1× RTX 308010 GB VRAM
Nosana network, hosts worldwide
Details
Stock and price checked 7 min ago.
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nvidia-3080
Full price
€0.09
per hour, whole instance, 1 GPU
NVIDIA · Ampere
Rent RTX 3080
NVIDIA GeForce RTX 3080, 10 GB.inference smallRenderinggeneral ml
Full price from
€0.09
in stock, per GPU-hour, as 1×
Spot from
—
in stock, per GPU-hour
Offers in stock
1 of 1
full price or spot
Providers in stock
1 of 1
full price or spot
Offers (1)
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Price and availability history
Price per GPU-hour
Excluding VAT.
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Each provider counts once. Full price and spot are separate.
Share of offers in stock
Full price. Offers we can't say are really sold there are left out until they've been in stock once.
Units free
Only providers that report a number. Each line is one provider and one server size, because their counts cover different things and can't be added up. Providers that only say yes or no are under Stock by provider.
Stock by provider
In stock, yes or no, for every provider selling this GPU. A filled band means in stock: green at full price, orange as spot.
NosanaIn stock
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In stock as
The server sizes you can rent right now.
- Nosana
- 1×
Using several together
Can't be linked. This GPU has no NVLink, so several in one server only talk over PCIe. Each card keeps its own 10 GB. That suits running a separate job on each card. Splitting one model across them works, but slowly.
Specifications
Consumer card. Headline values are the 10 GB model; the 12 GB model has 8960 CUDA cores, a 384-bit bus, 350 W and 912 GB/s per TechPowerUp. Memory bandwidth and FLOPS figures for the 10 GB model come from NVIDIA's Ampere whitepaper (Table 2). No NVLink/SLI. FP16, BF16 and INT8 are with sparsity (FP16 with FP16 accumulate, BF16 with FP32 accumulate), following the RTX 3080 Ti entry. fp64Tflops is derived: NVIDIA states GA102 FP64 is 1/64th of FP32 (29.8 / 64). The 12 GB variant fp32Tflops is derived (8960 cores x 2 x 1.71 GHz boost = 30.6). NVIDIA's Blackwell whitepaper lists RTX 3080 FP32 as 34.1 TFLOPS, which contradicts its own 29.8 TF32 row and the Ampere whitepaper's 29.8; 29.8 is used. TechPowerUp's launch article states 19.5 Gbps for the 12 GB model, but its 912 GB/s figure matches 19 Gbps on 384 bits.
Memory
- VRAM
- 10 GB
- Memory type
- GDDR6X
- Memory bandwidthHow fast the GPU reaches its memory. Often limits LLM speed
- 760 GB/s
- Bus width
- 320 bit
Compute
- FP64Speed at 64-bit precision, used for scientific simulation
- 0.47 TFLOPS
- FP32Speed at 32-bit precision
- 29.8 TFLOPS
- FP16Speed at 16-bit precision
- 238 TFLOPS
- BF1616-bit AI format. Standard for training and full-quality inference
- 119 TFLOPS
- INT88-bit integer speed, used by quantized models
- 476 TOPS
- FP8 support
- No
- FP4 support
- No
- Transformer EngineHardware that speeds up FP8 and FP4
- No
- Compute cores
- 8,704
Multi-GPU and connectivity
- NVSwitchLets every GPU in a server talk to every other at full speed
- No
- PCIe generation
- 4
Sharing and security
- MIG partitioningSplits one GPU into several isolated smaller GPUs
- No
- Max MIG instances
- 0
- Confidential computing
- No
Hardware
- Architecture
- Ampere
- Launch year
- 2020
- Process node
- Samsung 8N
- Transistors
- 28.3 billion
- Die size
- 628.4 mm²
- Power (TDP)Maximum power draw
- 320 W
- Cooling
- active
Video
- NVENC engines
- 1
- NVDEC engines
- 1
- AV1 encode
- No
- AV1 decode
- Yes
Sources (39)
- https://www.nvidia.com/en-us/geforce/graphics-cards/30-series/rtx-3080-3080ti/
- https://nvidianews.nvidia.com/news/nvidia-delivers-greatest-ever-generational-leap-in-performance-with-geforce-rtx-30-series-gpus
- https://docs.nvidia.com/datacenter/tesla/mig-user-guide/supported-gpus.html
- https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/
- https://docs.nvidia.com/590trd1-trusted-computing-solutions-release-notes.pdf
- https://www.nvidia.com/en-us/geforce/graphics-cards/compare/
- https://developer.nvidia.com/video-encode-decode-support-matrix
- https://www.nvidia.com/content/PDF/nvidia-ampere-ga-102-gpu-architecture-whitepaper-v2.pdf
- https://www.techpowerup.com/290790/nvidia-launches-geforce-rtx-3080-12gb-graphics-card
- https://developer.nvidia.com/blog/nvidia-hopper-architecture-in-depth/
- https://developer.nvidia.com/blog/inside-nvidia-blackwell-ultra-the-chip-powering-the-ai-factory-era/