The question people actually mean to ask when they type "DGX Spark vs RTX PRO 6000" isn't which GPU is faster. On the one benchmark that measured both machines against the same workload, RTX PRO 6000 Blackwell decodes tokens roughly 4x faster than DGX Spark. It's also a $8,565-to-$16,000 card with no computer attached to it, against DGX Spark's $6,950 as a box you can plug in and start using the same afternoon.
TL;DR: DGX Spark vs RTX PRO 6000 Blackwell for Local AI
RTX PRO 6000 Blackwell wins on raw speed and memory bandwidth; DGX Spark wins on being a complete machine you don't have to build a PC around.
- Speed: On GPT-OSS 20B (MXFP4), LMSYS measured RTX PRO 6000 Blackwell decoding at 215 tok/s against DGX Spark's 49.7 tok/s, roughly 4x faster.
- Memory: DGX Spark packs 128GB of unified LPDDR5x at 273 GB/s; RTX PRO 6000 Blackwell packs 96GB of GDDR7 ECC at 1.79 TB/s, over 6x the bandwidth.
- Price: DGX Spark's 128GB unit now lists at $6,950 as a complete standalone box; RTX PRO 6000 Blackwell launched at $8,565 and runs near $16,000 at retail in October 2026, for the card alone.
- Spheron: rents RTX PRO 6000 Blackwell at $2.35/hr on-demand, so you can run these same benchmarks on your own models before buying either box. Check RTX PRO 6000 rental availability.
Specs Side by Side: 128GB Unified Memory vs 96GB GDDR7
DGX Spark and RTX PRO 6000 Blackwell solve the memory problem from opposite directions. DGX Spark's GB10 Grace Blackwell Superchip pairs a 20-core Arm CPU with the GPU on one package, sharing a single 128GB pool of LPDDR5x memory across both at 273 GB/s. RTX PRO 6000 Blackwell is a pure GPU: 96GB of its own GDDR7 ECC memory on a GB202 die, running at 1.79 TB/s, more than six times DGX Spark's bandwidth, but with no CPU, RAM controller, or storage of its own attached to it.
| Spec | DGX Spark (128GB) | RTX PRO 6000 Blackwell |
|---|---|---|
| Memory | 128GB unified LPDDR5x, coherent with the CPU | 96GB GDDR7 ECC |
| Memory bandwidth | 273 GB/s | 1.79 TB/s |
| Compute | Up to 1 petaFLOP FP4 (with sparsity) | 24,064 CUDA cores on the full GB202 die |
| Chip | GB10 Grace Blackwell Superchip (Arm CPU + GPU) | GB202 Blackwell GPU only |
| Networking | ConnectX-7 at 200 Gbps, clusters up to 4 units | None; PCIe Gen 5 x16 only, no NVLink |
| Form factor | Standalone desktop unit | PCIe add-in card, needs a host PC |
| Price (Oct 2026) | $6,950, complete unit | $8,565 MSRP, roughly $16,000 at retail, card only |
The practical read on that table: RTX PRO 6000 Blackwell's extra bandwidth matters most when a model already fits in 96GB and the bottleneck is how fast you can read its weights back out for every token. DGX Spark's unified pool matters most when the model, or several models and an agent runtime running alongside it, needs more than 96GB and a GPU-only card simply can't hold it. RTX PRO 6000 Blackwell has no equivalent: it's a single card with no NVLink to another GPU, so scaling past 96GB means PCIe-bound multi-GPU software tricks, not a clean memory pool.
