GPU comparison

GeForce RTX 5080 vs RTX 6000 Ada

Compared on the specs that decide a purchase: memory, bandwidth, power, and which workloads each card actually fits — gaming, creative, or local models when that is the job.

Specifications verified October 2, 2026. Launch MSRP is not today's price — in September 2026 the memory shortage pushed street prices 1.2×–3× above it; the notes row below carries a dated lowest UK/US price where we have one.

NVIDIA

GeForce RTX 5080

16GB VRAM · 960 GB/s

NVIDIA

RTX 6000 Ada

48GB VRAM · 960 GB/s

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GPU specification, memory, bandwidth, and price comparison
Specification	GeForce RTX 5080	RTX 6000 Ada
Vendor
Vendor	NVIDIA	NVIDIA
Memory
Memory	16GB	Winner: 48GB
Usable for a model
Usable for a model	16GB	Winner: 48GB
Bandwidth
Bandwidth	960 GB/s	960 GB/s
Segment
Segment	consumer	workstation
Released
Released	January 30, 2025	Not verifiedUnverified
Launch MSRP
Launch MSRP	~$999~£740	No launch MSRP published
Notes
Notes	16GB GDDR7; NVIDIA specifies 960GB/s theoretical bandwidth. Launch starting price $999 and announced availability January 30, 2025. Local-model fit is a planning estimate; model files, context, cache, backend and driver support determine actual memory use and speed.	NVIDIA specifies 48GB GDDR6 ECC, 960GB/s bandwidth and a dual-slot full-height board. Announced September 20, 2022, with distribution planned from December; the exact shipment day and a manufacturer launch MSRP are unverified here. The site's fit labels are memory estimates, not runtime or speed measurements. Compare current partner prices and the exact software stack.
UK street price
UK street price	Search Amazon (opens in new tab)	Search Amazon (opens in new tab)

Local models

Estimated local-model fit

Planning estimates from published VRAM and a weights-plus-overhead heuristic. Context length, KV cache, quantization and runtime can change actual memory needs.

Local model fit comparison for both GPUs
Model	GeForce RTX 5080 (est.)	RTX 6000 Ada (est.)
Qwen 3 4B4B parameters
Qwen 3 4B4B parameters	Est. fit	Est. fit
Qwen 3.8 27B27B parameters
Qwen 3.8 27B27B parameters	Est. no fit	Est. fit
Gemma 4 31B30.7B parameters
Gemma 4 31B30.7B parameters	Est. no fit	Est. fit
Llama 3.1 8B Instruct8B parameters
Llama 3.1 8B Instruct8B parameters	Est. fit	Est. fit
Qwen 3 14B14.8B parameters
Qwen 3 14B14.8B parameters	Est. fit	Est. fit
Gemma 3 27B27B parameters
Gemma 3 27B27B parameters	Est. no fit	Est. fit
Qwen 3 30B-A3B30.5B parameters
Qwen 3 30B-A3B30.5B parameters	Est. no fit	Est. fit
Qwen 3 32B32.8B parameters
Qwen 3 32B32.8B parameters	Est. no fit	Est. fit
Llama 3.3 70B70B parameters
Llama 3.3 70B70B parameters	Est. no fit	Est. tight
Muse Glimmer 30B29.6B parameters
Muse Glimmer 30B29.6B parameters	Est. no fit	Est. fit
Mixtral 8x22B141B parameters
Mixtral 8x22B141B parameters	Est. no fit	Est. no fit
Qwen 3 235B-A22B235B parameters
Qwen 3 235B-A22B235B parameters	Est. no fit	Est. no fit
Qwen 3 Coder 480B-A35B480B parameters
Qwen 3 Coder 480B-A35B480B parameters	Est. no fit	Est. no fit
DeepSeek V4-Flash284B parameters
DeepSeek V4-Flash284B parameters	Est. no fit	Est. no fit

Common questions

GeForce RTX 5080 vs RTX 6000 Ada

Answered from the verified figures on this page rather than general guidance.

Which is better for high-refresh gaming, GeForce RTX 5080 or RTX 6000 Ada?

Neither has a clear edge on paper — 960 GB/s against 960 GB/s is too close to call from specs alone. Compare dated game tests at your target resolution and verify VRAM (16GB usable on GeForce RTX 5080, 48GB on RTX 6000 Ada).

Which has more VRAM for gaming and creative work, GeForce RTX 5080 or RTX 6000 Ada?

RTX 6000 Ada — 48GB usable against 16GB on GeForce RTX 5080. Extra memory helps texture mods, video timelines, and 3D scenes before it helps esports frame rates.

For local inference only — which holds larger models, GeForce RTX 5080 or RTX 6000 Ada?

RTX 6000 Ada. With 48GB usable against 16GB it additionally holds Qwen 3.8 27B, Gemma 4 31B, Gemma 3 27B, Qwen 3 30B-A3B, Qwen 3 32B, Llama 3.3 70B, Muse Glimmer 30B at Q4.

For local inference only — is GeForce RTX 5080 or RTX 6000 Ada faster at generating tokens?

Neither meaningfully — 960 GB/s against 960 GB/s is too close to notice. Token throughput will be similar once a model fits, so decide on memory capacity instead.

For local inference only — can either run a 70B model?

RTX 6000 Ada can, at Q4 — a 70B model needs about 48GB including runtime overhead. GeForce RTX 5080 does not have the memory. Expect little headroom for long context.

If one card holds a model the other cannot, that capacity difference usually outweighs a bandwidth advantage. A model that spills to system memory can be substantially slower, but the actual impact depends on the backend, transfer path, context, and workload.

All GPU comparisons Compare hosted models instead