VLSI KoreaWorkload and traffic model
Fix precision and workload shape before comparing compute rates. Track external-memory bytes, shared-memory reuse and occupancy separately; a peak arithmetic rate is only one bound on useful throughput.
NVIDIA / SPECIMEN
NVIDIA GeForce 8800GTX G80
Optical die photograph of NVIDIA GeForce 8800GTX G80, photographed by Fritzchens Fritz from Berlin. Identification follows the linked photographer's caption. This is a documented photographic specimen, not a claim that every product with this name uses identical silicon. The original page contains the preparation, microscopy and capture details.
NVIDIA GeForce 8800GTX G80 DIE PHOTOGRAPH
1280 × 1222 PX SOURCE / 100%
Fritzchens Fritz from Berlin ·CC0· Die photograph · Commons 1280-pixel photographic derivative retained; additional responsive AVIF/WebP encodings. No crop, recoloring, generative edits or added watermark.
Origin & contributions
Original source · Retrieved not recorded
Fritzchens Fritz from Berlin · photographer · Included in this image
Attribution and license link retained for every photograph; separate per-file source metadata and acquisition hashes preserved.
Photographed specimen identified by its creator as NVIDIA GeForce 8800GTX G80. Optical die photograph. This image is not assigned to other SKUs or used to infer die dimensions.
Specifications
2 SOURCE-LINKED FIELDS| Photographed specimen | Published analysisWikimedia Commons · Fritzchens Fritz from Berlin Scope: physical-specimen |
|---|---|
| Photographic view | Published analysisWikimedia Commons · Fritzchens Fritz from Berlin Scope: physical-specimen |
Source-linked record
ARCHITECTURE → RTL → GDS
All design guides ↗Design with this record
Start with documented specifications, then use the study prompts below. The prompts are engineering guidance, not a claim about this product’s private RTL or physical implementation.
Contracts before RTL
Choose a representative producer/consumer path and specify acceptance, ordering, backpressure, outstanding capacity and reset recovery. Turn these contracts into assertions and test scenarios before optimizing the datapath.
A feasible physical plan
Obtain macro abstracts, pin maps, timing libraries and activity-based power estimates. Explore macro proximity, routing channels and power-grid reachability together. An annotated die photograph can suggest study questions, but cannot supply a netlist, PDK or signoff constraints.
Read the record in its physical scope.
Optical die photograph of NVIDIA GeForce 8800GTX G80, photographed by Fritzchens Fritz from Berlin. Identification follows the linked photographer's caption. This is a documented photographic specimen, not a claim that every product with this name uses identical silicon. The original page contains the preparation, microscopy and capture details.
This record has identification and source evidence. A deeper architectural article has not yet been written. Visible patterns alone do not establish block functions, capacity or an internal protocol.
THE VISUAL EVIDENCE
1 DOCUMENTED SOURCESVisual sources
Hosted image provenance · 1
Die photographHosted in Museum
NVIDIA GeForce 8800GTX G80 — Die photograph
Wikimedia Commons · Fritzchens Fritz from Berlin
4,037 × 3,853 pxTechnical archive / analysis
Photographed specimen identified by its creator as NVIDIA GeForce 8800GTX G80. Optical die photograph. This image is not assigned to other SKUs or used to infer die dimensions.
Link not yet checked
View original die photoRights, provenance & link history
- Rights status
- PUBLIC DOMAIN
- Licence
- CC0 ↗
- Local hosting / thumbnails / hotlinking
- Allowed / Allowed / Not enabled
- Attribution
- Fritzchens Fritz from Berlin / CC0 / Wikimedia Commons
- Identity / confidence
- matched / high
- Evidence reviewed
- 2026-09-06
- Link checked
- Not yet checked · unchecked
Access to a source does not grant permission to reproduce its images.
Source trail
NVIDIA GeForce 8800GTX G80 Stack-DSC04539-DSC04554 - ZS-PMax (23648913974).jpg ↗ · Wikimedia Commons · Fritzchens Fritz from Berlin