RTXSpark.ai

Independent editorial site covering NVIDIA RTX Spark. Not affiliated with NVIDIA Corporation.

Announced · GTC Taipei · June 1, 2026

The personal
AI computer.

NVIDIA RTX Spark fuses a Grace Arm CPU, a Blackwell RTX GPU, and up to 128 GB of unified memory into a single superchip — delivering 1 petaflop of AI on a slim Windows laptop or a palm-sized desktop.

1 PFLOP
AI compute
128 GB
Unified memory
6,144
CUDA cores
Fall '26
Shipping
Launch partners — Fall 2026
ASUSDellHPLenovoMicrosoft SurfaceMSIAcerGIGABYTE
The Superchip

Mind and muscle, on one die.

RTX Spark unites a 20-core Grace CPU and a 6,144-core Blackwell RTX GPU through NVIDIA NVLink-C2C, sharing a single 128 GB memory pool. MediaTek co-designed the Arm CPU for industry-leading efficiency.

Blackwell RTX GPU
6,144CUDA cores

5th-gen Tensor Cores, FP4 precision

Grace CPU
20Arm cores

Co-designed with MediaTek

AI Performance
1petaflop FP4

≈ 1,000 TOPS with sparsity

Unified Memory
128GB max

Shared CPU + GPU via NVLink-C2C

Local LLMs
120Bparameters

1M-token context, on-device

AAA Gaming
100+fps @ 1440p

Ray tracing, DLSS 4.5, Reflex

Built for agents

From tool to teammate.

Agents like Hermes Agent and OpenClaw can now run securely on your primary device — executing tasks in Windows apps, reasoning across workflows, and semantically searching your local files.

Local agents that respect your data

NVIDIA OpenShell runtime routes requests to local models based on your privacy policy and can mask personal info before queries hit the cloud.

New Windows security primitives

Microsoft and NVIDIA collaborated on identity, containment, and policy controls so agents run isolated under user control.

Adobe rebuilt from the ground up

Premiere and Photoshop are being rearchitected for RTX Spark — up to 2× faster AI, editing, coloring, and effects.

Head to head

Where RTX Spark sits in 2026.

The Arm-on-Windows race has a new entrant. Here's how the top SKU stacks up against Apple Silicon, Qualcomm, and the incumbents.

ChipArchitectureMemoryAI peakGPUStack
NVIDIA RTX SparkGrace Blackwell (Arm)Up to 128 GB unified≈1,000 TOPS (FP4, sparse)6,144 CUDA · 5th-gen TensorCUDA · RTX · DLSS · TensorRT
Apple M4 MaxApple Silicon (Arm)Up to 128 GB unified · 546 GB/s38 TOPS (Neural Engine, INT8)40-core Apple GPUMetal · MLX · Core ML
Qualcomm Snapdragon X2 EliteOryon (Arm)Up to 64 GB LPDDR5X80 TOPS (NPU)Adreno integratedDirectML · Copilot+ runtime
Intel Core Ultra 200 / AMD Ryzen AIx86Discrete RAM + dGPU VRAM40–50 TOPS (NPU)Discrete GeForce / RadeonDirectML · CUDA (on dGPU)

Peak AI figures are not apples-to-apples: NVIDIA's 1,000 TOPS is FP4 with sparsity; Apple's 38 TOPS is INT8 on the Neural Engine; Qualcomm's 80 TOPS is the NPU only. CUDA + TensorRT remains NVIDIA's structural advantage.

For consumers

A laptop that thinks ahead of you.

  • Private by design. Run a 120B-parameter model with a million-token context on your own machine. No data leaves the device.
  • Creative without compromise. Edit 12K 4:2:2 video, render 90GB+ 3D scenes, generate 4K AI video — on battery.
  • Gaming, too. 1440p AAA games at 100+ fps with DLSS 4.5 Ray Reconstruction and 1,000+ RTX-enabled titles.
  • All-day battery. Slim 14mm chassis, ~3 lb, tandem OLED displays with G-SYNC.
For businesses

Ship agents to every desk.

  • Compliance-friendly inference. Sensitive prompts stay on-device; OpenShell masks PII before any cloud hop.
  • Lower cloud spend. Frontier-class models run locally — agentic workflows no longer pay per token.
  • Native CUDA on Windows. The same TensorRT, RTX, and Reflex stack developers already use, on a laptop.
  • A clear upgrade path. Scale to DGX Station for Windows for trillion-parameter models on the same stack.
Voices

What the industry is saying.

"The PC is being reinvented. For forty years, you launched apps. Click. Type. With RTX Spark and Microsoft Windows, you ask — and the PC does the work. This is the new PC. The personal AI computer."
Jensen Huang
Founder & CEO, NVIDIA
"Our goal is to deliver unmetered intelligence to every home and every desk with Windows. RTX Spark marks a real breakthrough towards that vision."
Satya Nadella
Chairman & CEO, Microsoft
"The best creative work in the world happens in Adobe tools — and our expanded partnership with NVIDIA and Microsoft will make those experiences faster and more powerful than ever."
Shantanu Narayen
Chair & CEO, Adobe
"Creators shouldn't have to choose between portability and performance. With RTX Spark, Dell is delivering RTX performance and massive unified memory in the XPS 16 Creator Edition."
Michael Dell
Chairman & CEO, Dell Technologies
"Highly optimized models running locally through llama.cpp with RTX Spark's AI performance will unleash the next wave of personal, private agents."
Georgi Gerganov
Founder, llama.cpp