RTX 3090 · 3080 Ti · 3080 · 3070 Ti · 3070

RTX 30 Series — five cards, 8 GB to 24 GB

Ampere consumer silicon from 2020, still racked and still rented, because nothing has replaced what it is actually good at: the most arithmetic per pound in the catalogue. The only question worth a page is which of the five, and the honest answer usually turns on one number — how much memory you need.

8, 10, 12 and 24 GB No ECC One encoder, no AV1

Which of the five

Cheapest first. Read down until the memory column holds what you need, then stop — the cards above it are faster at the same job, not capable of a different one.

Cheapest complete machine first. Every figure read from the order catalogue when this page was served.
CardCard memoryThe cardCheapest complete machine
RTX 30708 GB GDDR6$139$209.93
RTX 3070 Ti8 GB GDDR6X$149$222.47
RTX 308010 GB GDDR6X$159$229.93
RTX 3080 Ti12 GB GDDR6X$199$272.47
RTX 309024 GB GDDR6X$239$309.93

The trap in the middle of that table

Our RTX 3080 is the original 10 GB card, the one with 8,704 CUDA cores. NVIDIA later shipped a 12 GB revision with 8,960, and a great many listings elsewhere quote the 12 GB figure beside the cheaper card. Ten gigabytes is not twelve: it is the difference between holding a thirteen-billion-parameter model at eight-bit precision and not holding it. If you are sizing against a number you read somewhere else, size against ours.

The other one to watch is the step from the 3080 Ti to the 3090. It is the largest capacity jump on the ladder — twelve gigabytes to twenty-four — and it is the only one of the five that clears 24 GB. If you need that, nothing cheaper on this page will do, and the alternatives are on the whole catalogue, priced.

The specifications, as NVIDIA publishes them

Second-generation ray-tracing cores, third-generation tensor cores, PCIe Gen 4 throughout. Figures from NVIDIA’s own GeForce comparison pages, cited in the source of this page.

RTX 3090

Architecture

Ampere

Card memory

24 GB GDDR6X

CUDA cores

10,496

Memory bandwidth

936 GB/s

Board power

350 W

Card interface

PCIe Gen 4 x16

Hardware video encoders

1 NVENC, 1 NVDEC, no AV1 encode

Error-correcting memory

No

RTX 3080 Ti

Architecture

Ampere

Card memory

12 GB GDDR6X

CUDA cores

10,240

Memory bandwidth

912 GB/s

Board power

350 W

Card interface

PCIe Gen 4 x16

Hardware video encoders

1 NVENC, 1 NVDEC, no AV1 encode

Error-correcting memory

No

RTX 3080

Architecture

Ampere

Card memory

10 GB GDDR6X

CUDA cores

8,704

Memory bandwidth

760 GB/s

Board power

320 W

Card interface

PCIe Gen 4 x16

Hardware video encoders

1 NVENC, 1 NVDEC, no AV1 encode

Error-correcting memory

No

RTX 3070 Ti

Architecture

Ampere

Card memory

8 GB GDDR6X

CUDA cores

6,144

Memory bandwidth

608 GB/s

Board power

290 W

Card interface

PCIe Gen 4 x16

Hardware video encoders

1 NVENC, 1 NVDEC, no AV1 encode

Error-correcting memory

No

RTX 3070

Architecture

Ampere

Card memory

8 GB GDDR6

CUDA cores

5,888

Memory bandwidth

448 GB/s

Board power

220 W

Card interface

PCIe Gen 4 x16

Hardware video encoders

1 NVENC, 1 NVDEC, no AV1 encode

Error-correcting memory

No

What they are good at, and what they are not

These cards are six years old and we have not retired them, because for a large share of real work they remain the correct purchase rather than the compromise.

Good at: cheap capacity

The RTX 3090 carries the same 24 GB as the RTX 4090 D two generations later, for less money every month. When capacity is what you are buying and wall-clock speed is not the binding constraint, the older card is simply the better purchase.

