NVIDIA DGX Spark (GB10 Grace Blackwell)
$6,950
NVIDIA's desktop AI supercomputer, and the CUDA-native answer to the Strix Halo boxes. The GB10 Grace Blackwell superchip pairs a 20-core Arm CPU with a Blackwell GPU and 128GB of coherent unified memory, with a 200GbE ConnectX-7 NIC so two units cluster to run 405B-class models. The headline '1 PFLOP FP4' is sparse — dense compute is roughly half (≈RTX 5070-class) — and at 273 GB/s, memory bandwidth is the real ceiling. You're buying CUDA + capacity, not bandwidth.
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Specifications
| Chip | GB10 Grace Blackwell Superchip |
| CPU | 20-core Arm (10× Cortex-X925 + 10× A725) |
| GPU | Blackwell (5th-gen Tensor Cores), CUDA-native |
| AI Performance | Up to 1 PFLOP FP4 sparse (~500 TFLOPS dense) |
| Unified Memory | 128GB LPDDR5X |
| Memory Bandwidth | 273 GB/s |
| Networking | ConnectX-7 200GbE (2-unit clustering), 10GbE RJ-45 |
| Storage | 4TB NVMe (self-encrypting) |
| OS | NVIDIA DGX OS (Ubuntu-based) |
Pros
- CUDA-native + full NVIDIA/DGX software stack — best dev ergonomics for AI work
- 128GB unified in a 1.2kg box; 2-unit 200GbE stacking reaches 405B-class locally
- Drop-in compatibility with the datacenter toolchain
Cons
- 273 GB/s bandwidth is low for the price — token throughput lags Apple Ultra and GPUs
- Headline '1 PFLOP FP4' is sparse-only; dense compute ~5070-class, not datacenter-class
- Price hiked twice in 2026 on memory supply — $3,999 → $4,699 (Feb) → $6,950 (Oct 2); the new 64GB SKU is $4,999 for half the memory
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