Flopper.io Flopper.io
vs OpenAI logo

NVIDIA GB200 NVL72 GPU 186GB vs OpenAI Jalapeño

The GB200 delivers 47% more FP8 throughput than the Jalapeño (5,000 vs 3,400 TFLOPS dense). The Jalapeño counters with 30 GB more memory (216 GB vs 186 GB).

GB200: Blackwell, 2024 Jalapeño: Jalapeño, 2026
FP8 dense lead
+47%
GB200: 5,000 vs 3,400 TFLOPS
Memory
186 vs 216 GB
30 GB more for the Jalapeño
Bandwidth
8.0 TB/s vs 15.4 TB/s
Jalapeño moves data faster
See rental pricing from $10.50/hr Download comparison sheet

Share this page

NVIDIA GB200 NVL72 GPU 186GB vs OpenAI Jalapeño

A post with this link shows the card on the Image tab as its preview.

Post on X Share on LinkedIn
 Printable version →

NVIDIA GB200 NVL72 GPU 186GB

Leads on FP8 Full specs →

What is the NVIDIA GB200?

The GB200 is a GPU from NVIDIA on the Blackwell architecture, an accelerator for AI training, inference and high-performance computing. It is an SXM module, the mezzanine format used in dense multi-GPU servers. GB200 full specifications →

Can I rent the GB200 in the cloud?

Yes. Cloud providers tracked by Flopper rent the GB200 by the hour, and the pricing page compares their current rates and the price history side by side. GB200 rental prices →

How does the GB200 compare with other accelerators?

This page sets the GB200 against the Jalapeño. The GB200 is the older generation of the two. This is a cross-vendor matchup, NVIDIA against OpenAI. Flopper also compares it head to head with the GB300 NVL72 GPU 288GB, across every published precision, memory and power. GB200 vs GB300 NVL72 GPU 288GB →

Where do the GB200 figures come from?

Every GB200 figure on this page traces to NVIDIA's own datasheet or specification table. How Flopper verifies specifications →

OpenAI logo

OpenAI Jalapeño

Full specs →

What is the OpenAI Jalapeño?

The Jalapeño is an ASIC from OpenAI on the Jalapeño architecture, an accelerator built for AI workloads. It has been announced but is not yet shipping. Jalapeño full specifications →

Can I rent the Jalapeño in the cloud?

Flopper is not tracking any live rental listings for the Jalapeño yet. The provider directory lists the clouds that rent comparable accelerators on demand. GPU cloud providers →

How does the Jalapeño compare with other accelerators?

This page sets the Jalapeño against the GB200. The Jalapeño is the newer generation of the two. This is a cross-vendor matchup, OpenAI against NVIDIA. Flopper also compares it head to head with the GB300 NVL72 GPU 288GB and Maia 200, across every published precision, memory and power. Jalapeño vs GB300 NVL72 GPU 288GB →

Where do the Jalapeño figures come from?

OpenAI published the Jalapeño figures in marketing material rather than a datasheet, and Flopper has no independent confirmation of them. How Flopper verifies specifications →

Specifications

GB200
OpenAI logo
Jalapeño
Architecture
BlackwellJalapeño
Launch Year
20242026
Form Factor
SXMCustom
Memory
186 GB216 GB
Memory Bandwidth
8.0 TB/s15.4 TB/s
TDP
—700 W
Process Node
4nm—

Performance (TFLOPS)

GB200
OpenAI logo
Jalapeño
40 TFLOPS No verified data available
80 TFLOPS No verified data available
1,250 TFLOPS
2,500 TFLOPS sparse
 No verified data available
2,500 TFLOPS
5,000 TFLOPS sparse
 No verified data available
2,500 TFLOPS
5,000 TFLOPS sparse
 No verified data available
5,000 TFLOPS
10,000 TFLOPS sparse
3,400 TFLOPS
FP6
5,000 TFLOPS
10,000 TFLOPS sparse
 No verified data available
10,000 TFLOPS
20,000 TFLOPS sparse
13,400 TFLOPS
5,000 TOPS
10,000 TOPS sparse
 No verified data available

Figures are dense. Where a vendor publishes a figure it sits under the dense one and never decides a winner. Hover any precision for its definition, or read the GPU glossary.

FLOPS by Precision

What actually differs

The Jalapeño is the newer part: Jalapeño (2026) against the GB200's Blackwell (2024).

The Jalapeño carries 30 GB more memory (216 GB against 186 GB), so larger models fit on one GPU before you shard. Bandwidth is 8.0 TB/s against 15.4 TB/s, which sets the ceiling on decode speed.

Weight the FP8 and FP16 rows for LLM work and the FP64 row for HPC.

New to the terms? The glossary explains FP64, FP32, TF32, BF16, FP16, FP8, FP4, INT8, Sparsity and TFLOPS. For how the generations relate, see NVIDIA architectures explained.

Frequently asked questions

Is the GB200 faster than the Jalapeño?

At FP8 precision the GB200 reaches 5,000 TFLOPS dense against 3,400 TFLOPS for the Jalapeño. The performance table on this page lists every published precision for both GPUs.

Which should you choose, the GB200 or the Jalapeño?

Choose the GB200 for training and high-throughput inference: it has 47% more FP8 throughput than the Jalapeño. Choose the Jalapeño when the model has to fit on one GPU: it carries 30 GB more memory.

Which has more memory, the GB200 or the Jalapeño?

The Jalapeño carries 216 GB of memory versus 186 GB for the GB200. Memory bandwidth is 8.0 TB/s for the GB200 and 15.4 TB/s for the Jalapeño.

How much do the GB200 and the Jalapeño cost to rent?

Live cloud listings tracked by Flopper price the GB200 from $10.50 per GPU-hour across 2 providers, and no live listings yet for the Jalapeño. The rental section on this page links to every provider, rate and the price history for each GPU.

Where to Rent

NVIDIA GB200 NVL72 GPU 186GB

Rent from

$10.50 / GPU-hr

Lowest of 2 live listings across 2 providers

See all GB200 rental prices →

Price history and every provider on the pricing page. Some links are affiliate links.

OpenAI logo

OpenAI Jalapeño

No live rental listings tracked for the Jalapeño yet.

Browse GPU cloud providers

Get Comparison Updates

New GPUs added weekly. Be the first to see how they compare.

Open in Full Compare Tool → GB200 full specs Jalapeño full specs Estimate cluster cost in the calculator →

© 2026 Flopper.io - Compare the GPUs Powering AI