Good at: game servers and batch work

Consumer silicon is what consumer software is written and tested against. Game servers, batch rendering, hobby fine-tuning, inference you can re-run — anything where a wrong bit is a retry rather than a disaster — runs here for a fraction of the professional-shelf price.

Bad at: modern video pipelines

One encoder and one decoder per card, and no AV1 encoding on any of the five — AV1 encode arrives with the RTX 40 series. If your pipeline is AV1, this generation cannot do it in hardware and the answer is an RTX 4090 D or an L40S instead.

Bad at: long unattended runs

No error-correcting memory on any of them, and no certified professional driver. For a run measured in weeks with no checkpointing, or for software licensed to professional cards only, take a card from the workstation shelf instead.

Which machine they go in, and what link they get there

Every RTX 30 card is a PCIe Gen 4 part. Three of the four platforms that take them are Gen 3, and one is Gen 4.

Intel Xeon E5-2600 v1/v2

RTX 3090, RTX 3080, RTX 3070

Slot: PCIe 3.0, 40 lanes per socket. Card: PCIe Gen 4.

About half the bus the card was designed for. That costs a training loop streaming batches off the host; it costs an inference server or a transcoder nothing, because the weights are already on the card.

Intel Xeon E5-2600 v3/v4

RTX 3090, RTX 3080 Ti, RTX 3080, RTX 3070 Ti, RTX 3070

Slot: PCIe 3.0, 40 lanes per socket. Card: PCIe Gen 4.

About half the bus the card was designed for. That costs a training loop streaming batches off the host; it costs an inference server or a transcoder nothing, because the weights are already on the card.

Intel Xeon Silver / Gold

RTX 3090, RTX 3080 Ti, RTX 3080, RTX 3070 Ti, RTX 3070

Slot: PCIe 3.0, 48 lanes per socket. Card: PCIe Gen 4.

About half the bus the card was designed for. That costs a training loop streaming batches off the host; it costs an inference server or a transcoder nothing, because the weights are already on the card.

AMD EPYC

RTX 3080

Slot: PCIe 4.0, 128 lanes per socket. Card: PCIe Gen 4.

Full width. The slot is at least the generation the card was designed for, so nothing is left on the table.

For this generation the slot rarely decides anything: a card that holds its own scene or its own weights barely touches the bus once it is loaded, and these are not cards anyone streams enormous training batches to. It is recorded here because it is true and because we publish it for every card, not because it should change your mind.

What actually fits: the 24 GB card at the top of the ladder

Weights only, rounded up. A row counts as fitting when it leaves a fifth of the card’s 24 GB free for the KV cache, the activations and the runtime — which is head-room, not luxury.
Model16-bit8-bit4-bit
7-8 billion parameters16 GB — fits8 GB — fits5 GB — fits
13-14 billion parameters28 GB — does not fit14 GB — fits8 GB — fits
30-34 billion parameters68 GB — does not fit34 GB — does not fit19 GB — fits
70 billion parameters140 GB — does not fit70 GB — does not fit38 GB — does not fit

Read that table down a rung for each step down the ladder. The 3080 Ti holds twelve gigabytes, the 3080 ten, the 3070 Ti and 3070 eight apiece — so a seven-to-eight-billion-parameter model at eight-bit precision is roughly where the bottom of this page lands, and everything larger wants the 3090 or a different shelf entirely.

What they cost, with the machines they go in

The card is one line on the invoice and the machine is another. Both halves below come from one reading of the order catalogue, so the price and the specification beside it always belong to each other.

