms
| Platform | Architecture | Minimum CPU Features |
|---|---|---|
| Linux | x86_64 | AVX2, FMA, BMI1/2, LZCNT, POPCNT |
| Linux | aarch64 (arm64) | NEON, FP16 (FEAT_FP16), FHM (FEAT_FHM) |
| macOS | aarch64 (Apple Silicon) | Native |
Distribution Availability
| Distribution / Capability | Open Source | Spice Cloud | Enterprise |
|---|---|---|---|
| Default (Data + AI) | Yes | Yes | Yes |
| Data-only | Nightly only | Yes | Yes |
| NAS (SMB + NFS) | Nightly only | No | Yes |
| Metal (macOS) | Yes | Yes | Yes |
| CUDA (Linux) | Nightly only | Yes | Yes |
| Allocator variants | Nightly only | Yes | Yes |
| ODBC connector | Local build only | Yes | Yes |
| HTTP user-defined functions | Local build only | Yes | Yes |
| WASM user-defined functions | Local build only | Yes | Yes |
Inline SQL user-defined functions (from: sql) are available in every distribution. The HTTP and WebAssembly tiers are shipped pre-built in Cloud and Enterprise distributions; open source users can enable them by building locally with the http-functions and wasm-functions cargo features. See User-Defined Functions for the full reference.
Default Distribution
Includes all standard data connectors, embedded data accelerators (Spice Cayenne, DuckDB, SQLite), AI/ML model inference (LLMs, embeddings), and search capabilities (vector and BM-25 full-text search). From 2.4.0, the default Enterprise Linux binaries and the <version>-enterprise and <version>-enterprise-models images link jemalloc. See Allocator Variants to run against a different one.
Data-Only Distribution
Excludes AI/ML model support. Provides a smaller binary size and reduced attack surface for workloads that only need data federation and acceleration.
NAS Distribution
Adds SMB and NFS data connector support. Enterprise-only for production use.
GPU-Accelerated Distributions
Metal (macOS)
GPU-accelerated AI/ML inference on Apple Silicon.
CUDA (Linux)
CUDA GPU-accelerated model inference. Supported compute capabilities:
| Compute Capability | GPUs |
|---|---|
| 80 | A100, A30 |
| 86 | RTX 30xx, A40, A10 |
| 87 | Jetson Orin |
| 89 | RTX 40xx, L40, L4 |
| 90 | H100, H200 |
The AWS Marketplace ECR registry does not carry a CUDA image; it publishes the Default, models, and allocator variants (see Docker). Contact us for a CUDA-enabled Enterprise deployment.
Allocator Variants
Different memory allocators can significantly impact performance depending on workload characteristics.
The allocator is selected when the runtime is built, and a build links exactly one. The startup line of spiced names it, for example (allocator: jemalloc).
| Release | Default and models images | Allocator variant image |
|---|---|---|
2.4.0 and later | jemalloc | -sysalloc: the system allocator |
2.2.1 to 2.3.x | The system allocator | -jemalloc: jemalloc |
Contact us about an snmalloc or mimalloc build.
snmalloc
Optimized for concurrent workloads.
jemalloc
Allocator that may perform better for certain memory allocation patterns. From 2.4.0, the <version>-enterprise and <version>-enterprise-models images link jemalloc. For 2.2.1 to 2.3.x, the Marketplace images with the -jemalloc suffix carry it:
docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/spice-ai/spiceai-enterprise-byol:2.3.5-enterprise-jemallocmimalloc
Microsoft's mimalloc allocator, designed for performance and security.
System Allocator
Uses the system's default allocator (glibc malloc on Linux). From 2.4.0, Marketplace images with the -sysalloc suffix carry it:
docker pull 709825985650.dkr.ecr.us-east-1.amazonaws.com/spice-ai/spiceai-enterprise-byol:2.4.1-enterprise-sysallocFor 2.2.1 to 2.3.x, the <version>-enterprise and <version>-enterprise-models images link it.
Choosing a Distribution
| Use Case | Recommended Distribution |
|---|---|
| General purpose with AI capabilities | Default |
| Data federation only, minimal footprint | Data-only |
| Network attached storage (SMB/NFS) | NAS |
| macOS with GPU acceleration | Metal |
| Linux with NVIDIA GPU | CUDA |
| Memory allocation tuning | Allocator variants |