NVIDIA
NVIDIA DGX Spark 64GB
NVIDIA DGX Spark with 64GB configuration and NVIDIA Grace Blackwell compute.
- Compute
- NVIDIA Grace Blackwell
- Networking
- NVIDIA ConnectX-7
- Configuration
- 64GB
- Model Support
- up to 100-billion-parameter models
The decision
Where it wins
- Supports up to 100-billion-parameter models
- Up to 1.7x performance compared to a single system
Where it doesn't
- Limited to 64GB configuration, constraining memory availability for larger models
Key Features
- ✦NVIDIA Grace Blackwell compute
- ✦NVIDIA ConnectX-7 networking
- ✦Up to 1.7x performance compared to a single system
- ✦Supports up to 100-billion-parameter models
Specifications
Structured product data, grouped by system.
Core hardware02
| Model Support | up to 100-billion-parameter models |
|---|---|
| Cluster Model Support | up to 200 billion parameters |
Platform & software01
| Software Stack | NVIDIA AI software stack |
|---|
Other specifications05
| Compute | NVIDIA Grace Blackwell |
|---|---|
| Networking | NVIDIA ConnectX-7 |
| Configuration | 64GB |
| Performance Test | NVIDIA’s Qwen 3.8 27B test |
| Performance Comparison | up to 1.7x performance compared with a single system |
Read the record
- Source on record
- blogs.nvidia.com
The NVIDIA DGX Spark with 64GB configuration offers a powerful solution for AI workloads, leveraging the NVIDIA Grace Blackwell processor and ConnectX-7 networking. It supports up to 100-billion-parameter models and provides up to 1.7x performance compared to a single system. The trade-off is the limited 64GB configuration, which may not be sufficient for larger models requiring more memory. Ideal for organizations needing robust AI capabilities within a constrained memory environment.
Frequently Asked Questions
Who is NVIDIA DGX Spark 64GB for?↓
What are the drawbacks of NVIDIA DGX Spark 64GB?↓
What does NVIDIA DGX Spark 64GB do well?↓
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Further reading
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