Read from the order catalogue when this page was served. The card is a separate line; the machine does not get dearer because of what is plugged into it.
CardThe machine it goes inThe cardComplete, per month
RTX 3070Intel Xeon E5-2600 v1/v2
Intel Xeon E5-2630L Hex Core 2.00 GHz · 32 GB DDR3 · 2 × SATA 500 GB (RAID 1) · 500 Mbps · PCIe 3.0
$139$209.93
Configure this build →
RTX 3070Intel Xeon E5-2600 v3/v4
Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps · PCIe 3.0
$139$212.47
Configure this build →
RTX 3070 TiIntel Xeon E5-2600 v3/v4
Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps · PCIe 3.0
$149$222.47
Configure this build →
RTX 3070Intel Xeon Silver / Gold
Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps · PCIe 3.0
$139$222.67
Configure this build →
RTX 3080Intel Xeon E5-2600 v1/v2
Intel Xeon E5-2630L Hex Core 2.00 GHz · 32 GB DDR3 · 2 × SATA 500 GB (RAID 1) · 500 Mbps · PCIe 3.0
$159$229.93
Configure this build →
RTX 3080Intel Xeon E5-2600 v3/v4
Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps · PCIe 3.0
$159$232.47
Configure this build →
RTX 3070 TiIntel Xeon Silver / Gold
Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps · PCIe 3.0
$149$232.67
Configure this build →
RTX 3080Intel Xeon Silver / Gold
Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps · PCIe 3.0
$159$242.67
Configure this build →
RTX 3080 TiIntel Xeon E5-2600 v3/v4
Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps · PCIe 3.0
$199$272.47
Configure this build →
RTX 3080 TiIntel Xeon Silver / Gold
Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps · PCIe 3.0
$199$282.67
Configure this build →
RTX 3090Intel Xeon E5-2600 v1/v2
Intel Xeon E5-2630L Hex Core 2.00 GHz · 32 GB DDR3 · 2 × SATA 500 GB (RAID 1) · 500 Mbps · PCIe 3.0
$239$309.93
Configure this build →
RTX 3090Intel Xeon E5-2600 v3/v4
Intel Xeon E5-2620 v4 Octo Core 2.10 GHz · 32 GB DDR4 · 2 × SATA 500 GB (RAID 1) · 1 Gbps · PCIe 3.0
$239$312.47
Configure this build →
RTX 3090Intel Xeon Silver / Gold
Intel Xeon Silver 4110 8 Core 2.10 GHz · 16 GB DDR4 · 2 × SATA-SSD 240 GB (RAID 1) · 1 Gbps · PCIe 3.0
$239$322.67
Configure this build →
RTX 3080AMD EPYC
AMD EPYC 7413 24 CORE 2.65 GHz 128MB L3 CACHE · 32 GB DDR4 · 1 × SATA-SSD 240 GB · 1 Gbps · PCIe 4.0
$159$376.59
Configure this build →

Bandwidth is unmetered in both directions with no egress charge, one IPv4 address is included, there is no contract and one month is the default term. For every other card we fit, priced the same way, read the whole catalogue, priced. For machines racked and ready today, /instant. For why we still rent hardware everyone else retired, /value.

Questions people actually ask about this generation

Is your RTX 3080 the 10 GB card or the 12 GB card?

The 10 GB card, with 8,704 CUDA cores — the original launch part. The 12 GB revision has 8,960 cores and we do not fit it. This matters more than the two gigabytes suggest, because a thirteen-billion-parameter model at eight-bit precision needs about fourteen gigabytes and clears neither, while a smaller model clears both comfortably.

Why rent a 2020 card at all?

Because most GPU work is not training a frontier model. It is serving something that already fits, encoding video, rendering frames or running a game server, and for all of those the right card is often two generations back at a fraction of the money. The RTX 3090 holds the same twenty-four gigabytes as a card two generations newer. That is the whole argument, and /value makes the longer version of it.

Can I put two of them in one machine?

It is a build we quote rather than a box you tick, because the count depends on the chassis, the physical width of the card and the power budget. Ask, and the reply names the chassis, the count and the lead time. Note that two cards are two separate memory pools: a model that does not fit in one 3090 does not fit in two without being split across them deliberately.

Is the card shared with anyone else?

No. One tenant per physical machine, and the card is passed straight through to your own operating system — no hypervisor, no partition, no time-slicing. You install and pin your own driver and CUDA release, and nothing upgrades underneath you.

How soon can I have one?

It depends on whether the card is already fitted, already on our shelf, or has to be bought in — and you are told which before you pay. /instant lists machines racked and ready right now.