Tokens Per Second: GPT-OSS 20B Measured on Both
RTX PRO 6000 Blackwell is roughly four times faster than DGX Spark on the one benchmark that ran both devices through the identical workload. LMSYS's DGX Spark review put GPT-OSS 20B at MXFP4 quantization through Ollama on both machines and measured DGX Spark at 2,053 tok/s prefill / 49.7 tok/s decode against RTX PRO 6000 Blackwell's 10,108 tok/s prefill / 215 tok/s decode.
| Model (quantization) | DGX Spark | RTX PRO 6000 Blackwell |
|---|---|---|
| GPT-OSS 20B (MXFP4), prefill | 2,053 tok/s | 10,108 tok/s |
| GPT-OSS 20B (MXFP4), decode | 49.7 tok/s | 215 tok/s |
Prefill is the compute-bound phase that sets your time-to-first-token; decode is the bandwidth-bound phase that streams the rest of the response one token at a time, which is why RTX PRO 6000 Blackwell's 1.79 TB/s advantage shows up almost exactly as a 4x gap on both numbers. For the full tokens-per-second breakdown across model sizes, including where DGX Spark's 128GB pool catches up on models too large for a 96GB card, our DGX Spark vs RTX 5090 comparison runs the same LMSYS data against the cheaper consumer GPU that shares RTX PRO 6000 Blackwell's die.
RTX PRO 6000 Blackwell's 96GB also means it isn't limited to small models. StorageReview's LM Studio testing measured the RTX PRO 6000 producing 163.1 tokens per second and completed the 500-word generation in 9.54 seconds on GPT-OSS 120B. The same tests put Llama 3.1 8B Instruct at 197.1 tokens per second and a total time of 4.17 seconds for a short interactive response. Our RTX PRO 6000 benchmarks on 30B and 70B models go further into cost per million tokens against an H100 and a 4x RTX 4090 setup for readers deciding whether the extra bandwidth is worth paying for.
Price and Power Draw: the Real Cost to Run Each Box
DGX Spark's 128GB Founders Edition now lists at $6,950, up sharply from its original $3,999 launch price. ServeTheHome's reporting on the price jump traces it to DRAM cost pressure: "the NVIDIA DGX Spark 128GB/ 4TB launched at $3999 about a year ago. The new price is $6950 for that model." That $6,950 buys a complete, standalone computer: CPU, memory, storage, networking, and the GPU, all in one box with nothing else to source.
RTX PRO 6000 Blackwell's sticker price looks competitive by comparison until you remember it's for the card alone. Thunder Compute's pricing roundup found "NVIDIA's official marketplace lists the RTX PRO 6000 Blackwell at $16,000, an 87% increase over its $8,565 launch price in March 2025." Whichever end of that range you land on, you still need to build or already own a PC capable of feeding a 600W card: a CPU, motherboard, RAM, a PSU with real headroom above that 600W configurable TDP, and a case with the airflow to exhaust it, all bought separately and not included in either price. NVIDIA also sells a Max-Q variant at a reduced 300W TDP with a blower-style cooler for tighter chassis, which trims the power and cooling demand but not the fact that it's still a card, not a computer.
Power draw tells the same story from a different angle. RTX PRO 6000 Blackwell's GPU alone can pull up to 600W under its configurable TDP. DGX Spark's entire system, GPU, Arm CPU, networking, and storage combined, is capped at 240W, and NVIDIA staff clarified in a developer forum thread that even that figure overstates the GPU's own share: "Spark GPU can draw a max of 120W and the rest of the system including CPU, CX7 and peripherals can draw 100W. The power supply is rated for 240 Watt of peak draw." A DGX Spark running flat out draws less power total than RTX PRO 6000 Blackwell's GPU alone draws at idle-to-moderate load.
That shared power budget has a real cost under sustained load, which is worth knowing before you plan an unattended overnight job on an uncapped unit. Independent testing on a GB10 unit logged the SM clock falling from a default near 2,450 MHz to as low as 1,475 MHz under continuous load, with the GPU peaking at 96.0°C before the job hard-powered off; the same workload with the clock capped at 2,200 MHz peaked at a cooler 91.1°C and finished the run instead of crashing. Our DGX Spark thermal throttling and power draw deep dive covers the full clock-and-temperature data and the exact nvidia-smi command that fixes it.
Neither box is built for gaming, despite RTX PRO 6000 Blackwell sharing its GB202 silicon with the consumer RTX 5090. DGX Spark's Arm-based Grace CPU and Linux-focused developer OS rule out the native PC game library outright, and RTX PRO 6000 Blackwell ships with NVIDIA's workstation driver stack tuned for professional visualization and AI compute rather than game-optimized GeForce drivers, at a price far above what the RTX 5090 already charges for frame rate.
DGX Spark vs RTX PRO 6000: Which to Buy, and When to Just Rent
| Your situation | Buy this |
|---|---|
| Models already fit in 96GB, want the fastest decode on one card | RTX PRO 6000 Blackwell |
| Need 128GB+ with no separate PC to assemble | DGX Spark |
| Already own a workstation with a free PCIe slot and a beefy PSU | RTX PRO 6000 Blackwell is the marginal cost; DGX Spark duplicates a computer you have |
| Want neither sticker price up front | Spheron rents RTX PRO 6000 Blackwell by the minute, on-demand or spot |
If you already own a workstation with a free PCIe 5.0 slot and a PSU with headroom to spare, RTX PRO 6000 Blackwell's real cost is close to its card price, and its 1.79 TB/s of bandwidth is the better buy for models under 96GB. If you don't, and you're pricing the two as complete solutions, DGX Spark's $6,950 against RTX PRO 6000 Blackwell's $8,565-to-$16,000 card plus a host PC built around it is a much closer contest than the raw tokens-per-second numbers suggest. For a third option in the same unified-memory class that isn't NVIDIA silicon, our AMD Strix Halo vs DGX Spark comparison measures the Ryzen AI Max+ 395 against the same GB10 numbers used here.
Renting either GPU before buying is the cheapest way to find out which one your actual models need. It doesn't replace either box for offline, private, always-on desk-side inference with no meter running, and spot capacity can be reclaimed without notice, a bad fit for an unattended overnight fine-tuning job either box would finish uninterrupted. Our DGX Spark vs renting a cloud GPU breakdown works through the hours-of-use math for when a desk unit's one-time cost stops beating an hourly rental.
Whichever box fits your memory and budget, Spheron's RTX PRO 6000 Blackwell instances are the cheapest way to confirm it with your own models first.
Pricing fluctuates based on GPU availability. Spheron rates above are live as of 01 Nov 2026; other hardware prices reflect their most recently published figures and may have changed. Check current GPU pricing → for live rates.
Frequently Asked Questions
No. On GPT-OSS 20B (MXFP4) in Ollama, LMSYS measured DGX Spark decoding at 49.7 tok/s against the RTX PRO 6000 Blackwell's 215 tok/s, roughly a 4x gap, with the RTX PRO 6000 also well ahead on prefill (10,108 tok/s versus 2,053 tok/s). DGX Spark's advantage isn't speed, it's that it's a complete standalone computer rather than a card you still have to build a PC around.
DGX Spark's 128GB Founders Edition now lists at $6,950, up from its original $3,999 launch price, as a complete, ready-to-run unit. RTX PRO 6000 Blackwell Workstation Edition launched at an $8,565 MSRP in March 2025 and is listed around $16,000 at major retailers as of October 2026, and that figure is for the card alone; you still need a CPU, motherboard, RAM, PSU, and case to run it. On Spheron, the same GPU rents for $2.35/hr on-demand ($1.14/hr spot) as of 01 Nov 2026, no purchase required.
Yes. It's a PCIe add-in card with no onboard CPU, memory controller for system RAM, or power supply of its own; it needs a host PC to plug into, with its own CPU, motherboard, RAM, case, and a PSU sized for its 600W configurable TDP. DGX Spark is the opposite: a self-contained desktop unit built around the GB10 Grace Blackwell Superchip, with its own Arm CPU, storage, and networking already inside the box.
Neither is built for it. DGX Spark runs on an Arm-based Grace CPU under a Linux-focused developer OS, which rules out the native Windows PC game library outright. RTX PRO 6000 Blackwell shares its GB202 die with the consumer RTX 5090, so it has the silicon for it, but it ships with NVIDIA's workstation driver stack aimed at professional visualization and compute rather than game-tuned GeForce drivers, and its price puts it well outside what any gamer would pay for the frame rate a 5090 already delivers for a fraction of the cost.
